CN102889864A - Detection system for tower shape of object with strip coil edge and detection method thereof - Google Patents

Abstract

The invention discloses a detection system for a tower shape of an object with a strip coil edge and a detection method for the tower shape of the object with the strip coil edge. The detection system comprises a linear laser source, an image acquisition unit, an image processing unit, an image-point curve converting unit and a quality judgment unit, wherein the linear laser source is used for radiating a surface of the strip coil edge of the object to form light spots; the image acquisition unit and the linear laser source are fixed relatively; the image processing unit is used for processing image-point images acquired by the image acquisition unit; the image-point curve converting unit is used for performing statistics on a coordinate position of each image point in accordance with a method for acquiring all image points by traversing, and using image-point curves to calculate a fitting straight-line; and the quality judgment unit is used for judging whether tower-shaped quality of the edge of the object is qualified or not in accordance with a distance between each image point obtained by calculation of the image-point curve converting unit and the fitting straight-line. According to the invention, the quality of the strip coil edge in coiling is subjected to quantitative detection in accordance with changed digital images projected by laser rays.

Description

Band flanging part object turriform detection system and detection method thereof

Technical field

The invention belongs to the visual sensing technical field, relate to a kind of turriform detection system, relate in particular to a kind of band flanging part object turriform detection system; Simultaneously, the invention still further relates to above-mentioned detection method with flanging part object turriform detection system.

Background technology

Some roll coil of strips (comprising various metals, plastics etc.) are although have opposite side or centralising device in the wrap-up of cleaning machine row, air cushion annealing furnace, milling train etc., owing to reasons such as the hysteresis of the servo control mechanism of the pattern of electrical control or machinery, band roll of material gage distortions, can cause irregular (being that the turriform degree is bad) with flanging part.Owing to there is no at present measuring method and instrument that the turriform to such product tape flanging part quantizes, thus the method that generally detects by an unaided eye can only qualitatively estimate like this, be unfavorable for the examination to equipment, product, personnel operation technology.

In view of this, those skilled in the art provide a kind of simple in structure for the problems referred to above, and operation is convenient, and machine intelligence measurement mechanism with low cost.

Summary of the invention

Technical matters to be solved by this invention is: a kind of band flanging part object turriform detection system is provided, overcome the difficulty of prior art, realized the quality the when digital picture that can change according to the projection of Ear Mucosa Treated by He Ne Laser Irradiation line quantitatively detects the limit section winding of the roll coil of strip.

In addition, the present invention further provides above-mentioned detection method with flanging part object turriform detection system, overcome the difficulty of prior art, realized the quality the when digital picture that can change according to the projection of Ear Mucosa Treated by He Ne Laser Irradiation line quantitatively detects the limit section winding of the roll coil of strip.

For solving the problems of the technologies described above, the present invention adopts following technical scheme:

A kind of band flanging part object turriform detection system, described system comprises:

The linear laser source in order to the surface irradiation to object band flanging part, forms the hot spot point;

Image acquisition unit, relative fixing with the position in described linear laser source; Reflected light produces picture point through the lens on this image acquisition unit at light-sensitive detector, and image acquisition unit obtains the picture point image;

Graphics processing unit, the picture point image that described image acquisition unit is obtained carries out the image processing, in the intercepting picture point image with the image in flanging part zone, truncated picture is processed, so that the picture point of linear laser source irradiation is setpoint color, each picture point forms a picture point curve, and all the other regional colors are different from the color of the picture point of linear laser source irradiation;

Picture point Curve transform unit is the method for setpoint color picture point by color in all picture point that travel through whole Image Acquisition, and the coordinate position that represents each picture point of curve in the image is come out; Curve with the representative of setpoint color picture point pixel comes the digital simulation straight line, and calculates each picture point from the distance of this straight line;

Whether the quality judging unit is qualified from the Distance Judgment object limit section turriform quality of this straight line in order to each picture point that calculates according to described picture point Curve transform unit.

As a preferred embodiment of the present invention, the determination methods of described quality judging unit comprises: invest the standard component that depression is arranged on the winding limit during according to shooting, its known depression is the N millimeter, and the difference of height of the winding of wanting to ask is made as the M millimeter; Form the mirror image of n pixel in the focal plane according to the image of N millimeter in the index path of lens; In the described index path, constant by the light path of photocentre, the light of other points of process converges the 2f focal plane imaging through overfocus f;

Obtain one group of similar triangles according to identical, the remaining right angle of vertical angle is also identical; There is N/depth=n/2f to set up; In like manner the winding difference of height M/depth=m/2f in same image namely has N/n=M/m; Wherein, depth is the depth of field, and f is focal length;

M＝N*m/n；

Thereby the concavo-convex standard component of known N millimeter and just can calculate M millimeter with the flanging part position by the n pixel of calculating in the picture point Curve transform unit and m pixel;

Perhaps, the determination methods of described quality judging unit comprises: the radius with the in-site measurement winding is compared as benchmark, thereby draws the M millimeter with the flanging part position, and this moment, shooting angle remained 45° angle, made laterally with long measure is identical longitudinally.

As a preferred embodiment of the present invention, the image processing step of described graphics processing unit comprises:

The brightness transition step is obtained various suitable brightness, contrast, exponential transform Gamma and is carried out conversion process;

The gray processing step, the gray scale of color variable black and white 256 color ranges;

The binaryzation step is chosen best threshold value, image conversion is become to only have the image on black and white 2 rank;

Anti-phase step, all image black rank become the white rank of image, and the white rank of image become the image black rank;

The morphology operations expansion step makes the image curve bridge joint;

The morphology operations corrosion step carries out picture noise filtering;

Topological structure thinning processing step, it is unique that namely Skeleton makes image value on the Y coordinate axis.

As a preferred embodiment of the present invention, the image processing step of described graphics processing unit further comprises top cap shift step, and top cap top-hat is the important conversion in the morphology; When image capture conditions is poor, and can't retake, to a kind of method of the inhomogeneous illumination of correct image afterwards; The top cap conversion h of image f is defined as the poor of image f and image f opening operation: h=f-(foS), foS are that structural element S carries out opening operation to f.

As a preferred embodiment of the present invention, described picture point Curve transform unit travels through all picture point and the picture point of black is selected, and X-axis coordinate position, the Y-axis coordinate position of statistics black image point;

Carry out least square method with the curve after the refinement and come fitting a straight line, and calculate each point from distance and the dispersion of straight line, and with removing from straight line farthest or setting a plurality of picture point, again use least square method digital simulation straight line, until the number of times of digital simulation straight line reaches set point number; Progressively to approach the optimal straight line equation, the accurate Calculation each point is from the distance of the tropic; And the data that calculate are sent in the electrical form.

As a preferred embodiment of the present invention, as follows by the method for least square fitting straight line:

The point that experiment is discrete is looked for straight line: y=a ₀+ a ₁X;

Make this straight line and testing site nearest, that is: $Q=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{[y_i-(a_0+a_1{x}_i)]}^2;$

This straight line satisfies: $\left\{\begin{array}{c}\frac{\∂Q}{\∂a_0}=0\\ \frac{\∂Q}{\∂a_1}=0\end{array}\right.;$

Represent namely with discrete mathematics: $\left\{\begin{array}{c}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}(y_i-a_0-a_1{x}_i)=0\\ \underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i(y_i-a_0-a_1{x}_i)=0\end{array}\right.;$

Solving this canonical equation obtains: $\left.\begin{array}{c}{a}_0=(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i-a1\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i)/n\\ a_1=\frac{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i{y}_i-\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i\right)}{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i^2-{\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)}^2}\end{array}\right\}.$

As a preferred embodiment of the present invention, described linear laser source is single linear pattern LASER Light Source, fixedly shines perpendicular to object band flanging part; Described image acquisition unit is digital camera or Digital Video, and when taking and the surface of made thing body band flanging part is the oblique shooting of 45° angle;

As a preferred embodiment of the present invention, described image acquisition unit is when taking, and the standard component of use known depth is attached to the winding limit and takes with object, calculates converted image with known standard depth and counts and actual object long measure.

As a preferred embodiment of the present invention, place standard component at the two ends of subject, carry out the accuracy compensation of the linearity.

As a preferred embodiment of the present invention, the emission angle in linear laser source and the shooting angle of image acquisition unit are fixed values; When the distance of laser sensor and target object changed, corresponding variation also occured in the image point position on the light-sensitive detector, calculated the variation of height according to the triangular relationship of image, had namely measured the variation of height.

A kind of above-mentioned detection method with flanging part object turriform detection system, described detection method comprises the steps:

Step S1, linear laser source form the hot spot point to the surface irradiation of object band flanging part;

Step S2, image acquisition unit are relative fixing with the position in described linear laser source; Reflected light produces picture point through the lens on this image acquisition unit at light-sensitive detector, and image acquisition unit obtains the picture point image;

The picture point image that step S3, graphics processing unit obtain described image acquisition unit carries out image to be processed, in the intercepting picture point image with the image in flanging part zone, truncated picture is processed, so that the picture point of linear laser source irradiation is setpoint color, each picture point forms a picture point curve, and all the other regional colors are different from the color of the picture point of linear laser source irradiation;

Step S4, picture point Curve transform unit are the method for setpoint color picture point by color in all picture point that travel through whole Image Acquisition, and the coordinate position that represents each picture point of curve in the image is come out; Curve with the representative of setpoint color picture point pixel comes the digital simulation straight line, and calculates each picture point from the distance of this straight line;

Whether step S5, quality judging unit be qualified from the Distance Judgment object limit section turriform quality of this straight line according to each picture point that described picture point Curve transform unit calculates.

As a preferred embodiment of the present invention, among the described step S5, the determination methods of quality judging unit comprises: invest the standard component that depression is arranged on the winding limit during according to shooting, its known depression is the N millimeter, and the difference of height of the winding of wanting to ask is made as the M millimeter; Form the mirror image of n pixel in the focal plane according to the image of N millimeter in the index path of lens; In the described index path, constant by the light path of photocentre, the light of other points of process converges the 2f focal plane imaging through overfocus f;

Obtain one group of similar triangles according to identical, the remaining right angle of vertical angle is also identical; There is N/depth=n/2f to set up; In like manner the winding difference of height M/depth=m/2f in same image namely has N/n=M/m; Wherein, depth is the depth of field, and f is focal length;

M＝N*m/n；

Thereby the concavo-convex standard component of known N millimeter and just can calculate M millimeter with the flanging part position by the n pixel of calculating in the picture point Curve transform unit and m pixel;

Perhaps, the determination methods of described quality judging unit comprises: the radius with the in-site measurement winding is compared as benchmark, thereby draws the M millimeter with the flanging part position, and this moment, shooting angle remained 45° angle, made laterally with long measure is identical longitudinally.

As a preferred embodiment of the present invention, among the described step S3, the image processing step of graphics processing unit comprises:

The brightness transition step is obtained various suitable brightness, contrast, exponential transform Gamma and is carried out conversion process;

The gray processing step, the gray scale of color variable black and white 256 color ranges;

The binaryzation step is chosen best threshold value, image conversion is become to only have the image on black and white 2 rank;

Anti-phase step, the black rank in all images become the white rank in the image, and the white rank in the image become the black rank in the image;

The morphology operations expansion step makes the image curve bridge joint;

The morphology operations corrosion step carries out picture noise filtering;

Use when illumination was inhomogeneous when top cap shift step, this step were taken at image acquisition unit; Top cap top-hat is the important conversion in the morphology; When image capture conditions is poor, and can't retake, to a kind of method of the inhomogeneous illumination of correct image afterwards; The top cap conversion h of image f is defined as the poor of image f and image f opening operation: h=f-(foS), foS are that structural element S carries out opening operation to f.

Topological structure thinning processing step, it is unique that namely Skeleton makes image value on the Y coordinate axis.

As a preferred embodiment of the present invention, among the described step S4, picture point Curve transform unit travels through all picture point and the picture point of black is selected, and X-axis coordinate position, the Y-axis coordinate position of statistics black image point; Carry out least square method with the curve after the refinement and come fitting a straight line, and calculate each point from distance and the dispersion of straight line, and with removing from straight line farthest or setting a plurality of picture point, again use least square method digital simulation straight line, until the number of times of digital simulation straight line reaches set point number; Progressively to approach the optimal straight line equation, the accurate Calculation each point is from the distance of the tropic; And the data that calculate are sent in the electrical form.

As a preferred embodiment of the present invention, among the described step S4, as follows by the method for least square fitting straight line:

The point that experiment is discrete is looked for straight line: y=a ₀+ a ₁X;

Make this straight line and testing site nearest, that is: $Q=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{[y_i-(a_0+a_1{x}_i)]}^2;$

This straight line satisfies: $\left\{\begin{array}{c}\frac{\∂Q}{\∂a_0}=0\\ \frac{\∂Q}{\∂a_1}=0\end{array}\right.;$

Represent namely with discrete mathematics: $\left\{\begin{array}{c}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}(y_i-a_0-a_1{x}_i)=0\\ \underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i(y_i-a_0-a_1{x}_i)=0\end{array}\right.;$

Solving this canonical equation obtains: $\left.\begin{array}{c}{a}_0=(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i-a1\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i)/n\\ a_1=\frac{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i{y}_i-\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i\right)}{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i^2-{\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)}^2}\end{array}\right\}.$

As a preferred embodiment of the present invention, described linear laser source is single linear pattern LASER Light Source, fixedly shines perpendicular to object band flanging part; Described image acquisition unit is digital camera or Digital Video, and when taking and the surface of made thing body band flanging part is the oblique shooting of 45° angle;

As a preferred embodiment of the present invention, described image acquisition unit is when taking, and the standard component of use known depth is attached to the winding limit and takes with object, calculates converted image with known standard depth and counts and actual object long measure.

As a preferred embodiment of the present invention, place standard component at the two ends of subject, carry out the accuracy compensation of the linearity.

As a preferred embodiment of the present invention, the emission angle in linear laser source and the shooting angle of image acquisition unit are fixed values; When the distance of laser sensor and target object changed, corresponding variation also occured in the image point position on the light-sensitive detector, calculated the variation of height according to the triangular relationship of image, had namely measured the variation of height.

A kind of band flanging part object turriform detection system, described system comprises:

The linear laser source in order to the surface irradiation to object band flanging part, forms the hot spot point;

Image acquisition unit, relative fixing with the position in described linear laser source; Reflected light produces picture point through the lens on this image acquisition unit at light-sensitive detector, and image acquisition unit obtains the picture point image;

Graphics processing unit, the picture point image that described image acquisition unit is obtained carries out the image processing, in the intercepting picture point image with the image in flanging part zone, truncated picture is processed, so that the picture point of linear laser source irradiation is black, each picture point forms a picture point curve, and all the other zones are not black;

Picture point Curve transform unit, the method by stain in all images that travel through whole Image Acquisition comes out the coordinate position that represents each stain of curve in the image; Curve with the representative of stain pixel comes the digital simulation straight line, and calculates each picture point from the distance of this straight line;

Whether the quality judging unit is qualified from the Distance Judgment object limit section turriform quality of this straight line in order to each picture point that calculates according to described picture point Curve transform unit.

Beneficial effect of the present invention is: band flanging part object turriform detection system and detection method thereof that the present invention proposes, shine the surface (being roll coil of strip avris) of target object when laser structure list linear lighting bundle (single line), form a hot spot point, reflected light produces a picture point through the lens on digital camera head or the digital camera at light-sensitive detector.Because the relative position of laser instrument and digital camera head is fixed, when the distance of laser sensor and target object changes, corresponding variation also occurs in the image point position on the light-sensitive detector, so can calculate the variation of height according to the triangular relationship of image, namely measure the variation turriform degree of flanging part (namely with) of height.Then digitized image being delivered in the computing machine claims again the method for computer vision (Computer Vision) to analyze, calculate, add up with machine vision (Machine Vision).Thereby realize various tower degree with web edge section are carried out the accurate nondestructive measurement of three-dimensional, its Z axis (depth direction), Y (left and right directions) full accuracy can reach about 100um.

Description of drawings

Fig. 1 is the composition schematic diagram of band flanging part object turriform detection system of the present invention.

Fig. 2 is the process flow diagram of band flanging part object turriform detection method of the present invention.

Fig. 3 is the index path of lens.

Embodiment

Describe the preferred embodiments of the present invention in detail below in conjunction with accompanying drawing.

Embodiment one

See also Fig. 1, the present invention has disclosed a kind of band flanging part object turriform detection system, and described system comprises linear laser source 11, image acquisition unit 12, graphics processing unit 13, picture point Curve transform unit 14, quality judging unit 15.

[linear laser source]

Linear laser source 11 forms the hot spot point in order to the surface irradiation to object band flanging part.Preferably, the linear laser source is fixedly shone perpendicular to object band flanging part.

In the present embodiment, the linear laser source is the Solid State Laser diode, and selects the larger Solid State Laser diode of luminous frequency spectrum and testee color distortion.Simultaneously, the central side of laser beam preferably is aligned in the center of measured object shooting, to reduce because the aberration and the aberration that cause when taking a picture.

[image acquisition unit]

Image acquisition unit 12 is relative fixing with the position in described linear laser source 11; Reflected light produces picture point through the lens on this image acquisition unit at light-sensitive detector, and image acquisition unit obtains the picture point image.

In the present embodiment, described image acquisition unit is digital camera or Digital Video, such as pixel more than 1,000 ten thousand, but manual focus, Manual exposure, and fixedly prevent shake with tripod.

When taking and the surface of made thing body band flanging part is the oblique shooting of 45° angle (comprising other angle when situation is special).

Preferably, at the single-ended standard component that a known cup depth is set of testee, can in program, the pixel conversion that calculates be become long measure like this.If the standard component of a known cup depth all is set at the image two ends of camera lens when taking a picture in addition, can in program, carries out like this compensation of laser image and calculate to reduce error.

In addition, the shooting angle of the emission angle in linear laser source and image acquisition unit fixed value preferably.When the distance of laser sensor and target object changes, corresponding variation also occurs in the image point position on the light-sensitive detector, calculate the variation of height according to the triangular relationship of image, namely measured the variation turriform degree of flanging part (namely with) of height.

[graphics processing unit]

The picture point image that 13 pairs of described image acquisition units 12 of graphics processing unit obtain carries out image to be processed, in the intercepting picture point image with the image in flanging part zone, truncated picture is processed, so that the picture point of linear laser source irradiation is setpoint color, each picture point forms a picture point curve, and the regional color of all the other of image is different with the color of the picture point that the linear laser source is shone.In the present embodiment, by brightness, contrast, exponential transform, and the processes such as binary conversion treatment, reverse process are processed into black with the picture point of linear laser source irradiation, and other zones are white.

In the present embodiment, the image processing step of described graphics processing unit comprises:

The brightness transition step is obtained various suitable brightness, contrast, exponential transform Gamma and is carried out conversion process;

The gray processing step, the gray scale of color variable black and white 256 color ranges;

The binaryzation step is chosen best threshold value, image conversion is become to only have the image on black and white 2 rank;

Anti-phase step, the black rank in all images become the white rank in the image, and the white rank in the image become the black rank in the image;

The morphology operations expansion step makes the image curve bridge joint;

The morphology operations corrosion step carries out picture noise filtering, removes all little isolated points;

Use when illumination was inhomogeneous when top cap shift step, this step were taken at image acquisition unit; Top cap (top-hat) is the important conversion in the morphology.When image capture conditions is relatively poor, and can't retake, to a kind of method of the inhomogeneous illumination of correct image afterwards.The top cap conversion h of image f is defined as the poor of image f and image f opening operation: h=f-(foS) [annotate: foS is that structural element S carries out opening operation to f], if unnecessarily generally can be without this calculation procedure.

Topological structure refinement (Skeleton) treatment step, it is unique that namely Skeleton makes image value on the Y coordinate axis;

The image scaling step.

Preferably, select based on window application and in program and use the OpenCV class of increasing income, when image is processed, carry out easily like this intercepting, convergent-divergent, GTG, brilliance control (changing Brightness, Contrast, the Gamma value of image), the refinement of image.

[picture point Curve transform unit]

Picture point Curve transform unit 14 comes out the coordinate position that represents each stain of curve in the image by the method for stain in all picture point of the whole Image Acquisition of traversal; Curve with the representative of stain pixel comes the digital simulation straight line, and calculates each picture point from the distance of this straight line.

Preferably, select based on window application and in program and export with Excel form or Access database format, with seamless links convenient and other application programs.The user of service can use Excel form or Access database format to carry out easily exploitation second time according to situation separately like this, thereby has also just guaranteed the popularity of use.

In the present embodiment, described picture point Curve transform unit travels through all picture point and the picture point of black is selected, and X-axis coordinate position, the Y-axis coordinate position of statistics black image point.Carry out least square method with the curve after the refinement and come fitting a straight line, and calculate each point from distance and the dispersion of straight line, and with removing from straight line farthest or setting a plurality of picture point, again use least square method digital simulation straight line, until the number of times of digital simulation straight line reaches set point number; Progressively to approach the optimal straight line equation, the accurate Calculation each point is from the distance of the tropic; And the data that calculate are sent in the electrical form.

Wherein, the method by the least square fitting straight line is as follows:

The point that experiment is discrete is looked for straight line: y=a ₀+ a ₁X;

Make this straight line and testing site nearest, that is: $Q=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{[y_i-(a_0+a_1{x}_i)]}^2;$

This straight line satisfies: $\left\{\begin{array}{c}\frac{\∂Q}{\∂a_0}=0\\ \frac{\∂Q}{\∂a_1}=0\end{array}\right.;$

Represent namely with discrete mathematics: $\left\{\begin{array}{c}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}(y_i-a_0-a_1{x}_i)=0\\ \underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i(y_i-a_0-a_1{x}_i)=0\end{array}\right.;$

Solving this canonical equation obtains: $\left.\begin{array}{c}{a}_0=(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i-a1\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i)/n\\ a_1=\frac{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i{y}_i-\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i\right)}{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i^2-{\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)}^2}\end{array}\right\}.$

[quality judging unit]

Whether quality judging unit 15 is qualified from the Distance Judgment object limit section turriform quality of this straight line in order to each picture point that calculates according to described picture point Curve transform unit.

The concrete determination methods of quality judging unit 15 is roughly as follows: invest the standard component that depression is arranged on the winding limit when taking, its known depression is the N millimeter, and the difference of height of the winding of wanting to ask is made as M millimeter (as shown in Figure 3).Form the mirror image of n pixel in the focal plane according to the image of N millimeter in the index path (light path by photocentre is constant, and the light of other points of process converges the 2f focal plane imaging through overfocus f) of lens.The right angle identical, remaining according to vertical angle is also identical, obtains one group of similar triangles.There is N/depth (depth of field)=n/2f (focal length) to set up.In like manner the winding difference of height M/depth (depth of field) in same image=m/2f (focal length) namely has N/n=M/m; M=N*m/n.

Thereby the concavo-convex standard component of known N millimeter and just can calculate M millimeter with the flanging part position by the n pixel of calculating in the picture point Curve transform unit and m pixel.

If there is not in addition concavo-convex standard component, radius that then can the in-site measurement winding is compared as benchmark, thereby draws the M millimeter with the flanging part position, and principle is the same.But shooting angle must keep 45° angle, makes laterally with long measure is identical longitudinally.

More than introduced band flanging part object turriform detection system of the present invention, the present invention disclose above-mentioned be with flanging part object turriform detection system in, also disclosed above-mentioned detection method with flanging part object turriform detection system.See also Fig. 2, described detection method comprises the steps:

[step S1] linear laser source forms the hot spot point to the surface irradiation of object band flanging part.Preferably, the linear laser source is fixedly shone perpendicular to object band flanging part.

In the present embodiment, the linear laser source is the Solid State Laser diode, and selects the larger Solid State Laser diode of luminous frequency spectrum and testee color distortion.Simultaneously, the central side of laser beam preferably is aligned in the center of measured object shooting, to reduce because the aberration and the aberration that cause when taking a picture.

[step S2] image acquisition unit is relative fixing with the position in described linear laser source; Reflected light produces picture point through the lens on this image acquisition unit at light-sensitive detector, and image acquisition unit obtains the picture point image.

In the present embodiment, described image acquisition unit is digital camera or Digital Video, and when taking and the surface of made thing body band flanging part is the oblique shooting of 45° angle;

Preferably, at the single-ended standard component that a known cup depth is set of testee, can in program, the pixel conversion that calculates be become long measure like this.If the standard component of a known cup depth all is set at the image two ends of camera lens when taking a picture in addition, can in program, carries out like this compensation of laser image and calculate to reduce error.

The picture point image that [step S3] graphics processing unit obtains described image acquisition unit carries out image to be processed, in the intercepting picture point image with the image in flanging part zone, truncated picture is processed, so that the picture point of linear laser source irradiation is black, each picture point forms a picture point curve, and all the other zones are not black.

Wherein, the image processing step of graphics processing unit specifically comprises:

The brightness transition step is obtained various suitable brightness, contrast, exponential transform Gamma and is carried out conversion process;

The gray processing step, the gray scale of color variable black and white 256 color ranges;

The binaryzation step is chosen best threshold value, image conversion is become to only have the image on black and white 2 rank;

Anti-phase step, all image black rank become the white rank of image, and the white rank of image become the image black rank;

The morphology operations expansion step makes the image curve bridge joint;

The morphology operations corrosion step carries out picture noise filtering;

Use when illumination was inhomogeneous when top cap shift step, this step were taken at image acquisition unit; Top cap (top-hat) is the important conversion in the morphology.When image capture conditions is relatively poor, and can't retake, to a kind of method of the inhomogeneous illumination of correct image afterwards.The top cap conversion h of image f is defined as the poor of image f and image f opening operation: h=f-(foS) [annotate: foS is that structural element S carries out opening operation to f], if unnecessarily generally can be without this calculation procedure.

Topological structure thinning processing step, it is unique that namely Skeleton makes image value on the Y coordinate axis;

The image scaling step.

[step S4] picture point Curve transform unit comes out the coordinate position that represents each stain of curve in the image by the method for stain in all picture point of the whole Image Acquisition of traversal; Curve with the representative of stain pixel comes the digital simulation straight line, and calculates each picture point from the distance of this straight line.

In the present embodiment, picture point Curve transform unit travels through all picture point and the picture point of black is selected, and X-axis coordinate position, the Y-axis coordinate position of statistics black image point; Carry out least square method with the curve after the refinement and come fitting a straight line, and calculate each point from distance and the dispersion of straight line, and with removing from straight line farthest or setting a plurality of picture point, again use least square method digital simulation straight line, until the number of times of digital simulation straight line reaches set point number; Progressively to approach the optimal straight line equation, the accurate Calculation each point is from the distance of the tropic; And the data that calculate are sent in the electrical form.

Wherein, the method by the least square fitting straight line is as follows:

The point that experiment is discrete is looked for straight line: y=a ₀+ a ₁X;

Make this straight line and testing site nearest, that is: $Q=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{[y_i-(a_0+a_1{x}_i)]}^2;$

This straight line satisfies: $\left\{\begin{array}{c}\frac{\∂Q}{\∂a_0}=0\\ \frac{\∂Q}{\∂a_1}=0\end{array}\right.;$

Represent namely with discrete mathematics: $\left\{\begin{array}{c}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}(y_i-a_0-a_1{x}_i)=0\\ \underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i(y_i-a_0-a_1{x}_i)=0\end{array}\right.;$

Solving this canonical equation obtains: $\left.\begin{array}{c}{a}_0=(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i-a1\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i)/n\\ a_1=\frac{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i{y}_i-\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i\right)}{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i^2-{\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)}^2}\end{array}\right\}.$

Whether [step S5] quality judging unit is qualified from the Distance Judgment object limit section turriform quality of this straight line according to each picture point that described picture point Curve transform unit calculates.

The concrete determination methods of quality judging unit is roughly as follows: invest the standard component that depression is arranged on the winding limit when taking, its known depression is the N millimeter, and the difference of height of the winding of wanting to ask is made as M millimeter (as shown in Figure 3).Form the mirror image of n pixel in the focal plane according to the image of N millimeter in the index path (light path by photocentre is constant, and the light of other points of process converges the 2f focal plane imaging through overfocus f) of lens.The right angle identical, remaining according to vertical angle is also identical, obtains one group of similar triangles.There is N/depth (depth of field)=n/2f (focal length) to set up.In like manner the winding difference of height M/depth (depth of field) in same image=m/2f (focal length) namely has N/n=M/m; M=N*m/n.

Thereby the concavo-convex standard component of known N millimeter and just can calculate M millimeter with the flanging part position by the n pixel of calculating in the picture point Curve transform unit and m pixel.

If there is not in addition concavo-convex standard component, radius that then can the in-site measurement winding is compared as benchmark, thereby draws the M millimeter with the flanging part position, and principle is the same.But shooting angle must keep 45° angle, makes laterally with long measure is identical longitudinally.

Embodiment two

The present embodiment discloses a kind of band flanging part object turriform detection system, and described system comprises: linear laser source, image acquisition unit, graphics processing unit, picture point Curve transform unit, quality judging unit.Mainly be the different of its graphics processing unit, picture point Curve transform unit from some difference of embodiment.

The linear laser source forms the hot spot point in order to the surface irradiation to object band flanging part.

Image acquisition unit is relative fixing with the position in described linear laser source; Reflected light produces picture point through the lens on this image acquisition unit at light-sensitive detector, and image acquisition unit obtains the picture point image.

The picture point image that graphics processing unit obtains described image acquisition unit carries out image to be processed, in the intercepting picture point image with the image in flanging part zone, truncated picture is processed, so that the picture point of linear laser source irradiation is setpoint color, each picture point forms a picture point curve, and the regional color of all the other of image is different with the color of the picture point that the linear laser source is shone.

Picture point Curve transform unit is the method for setpoint color picture point by color in all picture point that travel through whole Image Acquisition, and the coordinate position that represents each picture point of curve in the image is come out; Curve with the representative of setpoint color picture point pixel comes the digital simulation straight line, and calculates each picture point from the distance of this straight line.

Whether the quality judging unit is qualified from the Distance Judgment object limit section turriform quality of this straight line in order to each picture point that calculates according to described picture point Curve transform unit.

In embodiment three the present embodiment, band flanging part object turriform detection method of the present invention comprises the steps:

Use the laser linear light irradiation at the avris of the target object roll coil of strip, with high-precision digital camera exactly focusing take.

The image that shooting is obtained carries out the part sectional drawing, removes incoherent part, makes the image of back process easier.

Truncated picture is processed.Comprise: brightness transition (getting various suitable brightness, contrast, exponential transform Gamma); Gray processing (gray scales of color variable black and white 256 color ranges); Binaryzation (choose best threshold value, image conversion is become to only have the image on black and white 2 rank); Anti-phase (all black bleaching and leucismus is black); Morphology operations expansion (making the image curve bridge joint); Morphology operations corrosion (picture noise filtering); Top cap conversion (using when illumination is inhomogeneous during shooting); Topological structure thinning processing (it is unique that both Skeleton had made image value on the Y coordinate axis); Image scaling etc.

Image curve converts the electrical form step to, comprising: travel through all picture point and the picture point of black is selected, and add up X-axis coordinate position, the Y-axis coordinate position of this point; With the straight line of least square fitting, the each point distance from this straight line, and data are sent in the electrical form go.

Straight line principle and the formula of least square fitting are as follows:

The point that experiment is discrete is looked for straight line: y=a ₀+ a ₁x

Make it and testing site nearest (sum of square of deviations) namely: $Q=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{[y_i-(a_0+a_1{x}_i)]}^2$

This straight line satisfies: $\left\{\begin{array}{c}\frac{\∂Q}{\∂a_0}=0\\ \frac{\∂Q}{\∂a_1}=0\end{array}\right.$ Represent namely with discrete mathematics: $\left\{\begin{array}{c}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}(y_i-a_0-a_1{x}_i)=0\\ \underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i(y_i-a_0-a_1{x}_i)=0\end{array}\right.$

Solving this canonical equation obtains: $\left.\begin{array}{c}{a}_0=(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i-a1\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i)/n\\ a_1=\frac{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i{y}_i-\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i\right)}{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i^2-{\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)}^2}\end{array}\right\}$

This example is through being calculated as: a ₀=58.8528 a ₁=0.0481

Using laser tower pick-up unit of the present invention to detect has the situation of master body as follows:

To the standard component of known cup depth with 90 ° of angles with the image of Ear Mucosa Treated by He Ne Laser Irradiation cameras after 45° angle is taken.Be shown as 40 points (pix) in 4 millimeters the recess width image; And 3 millimeters cup depths are shown as 30 points (pix) in image.Namely per 1 point (pix) of the scale when this is measured is 0.1 millimeter.

According to formula M=N*m/n

N=4mm n=40pix can draw that actual depression M is 3 millimeters when the m=30pix in the image in this example.All other points all calculate in this ratio.

Concrete experiment: producing diameter is the copper strip roll of 1000mm, and winding limit section is being taken smoothly, calculating, and to be 780pix curling up-to-standard in the 795pix scope for sequence number in electrical form.

As known from the above, owing to having adopted above-mentioned technology, the present invention takes pictures, calculates the quality that can quantitatively detect limit section tower line by the limit section Ear Mucosa Treated by He Ne Laser Irradiation to copper strips, Copper Foil or other material roll coil of strip.

In sum, band flanging part object turriform detection system and detection method thereof that the present invention proposes, can realize various tower degree with web edge section are carried out the accurate nondestructive measurement of three-dimensional, its Z axis (depth direction), Y (left and right directions) full accuracy can reach about 100um.

Here description of the invention and application is illustrative, is not to want with scope restriction of the present invention in the above-described embodiments.Here the distortion of disclosed embodiment and change is possible, and the various parts of the replacement of embodiment and equivalence are known for those those of ordinary skill in the art.Those skilled in the art are noted that in the situation that do not break away from spirit of the present invention or essential characteristic, and the present invention can be with other form, structure, layout, ratio, and realize with other assembly, material and parts.In the situation that do not break away from the scope of the invention and spirit, can carry out other distortion and change to disclosed embodiment here.

Claims (20)

1. a band flanging part object turriform detection system is characterized in that, described system comprises:

The linear laser source in order to the surface irradiation to object band flanging part, forms the hot spot point;

Image acquisition unit, relative fixing with the position in described linear laser source; Reflected light produces picture point through the lens on this image acquisition unit at light-sensitive detector, and image acquisition unit obtains the picture point image;

Graphics processing unit, the picture point image that described image acquisition unit is obtained carries out the image processing, in the intercepting picture point image with the image in flanging part zone, truncated picture is processed, so that the picture point of linear laser source irradiation is setpoint color, each picture point forms a picture point curve, and the regional color of all the other of image is different with the color of the picture point that the linear laser source is shone;

Picture point Curve transform unit is the method for setpoint color picture point by color in all picture point that travel through whole Image Acquisition, and the coordinate position that represents each picture point of curve in the image is come out; Curve with the representative of setpoint color picture point pixel comes the digital simulation straight line, and calculates each picture point from the distance of this straight line;

Whether the quality judging unit is qualified from the Distance Judgment object limit section turriform quality of this straight line in order to each picture point that calculates according to described picture point Curve transform unit.

2. band flanging part turriform detection system according to claim 1 is characterized in that:

The determination methods of described quality judging unit comprises: invest the standard component that depression is arranged on the winding limit during according to shooting, its known depression is the N millimeter, and the difference of height of the winding of wanting to ask is made as the M millimeter; Form the mirror image of n pixel in the focal plane according to the image of N millimeter in the index path of lens; In the described index path, constant by the light path of photocentre, the light of other points of process converges the 2f focal plane imaging through overfocus f;

Obtain one group of similar triangles according to identical, the remaining right angle of vertical angle is also identical; There is N/depth=n/2f to set up; In like manner the winding difference of height M/depth=m/2f in same image namely has N/n=M/m; Wherein, depth is the depth of field, and f is focal length;

M＝N*m/n；

Thereby the concavo-convex standard component of known N millimeter and just can calculate M millimeter with the flanging part position by the n pixel of calculating in the picture point Curve transform unit and m pixel;

Perhaps, the determination methods of described quality judging unit comprises: the radius with the in-site measurement winding is compared as benchmark, thereby draws the M millimeter with the flanging part position, and this moment, shooting angle remained 45° angle, made laterally with long measure is identical longitudinally.

3. band flanging part turriform detection system according to claim 1 is characterized in that:

The image processing step of described graphics processing unit comprises:

The brightness transition step is obtained various suitable brightness, contrast, exponential transform Gamma and is carried out conversion process;

The gray processing step, the gray scale of color variable black and white 256 color ranges;

The binaryzation step is chosen best threshold value, image conversion is become to only have the image on black and white 2 rank;

Anti-phase step, all image black rank become the white rank of image, and the white rank of image become the image black rank;

The morphology operations expansion step makes the image curve bridge joint;

The morphology operations corrosion step carries out picture noise filtering;

Topological structure thinning processing step, it is unique that namely Skeleton makes image value on the Y coordinate axis.

4. band flanging part turriform detection system according to claim 3 is characterized in that:

The image processing step of described graphics processing unit further comprises top cap shift step, and top cap top-hat is the important conversion in the morphology; When image capture conditions is poor, and can't retake, to a kind of method of the inhomogeneous illumination of correct image afterwards; The top cap conversion h of image f is defined as the poor of image f and image f opening operation: h=f-(foS), foS are that structural element S carries out opening operation to f.

5. band flanging part turriform detection system according to claim 3 is characterized in that:

Described picture point Curve transform unit travels through all picture point and the picture point of black is selected, and X-axis coordinate position, the Y-axis coordinate position of statistics black image point;

Carry out least square method with the curve after the refinement and come fitting a straight line, and calculate each point from distance and the dispersion of straight line, and with removing from straight line farthest or setting a plurality of picture point, again use least square method digital simulation straight line, until the number of times of digital simulation straight line reaches set point number; Progressively to approach the optimal straight line equation, the accurate Calculation each point is from the distance of the tropic; And the data that calculate are sent in the electrical form.

6. band flanging part turriform detection system according to claim 5 is characterized in that:

Method by the least square fitting straight line is as follows:

The point that experiment is discrete is looked for straight line: y=a ₀+ a ₁X;

Make this straight line and testing site nearest, that is: $Q=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{[y_i-(a_0+a_1{x}_i)]}^2;$

This straight line satisfies: $\left\{\begin{array}{c}\frac{\∂Q}{\∂a_0}=0\\ \frac{\∂Q}{\∂a_1}=0\end{array}\right.;$

Represent namely with discrete mathematics: $\left\{\begin{array}{c}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}(y_i-a_0-a_1{x}_i)=0\\ \underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i(y_i-a_0-a_1{x}_i)=0\end{array}\right.;$

Solving this canonical equation obtains: $\left.\begin{array}{c}{a}_0=(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i-a1\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i)/n\\ a_1=\frac{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i{y}_i-\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i\right)}{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i^2-{\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)}^2}\end{array}\right\}.$

7. according to claim 1 to one of 6 described band flanging part turriform detection systems, it is characterized in that:

Described linear laser source is single linear pattern LASER Light Source, fixedly shines perpendicular to object band flanging part;

Described image acquisition unit is digital camera or Digital Video, and when taking and the surface of made thing body band flanging part is the oblique shooting of 45° angle;

8. according to claim 1 to one of 6 described band flanging part turriform detection systems, it is characterized in that:

Described image acquisition unit uses the standard component of known depth to be attached to winding limit section when taking, and takes with object, calculates converted image with known standard depth and counts and actual object long measure.

9. band flanging part turriform detection system according to claim 8 is characterized in that:

Place respectively the standard component of known depth at the two ends of subject, take with object, calculate converted image with known standard depth and count and actual object long measure; Carry out the accuracy compensation of the linearity.

10. according to claim 1 to one of 6 described band flanging part turriform detection systems, it is characterized in that:

The emission angle in linear laser source and the shooting angle of image acquisition unit are fixed values;

When the distance of laser sensor and target object changed, corresponding variation also occured in the image point position on the light-sensitive detector, calculated the variation of height according to the triangular relationship of image, had namely measured the variation of height.

11. the described detection method with flanging part object turriform detection system of claim 1 is characterized in that described detection method comprises the steps:

Step S1, linear laser source form the hot spot point to the surface irradiation of object band flanging part;

Step S2, image acquisition unit are relative fixing with the position in described linear laser source; Reflected light produces picture point through the lens on this image acquisition unit at light-sensitive detector, and image acquisition unit obtains the picture point image;

The picture point image that step S3, graphics processing unit obtain described image acquisition unit carries out image to be processed, in the intercepting picture point image with the image in flanging part zone, truncated picture is processed, so that the picture point of linear laser source irradiation is setpoint color, each picture point forms a picture point curve, and the regional color of all the other of image is different with the color of the picture point that the linear laser source is shone;

Step S4, picture point Curve transform unit are the method for setpoint color picture point by color in all picture point that travel through whole Image Acquisition, and the coordinate position that represents each picture point of curve in the image is come out; Curve with the representative of setpoint color picture point pixel comes the digital simulation straight line, and calculates each picture point from the distance of this straight line;

Whether step S5, quality judging unit be qualified from the Distance Judgment object limit section turriform quality of this straight line according to each picture point that described picture point Curve transform unit calculates.

12. detection method according to claim 11 is characterized in that:

Among the described step S5, the determination methods of quality judging unit comprises: invest the standard component that depression is arranged on the winding limit during according to shooting, its known depression is the N millimeter, and the difference of height of the winding of wanting to ask is made as the M millimeter; Form the mirror image of n pixel in the focal plane according to the image of N millimeter in the index path of lens; In the described index path, constant by the light path of photocentre, the light of other points of process converges the 2f focal plane imaging through overfocus f;

Obtain one group of similar triangles according to identical, the remaining right angle of vertical angle is also identical; There is N/depth=n/2f to set up;

In like manner the winding difference of height M/depth=m/2f in same image namely has N/n=M/m; Wherein, depth is the depth of field, and f is focal length;

M＝N*m/n；

Thereby the concavo-convex standard component of known N millimeter and just can calculate M millimeter with the flanging part position by the n pixel of calculating in the picture point Curve transform unit and m pixel;

Perhaps, the determination methods of described quality judging unit comprises: the radius with the in-site measurement winding is compared as benchmark, thereby draws the M millimeter with the flanging part position, and this moment, shooting angle remained 45° angle, made laterally with long measure is identical longitudinally.

13. detection method according to claim 11 is characterized in that:

Among the described step S3, the image processing step of graphics processing unit comprises:

The brightness transition step is obtained various suitable brightness, contrast, exponential transform Gamma and is carried out conversion process;

The gray processing step, the gray scale of color variable black and white 256 color ranges;

The binaryzation step is chosen best threshold value, image conversion is become to only have the image on black and white 2 rank;

Anti-phase step, all black rank images become white rank image, and white rank image becomes black rank image;

The morphology operations expansion step makes the image curve bridge joint;

The morphology operations corrosion step carries out picture noise filtering;

Topological structure thinning processing step, it is unique that namely Skeleton makes image value on the Y coordinate axis.

14. detection method according to claim 13 is characterized in that:

Among the described step S4, picture point Curve transform unit travels through all picture point and the picture point of black is selected, and X-axis coordinate position, the Y-axis coordinate position of statistics black image point;

Carry out least square method with the curve after the refinement and come fitting a straight line, and calculate each point from distance and the dispersion of straight line, and with removing from straight line farthest or setting a plurality of picture point, again use least square method digital simulation straight line, until the number of times of digital simulation straight line reaches set point number; Progressively to approach the optimal straight line equation, the accurate Calculation each point is from the distance of the tropic; And the data that calculate are sent in the electrical form.

15. detection method according to claim 14 is characterized in that:

Among the described step S4, as follows by the method for least square fitting straight line:

The point that experiment is discrete is looked for straight line: y=a ₀+ a ₁X;

Make this straight line and testing site nearest, that is: $Q=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{[y_i-(a_0+a_1{x}_i)]}^2;$

This straight line satisfies: $\left\{\begin{array}{c}\frac{\∂Q}{\∂a_0}=0\\ \frac{\∂Q}{\∂a_1}=0\end{array}\right.;$

Represent namely with discrete mathematics: $\left\{\begin{array}{c}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}(y_i-a_0-a_1{x}_i)=0\\ \underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i(y_i-a_0-a_1{x}_i)=0\end{array}\right.;$

Solving this canonical equation obtains: $\left.\begin{array}{c}{a}_0=(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i-a1\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i)/n\\ a_1=\frac{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i{y}_i-\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{y}_i\right)}{n\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i^2-{\left(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{x}_i\right)}^2}\end{array}\right\}.$

16. detection method according to claim 11 is characterized in that:

Described linear laser source is single linear pattern LASER Light Source, fixedly shines perpendicular to object band flanging part;

Described image acquisition unit is digital camera or Digital Video, and when taking and the surface of made thing body band flanging part is the oblique shooting of 45° angle;

17. detection method according to claim 11 is characterized in that:

Described image acquisition unit is when taking, and the standard component of use known depth is attached to the winding limit and takes with object, calculates converted image with known standard depth and counts and actual object long measure.

18. detection method according to claim 11 is characterized in that:

Place respectively the standard component of known depth at the two ends of subject, take with object, calculate converted image with known standard depth and count and actual object long measure; Carry out the accuracy compensation of the linearity.

19. detection method according to claim 11 is characterized in that:

The emission angle in linear laser source and the shooting angle of image acquisition unit are fixed values;

When the distance of laser sensor and target object changed, corresponding variation also occured in the image point position on the light-sensitive detector, calculated the variation of height according to the triangular relationship of image, had namely measured the variation of height.

20. a band flanging part object turriform detection system is characterized in that, described system comprises:

The linear laser source in order to the surface irradiation to object band flanging part, forms the hot spot point;

Image acquisition unit, relative fixing with the position in described linear laser source; Reflected light produces picture point through the lens on this image acquisition unit at light-sensitive detector, and image acquisition unit obtains the picture point image;

Graphics processing unit, the picture point image that described image acquisition unit is obtained carries out the image processing, in the intercepting picture point image with the image in flanging part zone, truncated picture is processed, so that the picture point of linear laser source irradiation is black, each picture point forms a picture point curve, and all the other zones are not black;

Picture point Curve transform unit, the method by stain in all images that travel through whole Image Acquisition comes out the coordinate position that represents each stain of curve in the image; Curve with the representative of stain pixel comes the digital simulation straight line, and calculates each picture point from the distance of this straight line;

Whether the quality judging unit is qualified from the Distance Judgment object limit section turriform quality of this straight line in order to each picture point that calculates according to described picture point Curve transform unit.

Images