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CN108573489B - Hurdle Integrity Testing Platform - Google Patents

Hurdle Integrity Testing Platform Download PDF

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Publication number
CN108573489B
CN108573489B CN201810363854.4A CN201810363854A CN108573489B CN 108573489 B CN108573489 B CN 108573489B CN 201810363854 A CN201810363854 A CN 201810363854A CN 108573489 B CN108573489 B CN 108573489B
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image
hurdling
situ match
pixel
receiving
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CN108573489A (en
Inventor
杨娟
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Zhejiang Zhiduo Network Technology Co ltd
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Hangzhou Zhitang Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/90Determination of colour characteristics
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80Camera processing pipelines; Components thereof

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  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
  • Image Analysis (AREA)

Abstract

It hurdles integrity degree detection platform the present invention relates to one kind, comprising: hand control switch, under the operation of in-situ match staff, it is determined whether starting is hurdled integrity degree detection, is detected enabling signal with corresponding sendings or is detected shutdown signal;Status display lamp group, lamp is fed back including a detecting state lamp and a result, the detecting state lamp is connect with the hand control switch, for being shown with red light when receiving the detection enabling signal, it is also used to when receiving the detection shutdown signal, shown with green light, result feedback lamp be used for receive hurdle complete signal when, shown with green light, be also used to receive hurdle flaw indication when, shown with red light.Through the invention, to image recognition to each equipment integrity degree hurdled carry out on-site test.

Description

It hurdles integrity degree detection platform
Technical field
It hurdles integrity degree detection platform the present invention relates to sports equipment field more particularly to one kind.
Background technique
The column frame that hurdle race uses earliest is the timbering or fence buried on the ground, occurs within 1900 movably falling T-shaped column frame.T shape column frame is changed at L-shaped column frame by nineteen thirty-five someone, and the other end orientation movements person's of L shape column frame stabilizer blade runs into Direction, slightly resistance can tip forwards, alleviate feared state of mind when sportsman crosses column.
Olympic Sports Programme divides man's 110m hurdles, 400m hurdles (being included in for 1896);Women's 100-metre hurdles It runs and (is included within 1932, was at that time 80 meters of hurdle races, be changed within 1972 100m hurdles race), 400m hurdles (arrange for 1984 Enter).A height of 106 centimetres of the column of man's 110m hurdles, a height of 91.4 centimetres of the column of 400m hurdles;Women's 100-metre hurdles A height of 84 centimetres of the column of race, a height of 76.2 centimetres of the column of 400m hurdles.When match, sportsman must cross over 10 column framves, remove It is deliberately kicked down outside column frame with hand push or with foot, other positions of body, which are knocked down a hurdle, does not make illegal.
Currently, before hurdle race progress, manual type is needed to go to check each hurdle race apparatus one by one to scene Equipment situation, such as integrity degree etc., to avoid the fairness for influencing match, it is clear that this manual inspection mode is time-consuming and laborious.
Summary of the invention
To solve the above-mentioned problems, it hurdles integrity degree detection platform the present invention provides one kind, it can be using showing as height The surround function of this convolution function removes the luminance component in image to be processed, and by the way of linear gradation transformation, mentions The contrast of hi-vision, so that the precision of image recognition is improved, more it is essential that realizing using electronically replacement manual type Detection to each equipment integrity degree of hurdling.
For this purpose, the present invention has following key inventive point:
(1) on the basis of using high-precision image recognition, the equipment integrity degree hurdled to each recognized into Row on-site test improves the efficiency of life match to reduce artificial detection environment;
(2) luminance component in image to be processed is removed using the surround function for showing as Gaussian convolution function, to obtain The corresponding reflecting component of the image to be processed, so that image is imaged in the medium removed in imaging circumstances in light passage path Interference;
(3) by the way of linear gradation transformation, the contrast of image is improved, providing for subsequent image procossing more has ginseng Examine the image data of meaning.
According to an aspect of the present invention, it provides one kind to hurdle integrity degree detection platform, the platform includes:
Hand control switch, under the operation of in-situ match staff, it is determined whether start integrity degree inspection of hurdling It surveys, enabling signal or detection shutdown signal is detected with corresponding sending;
Status display lamp group, including a detecting state lamp and result feed back lamp, the detecting state lamp with it is described Hand control switch connection, for being shown with red light when receiving the detection enabling signal, is also used to receiving It when to the detection shutdown signal, is shown with green light, the result feedback lamp is for receiving complete signal of hurdling When, shown with green light, be also used to receive hurdle flaw indication when, shown with red light;
High-definition camera is suspended on the oblique upper of in-situ match, for carrying out the acquisition of high-definition image data to in-situ match, To obtain in-situ match image, and export the in-situ match image;
Reference picture obtains equipment, connect with the high-definition camera, will be described for receiving the in-situ match image The pixel value of each of in-situ match image pixel obtains the reference pixel value of corresponding pixel points multiplied by surround function, The reference pixel value of each pixel of the in-situ match image is formed into the corresponding reference picture of the in-situ match image, And export the reference picture;
Illumination eliminating equipment, for receiving the in-situ match image and the reference picture, by the in-situ match figure The pixel value of each pixel of picture obtains corresponding anti-divided by the pixel value of corresponding pixel points in the reference picture Pixel value is penetrated, it is corresponding that the reflective pixel value of all pixels point of the in-situ match image is formed the in-situ match image Reflected image, and export the reflected image;
Linear processing devices are connect with the illumination eliminating equipment, for receiving the reflected image, to the reflectogram As executing linear gradation transformation, the linear gradation transformation includes: by the institute in the reflected image former ash degree distribution The gray value for stating each pixel in reflected image is mapped in default tonal range, corresponding to obtain each pixel Gray value is mapped, the corresponding linear process figure of the reflected image is obtained based on the corresponding mapping gray value of each pixel Picture.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is according to the structural representation hurdled applied by integrity degree detection platform of hurdling shown in embodiment of the present invention Figure.
Fig. 2 is the structural representation according to the high-definition camera of the integrity degree detection platform of hurdling shown in embodiment of the present invention Figure.
Specific embodiment
The embodiment of integrity degree detection platform of hurdling of the invention is described in detail below with reference to accompanying drawings.
Integrity degree in the prior art of hurdling detects the manual operation for the site administrator that places one's entire reliance upon, cumbersome and effect It is bad.In order to overcome above-mentioned deficiency, the present invention has built one kind and has hurdled integrity degree detection platform, using electronically hurdling Integrity degree detection.
Fig. 1 is according to the structural representation hurdled applied by integrity degree detection platform of hurdling shown in embodiment of the present invention Figure.Described to hurdle including two vertical bars between cross bar 1, pedestal 3 and cross bar 1 and pedestal 3, described hurdle further includes cross bar 1 Connecting portion 2 between vertical bar.
The integrity degree detection platform of hurdling shown according to an embodiment of the present invention includes:
Hand control switch, under the operation of in-situ match staff, it is determined whether start integrity degree inspection of hurdling It surveys, enabling signal or detection shutdown signal is detected with corresponding sending;
Status display lamp group, including a detecting state lamp and result feed back lamp, the detecting state lamp with it is described Hand control switch connection, for being shown with red light when receiving the detection enabling signal, is also used to receiving It when to the detection shutdown signal, is shown with green light, the result feedback lamp is for receiving complete signal of hurdling When, shown with green light, be also used to receive hurdle flaw indication when, shown with red light;
High-definition camera, as shown in Fig. 2, the oblique upper of in-situ match is suspended on, for carrying out high definition figure to in-situ match As data acquisition, to obtain in-situ match image, and the in-situ match image is exported;Wherein, the high-definition camera includes Lens barrel 210, the interior telescopic lens group 110 and camera lens for meeting zoom lens rule at least provided with two groups of relative motions of lens barrel 111 are organized, the relative motion (belonged between the lens of the lens group) between the lens in lens group 110 also complies with zoom lens Rule;The lower end (may be designed as pedestal shape) of the one side of retractable lens group and the lens barrel 210 formed a cavity 440 ( Cavity can be set between two lens groups, between lens group 111 and lens group 112), the side wall of cavity 440 is provided with one Cavity 440, is connected by through-hole 430 (can also the aperture between barrel, be not shown in figure) by through-hole 430 with air pump, The first valve 410 can be set between through-hole 430 and air pump, using air pump cavity is inflated or is evacuated to push retractable lens Group is stretched.Contact surface between retractable lens group lens barrel can be the surface with pre-set frictional force, exist in this way After air pump stops working, telescopic lens cone can be made to carry out positioning and fixing using the frictional force of two walls.
Air pump can further comprise an air-pump 510, and the side on air-pump close to the first valve 410 is provided with second Valve 420 is provided with the relatively-movable magnet 520 to match with air-pump inner wall in air-pump, is wound with outside air-pump Hot-wire coil 530, hot-wire coil both ends are connected to control module 610.
Reference picture obtains equipment, connect with the high-definition camera, will be described for receiving the in-situ match image The pixel value of each of in-situ match image pixel obtains the reference pixel value of corresponding pixel points multiplied by surround function, The reference pixel value of each pixel of the in-situ match image is formed into the corresponding reference picture of the in-situ match image, And export the reference picture;
Illumination eliminating equipment, for receiving the in-situ match image and the reference picture, by the in-situ match figure The pixel value of each pixel of picture obtains corresponding anti-divided by the pixel value of corresponding pixel points in the reference picture Pixel value is penetrated, it is corresponding that the reflective pixel value of all pixels point of the in-situ match image is formed the in-situ match image Reflected image, and export the reflected image;
Linear processing devices are connect with the illumination eliminating equipment, for receiving the reflected image, to the reflectogram As executing linear gradation transformation, the linear gradation transformation includes: by the institute in the reflected image former ash degree distribution The gray value for stating each pixel in reflected image is mapped in default tonal range, corresponding to obtain each pixel Gray value is mapped, the corresponding linear process figure of the reflected image is obtained based on the corresponding mapping gray value of each pixel Picture;
Data storage device is arranged in the control room of in-situ match, characteristics of image and hurdles for being stored in advance to hurdle Baseline profile;
Hurdle and identify equipment, connect, be arranged in the control room of in-situ match with the linear processing devices, respectively with institute It states linear processing devices to connect with the data storage device, for receiving the linear process image and the image spy that hurdles Sign, and multiple regions of hurdling are matched from the linear process image according to the characteristics of image of hurdling;
Integrity degree detection device, is arranged in the control room of in-situ match, respectively with the data storage device and described It hurdles and identifies that equipment connects, for receiving the multiple region of hurdling, each region of hurdling is carried out based on the base of hurdling The matching of quasi- profile is above pre- in all integrity degrees for hurdling the component of hurdling in region with the integrity degree of determining component of hurdling If issuing complete signal of hurdling when percentage threshold, otherwise, flaw indication of hurdling is issued.
Then, continue that the specific structure of integrity degree detection platform of hurdling of the invention is further detailed.
In the integrity degree detection platform of hurdling:
The high-definition camera is connect with the hand control switch, for when receiving the detection enabling signal, Start the acquisition of high-definition image data, is also used to receiving the detection shutdown signal, closes the acquisition of high-definition image data.
In the integrity degree detection platform of hurdling:
The surround function is using the horizontal coordinate of corresponding pixel points and vertical coordinate as the Gaussian convolution function of variable.
In the integrity degree detection platform of hurdling:
The default tonal range includes the reflected image former ash degree distribution and is wider than the reflected image former ash Distribution is spent, so that the contrast of the linear process image is greater than the contrast of the reflected image.
In the integrity degree detection platform of hurdling:
Described hurdle identifies that equipment and the integrity degree detection device are all integrated on same integrated circuit board.
In the integrity degree detection platform of hurdling:
On the indoor control panel of control that in-situ match is arranged in the status display lamp group.
Can also include: in the integrity degree detection platform of hurdling
Voice playing equipment is connect with the integrity degree detection device, for receive it is described hurdle flaw indication when, Play phonetic warning file corresponding with the flaw indication of hurdling.
And in the integrity degree detection platform of hurdling:
The voice playing equipment is arranged on the indoor control panel of control of in-situ match, and it is aobvious to be located at the state Show the side of lamp group.
In addition, the high-definition camera further includes data filtering unit and data outputting unit, the data filtering unit Before the data outputting unit exports the in-situ match image, filtering processing is executed to the in-situ match image.Institute The image filtering for stating the execution of data filtering unit is described in detail below.
Image filtering inhibits the noise of target image under conditions of retaining image minutia as far as possible, is Indispensable operation in image preprocessing, treatment effect quality will directly influence subsequent image processing and analysis have Effect property and reliability.
Not perfect due to imaging system, transmission medium and recording equipment etc., digital picture formed at it, transmission log mistake The often pollution by a variety of noises in journey.In addition, certain links in image procossing when the picture object inputted and are not so good as pre- Also noise can be introduced when thinking in result images.These noises often show as one on the image and cause the isolated of stronger visual effect Pixel or block of pixels.Generally, noise signal it is uncorrelated to the object to be studied it occur with useless message form, upset figure The observable information of picture.For data image signal, psophometer is either large or small extreme value, these extreme values are acted on by plus-minus On the true gray value of image pixel, cause bright, dim spot to interfere image, greatly reduce picture quality, influence image restoration, The progress of the subsequent work such as segmentation, feature extraction, image recognition.The filter for constructing a kind of effectively inhibition noise must be taken into consideration Two basic problems: the noise that can be effectively removed in target and background;Meanwhile can protect well image object shape, Size and specific geometry and topological features.
One of common image filtering mode is nonlinear filter, it is, in general, that when signal spectrum and noise frequency When composing aliasing or such as the noise as caused by mission nonlinear or there are non-gaussian to make an uproar when containing nonadditivity noise in signal Sound etc.), traditional linear filter technology, if Fourier converts, while filtering out noise, always blurred picture is thin in some way Section (such as edge) and then the extraction property reduction for leading to the positioning accuracy and feature as linear character.And nonlinear filter is Based on a kind of Nonlinear Mapping relationship to input signal, often a certain specific noise approximatively can be mapped as zero and retained Signal wants feature, thus it can overcome the shortcoming of linear filter to a certain extent.
Using integrity degree detection platform of hurdling of the invention, for hurdling in the prior art, device context detection is excessively relied on Artificial technical problem, introduces the electronic testing mechanism at scene, the equipment integrity degree hurdled to each recognized into Row on-site test, particular, it is important that additionally using the surround function removal for showing as Gaussian convolution function in identification process Luminance component in image to be processed, to obtain the corresponding reflecting component of the image to be processed, to remove in imaging circumstances The interference that image is imaged in medium in light passage path, and by the way of linear gradation transformation, improve image Contrast provides the image data for more having reference significance for subsequent image procossing.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention, Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection It is interior.

Claims (3)

  1. The integrity degree detection platform 1. one kind is hurdled, the platform include:
    Hand control switch, under the operation of in-situ match staff, it is determined whether start integrity degree detection of hurdling, with It is corresponding to issue detection enabling signal or detection shutdown signal;
    Status display lamp group, including a detecting state lamp and result feed back lamp, the detecting state lamp and it is described manually Control switch connection, for being shown, being also used to receiving with red light when receiving the detection enabling signal When stating detection shutdown signal, shown with green light, result feedback lamp be used for receive hurdle complete signal when, with Green light shown, be also used to receive hurdle flaw indication when, shown with red light;
    High-definition camera is suspended on the oblique upper of in-situ match, for carrying out the acquisition of high-definition image data to in-situ match, to obtain In-situ match image is obtained, and exports the in-situ match image;
    Reference picture obtains equipment, connect with the high-definition camera, for receiving the in-situ match image, by the match The pixel value of each of live image pixel obtains the reference pixel value of corresponding pixel points multiplied by surround function, by institute The reference pixel value for stating each pixel of in-situ match image forms the corresponding reference picture of the in-situ match image, and defeated The reference picture out;
    Illumination eliminating equipment, for receiving the in-situ match image and the reference picture, by the in-situ match image The pixel value of each pixel obtains corresponding reflection image divided by the pixel value of corresponding pixel points in the reference picture The reflective pixel value of all pixels point of the in-situ match image is formed the corresponding reflection of the in-situ match image by element value Image, and export the reflected image;
    Linear processing devices are connect with the illumination eliminating equipment, for receiving the reflected image, are held to the reflected image Line greyscale transformation, the linear gradation transformation includes: will be described anti-in the reflected image former ash degree distribution The gray value for penetrating each pixel in image is mapped in default tonal range, to obtain the corresponding mapping of each pixel Gray value obtains the corresponding linear process image of the reflected image based on the corresponding mapping gray value of each pixel;
    Data storage device is arranged in the control room of in-situ match, for hurdle characteristics of image and benchmark of hurdling to be stored in advance Profile;
    Hurdle and identify equipment, connect, be arranged in the control room of in-situ match with the linear processing devices, respectively with the line Property processing equipment is connected with the data storage device, for receiving the linear process image and the characteristics of image of hurdling, And multiple regions of hurdling are matched from the linear process image according to the characteristics of image of hurdling;
    Integrity degree detection device, is arranged in the control room of in-situ match, respectively with the data storage device and described hurdle It identifies equipment connection, for receiving the multiple region of hurdling, each region of hurdling is carried out based on the reference wheel of hurdling Wide matching is with the integrity degree of determining component of hurdling, in all integrity degrees for hurdling the component of hurdling in region above default hundred When dividing than threshold value, complete signal of hurdling is issued, otherwise, issues flaw indication of hurdling;
    The high-definition camera is connect with the hand control switch, for starting when receiving the detection enabling signal The acquisition of high-definition image data is also used to receiving the detection shutdown signal, closes the acquisition of high-definition image data;
    The surround function is using the horizontal coordinate of corresponding pixel points and vertical coordinate as the Gaussian convolution function of variable;
    The default tonal range includes the reflected image former ash degree distribution and is wider than the reflected image former ash degree point Cloth range, so that the contrast of the linear process image is greater than the contrast of the reflected image.
  2. 2. integrity degree detection platform of hurdling as described in claim 1, it is characterised in that:
    Described hurdle identifies that equipment and the integrity degree detection device are all integrated on same integrated circuit board.
  3. 3. integrity degree detection platform of hurdling as claimed in claim 2, it is characterised in that:
    On the indoor control panel of control that in-situ match is arranged in the status display lamp group.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1272666A (en) * 2000-06-09 2000-11-08 清华大学 Automatic testing system for driver pile examination process based on image sequence analysis
CN104516352A (en) * 2015-01-25 2015-04-15 无锡桑尼安科技有限公司 Robot system for detecting rectangular target
CN104614702A (en) * 2015-03-08 2015-05-13 无锡桑尼安科技有限公司 Intelligent detection method for defects of ammeter
CN206391417U (en) * 2016-12-22 2017-08-11 陕西铁路工程职业技术学院 A kind of device of anti-hurdle race when hurdling
CN107076677A (en) * 2014-09-29 2017-08-18 株式会社斯库林集团 Check device and inspection method
CN107782733A (en) * 2017-09-30 2018-03-09 中国船舶重工集团公司第七〇九研究所 Image recognition the cannot-harm-detection device and method of cracks of metal surface

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103344563B (en) * 2013-06-07 2015-07-29 上海大学 A kind of self-adaptation toning light modulation machine vision light source pick-up unit and method
CN204347612U (en) * 2015-01-25 2015-05-20 无锡桑尼安科技有限公司 For the robot system that rectangular target detects
CN105911508B (en) * 2015-03-08 2018-06-26 内蒙古云谷电力科技股份有限公司 Ammeter defect Intelligent testing equipment
CN205031903U (en) * 2015-10-09 2016-02-17 石家庄职业技术学院 Sports training education is with frame of hurdling
CN107578649A (en) * 2017-09-06 2018-01-12 合肥工业大学 An Intelligent Experimental Platform Based on Network Data Analysis

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1272666A (en) * 2000-06-09 2000-11-08 清华大学 Automatic testing system for driver pile examination process based on image sequence analysis
CN107076677A (en) * 2014-09-29 2017-08-18 株式会社斯库林集团 Check device and inspection method
CN104516352A (en) * 2015-01-25 2015-04-15 无锡桑尼安科技有限公司 Robot system for detecting rectangular target
CN104614702A (en) * 2015-03-08 2015-05-13 无锡桑尼安科技有限公司 Intelligent detection method for defects of ammeter
CN206391417U (en) * 2016-12-22 2017-08-11 陕西铁路工程职业技术学院 A kind of device of anti-hurdle race when hurdling
CN107782733A (en) * 2017-09-30 2018-03-09 中国船舶重工集团公司第七〇九研究所 Image recognition the cannot-harm-detection device and method of cracks of metal surface

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
"基于机器视觉的铸坯表面缺陷检测算法研究";杨娟;《中国优秀硕士学位论文全文数据库 信息科技辑》;20140615;期刊第I138-805页

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