CN105931188A - Method for image stitching based on mean value duplication removal - Google Patents
Method for image stitching based on mean value duplication removal Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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Abstract
The invention discloses a method for image stitching based on mean value duplication removal. The method comprises the following steps: firstly respectively separating a first overlapped image and a second overlapped image from a first image and a second image, thus separately conducting mean value processing on the first overlapped image and the second overlapped image, which reduces image processing work compared to direct processing of the first image and the second image and is conducive to increasing image processing efficiency. According to the invention, the mean images obtained after the processing of the first overlapped image and the second overlapped image are intended for covering a stitched image between the first image and the second image through the stitching of mutual covering of the overlapped parts, so that a first feature image and a second feature image undergo transition stitching through the mean value images, which avoids pixel hopping caused by direct stitching with no transition of the stitched image of the first feature image and the second feature image.
Description
Technical field
The present invention relates to technical field of image processing, particularly relate to a kind of image mosaic side based on average duplicate removal
Method.
Background technology
Image procossing is all requisite technological means in intelligent monitoring, image recognition, video playback,
An important branch in image procossing is image mosaic.Such as, in video playback or video monitoring,
The video image obtained is shot from different perspectives by multiple photographic head often, in order to reappear real scene,
Different photographic head must be obtained image to carry out splicing to ensure the integrity that scene is reappeared.
Owing to the angle of different photographic head shootings is different, it obtains picture is to repeat also due to light in time
The factors such as line cause the difference on pixel value.If two width to be had the figure that the i.e. image of picture that partly overlaps has a common boundary
It is stitched together simply as overlapping according to juncture area, is easily caused pixel value jumping characteristic big, causes image
The lofty property saltus step that vision is viewed and admired, affect that video pictures views and admires is comfortable.
Summary of the invention
The technical problem existed based on background technology, the present invention proposes a kind of image based on average duplicate removal and spells
Connect method.
A kind of based on average duplicate removal the image split-joint method that the present invention proposes, comprises the following steps:
S1, obtain the first image and the second image, and from the first image and the second image, be partitioned into phase respectively
Overlapping part is as the first overlay chart picture and the second overlay chart picture；
S2, the first image and the second image are respectively mapped in the original coordinate system preset generate the first pixel
Coordinates regional and the second pixel coordinate region；
S3, in the first image and the second image, choose multiple corresponding image characteristic point, image characteristic point with
Time be present in the first overlay chart picture and the second overlay chart picture, according to image characteristic point in the first pixel coordinate district
The second pixel coordinate region is moved in relative coordinate position in territory and the second pixel coordinate region, and the second pixel is sat
That marks the corresponding second overlay chart picture in region is partially covered on the corresponding first overlay chart picture in the first pixel coordinate region
The top of part；
S4, set up respectively according to the first overlay chart picture and the second overlay chart picture the first overlapping image pixel coordinates and
Second overlapping image pixel coordinates, and to the first overlapping image pixel coordinates and the second overlapping image pixel coordinates
The pixel of middle correspondence asks for average, and sets up average image pixel coordinates；
S5, pixel each in average image pixel coordinates is projected in original coordinate system and covers corresponding
The top of pixel, it is thus achieved that stitching image pixel coordinate, generate according to the reduction of stitching image pixel coordinate and spell
Map interlinking picture.
Preferably, the image characteristic point number chosen in step S3 is 2.
Preferably, in step S1, the first overlay chart picture and the second overlay chart picture extract the first border respectively
Line and the second boundary line, the first boundary line is the boundary line of the first overlay chart picture and fisrt feature image, the second limit
Boundary line is the boundary line of the second overlay chart picture and second feature image, and fisrt feature image is the first image segmentation the
The remainder of one overlay chart picture, second feature image is the remainder that the second image splits the second overlay chart picture
Point；In step S5, it is thus achieved that after stitching image pixel coordinate, to the picture on the first boundary line and the second boundary line
Vegetarian refreshments pixel value is updated, and on the first boundary line, each pixel pixel value is updated to this pixel and its phase
The pixel average of the pixel of adjacent predetermined threshold value columns, on the second boundary line, each pixel pixel value is updated to this
The pixel average of the pixel of pixel and its adjacent default columns.
Preferably, predetermined threshold value is 1 to 3.
Preferably, step S6 is also included: be sharpened after the stitching image obtained is carried out Fuzzy Processing again.
A kind of based on average duplicate removal the image split-joint method that the present invention proposes, first by the first overlay chart picture and
Second overlay chart picture is separated respectively from the first image and the second image, so, individually for the first weight
Folded image and the second overlay chart picture carry out average value processing, compared to directly carrying out the first image and the second image
Process, decrease image processing work, be conducive to improving image processing efficiency.
In the present invention, the first overlay chart picture and the second overlay chart are covered as the average image after average value processing
Mutually cover on the stitching image carrying out the first image and the second image spliced by lap, so,
Fisrt feature image and second feature image be connected by average image transition, it is to avoid in stitching image first
The pixel jump that characteristic image and second feature image cause without transition direct splicing, improves stitching image
Smoothness.
In the present invention, by converting images into pixel coordinate, thus image procossing is converted to pixel
Process so that image procossing more has as changing, be conducive to improving image procossing precision and efficiency.
Accompanying drawing explanation
Fig. 1 is a kind of based on average duplicate removal the image split-joint method flow chart that the present invention proposes.
Detailed description of the invention
With reference to Fig. 1, a kind of based on average duplicate removal the image split-joint method that the present invention proposes, comprise the following steps.
S1, obtain the first image and the second image, and from the first image and the second image, be partitioned into phase respectively
Overlapping part is as the first overlay chart picture and the second overlay chart picture.In the first overlay chart picture and the second overlay chart
Extracting the first boundary line and the second boundary line respectively as upper, the first boundary line is the first overlay chart picture and the first spy
Levying the boundary line of image, the second boundary line is the boundary line of the second overlay chart picture and second feature image, fisrt feature
Image is the remainder that the first image splits the first overlay chart picture, and second feature image is the second image segmentation
The remainder of the second overlay chart picture.
In this step, the first overlay chart picture and the second overlay chart picture are individually split, follow-up can be for
One overlay chart picture and the second overlay chart picture process, compared to directly carrying out the first image and the second image
Process, decrease image processing work, be conducive to improving image processing efficiency.
S2, the first image and the second image are respectively mapped in the original coordinate system preset generate the first pixel
Coordinates regional and the second pixel coordinate region.So, pixel coordinate is converted the image into so that image procossing
More have as changing.
S3, the first image and the second image are chosen multiple corresponding image characteristic point specifically may select 2
Individual image characteristic point, image characteristic point is concurrently present in the first overlay chart picture and the second overlay chart picture, according to
Image characteristic point relative coordinate position in the first pixel coordinate region and the second pixel coordinate region moves
Two pixel coordinate regions, the second corresponding second overlay chart picture in pixel coordinate region be partially covered on the first pixel
The top of corresponding first overlapping images portions of coordinates regional.
In this step, select two characteristic points, it is ensured that the first image and the smooth split of the second image, again may be used
Characteristic point is avoided to interfere too much.
This step is particularly as follows: choose image characteristic point A1 in corresponding first overlapping image region of the first image
(X11,Y11) and B1 (X12,Y12), and choose image characteristic point A2 in corresponding second overlapping image region of the second image
(X21,Y21) and B2 (X22,Y22), A2 with A1 is corresponding, B2 with B1 is corresponding；Calculate and obtain the second picture displacement arrow
Amount (X21-X11,Y21-Y11) and (X22-X12,Y22-Y12)；Judge whether to meet
X21-X11=X22-X12And Y21-Y11=Y22-Y12, if it is satisfied, then according to vector (X21-X11,Y21-Y11) mobile the
Two pixel coordinate regions；If be unsatisfactory for, then reselect image characteristic point, until meeting
X21-X11=X22-X12And Y21-Y11=Y22-Y12, then carry out displacement.
S4, set up respectively according to the first overlay chart picture and the second overlay chart picture the first overlapping image pixel coordinates and
Second overlapping image pixel coordinates, and to the first overlapping image pixel coordinates and the second overlapping image pixel coordinates
The pixel of middle correspondence asks for average, and sets up average image pixel coordinates.
S5, pixel each in average image pixel coordinates is projected in original coordinate system and covers corresponding
The top of pixel, it is thus achieved that stitching image pixel coordinate, then on the first boundary line and the second boundary line
Pixel pixel value be updated, on the first boundary line each pixel pixel value be updated to this pixel and
The pixel average of the pixel of its adjacent predetermined threshold value columns, on the second boundary line, each pixel pixel value updates
For this pixel and the pixel average of the pixel of its adjacent default columns；According to the stitching image after updating
Pixel coordinate reduction generates stitching image.
In present embodiment, the first overlay chart picture and the second overlay chart picture are carried out average value processing, so, can
Avoid the pixel jump that in stitching image, the first image and the second image cause without transition direct splicing, improve
The smoothness of stitching image.
In this step, further the first boundary line and the second boundary line are carried out average value processing, improve further
Image lap and fisrt feature image and the smooth nature of second feature image transition after average value processing,
Improve quality and the appreciation effect of image mosaic.
In this step, predetermined threshold value can be 1 to 3.In present embodiment, predetermined threshold value is 2, so:
T (x, y)=(T0(x, y) (x-1, y) (x-2, y) (x+1, y)+T (x+2, y))/5, wherein, (x is y) first to+T to+T to+T
Pixel on boundary line or the second boundary line, T0(x, y) be this pixel (x, y) update before pixel value,
T (x-1, y), T (x-2, y), T (x+1, y), T (x+2, y) be respectively pixel (x, y) left side first row (x-1, y)
Secondary series (x-2, y) and right side first row x+1, y) secondary series (x+2, the pixel value of pixel y), T (x, y)
For this pixel (x, the pixel value after y) updating.
Step S6: be sharpened again after the stitching image obtained is carried out Fuzzy Processing, spells with further raising
Connect the quality of rear image.
The above, the only present invention preferably detailed description of the invention, but protection scope of the present invention not office
Being limited to this, any those familiar with the art is in the technical scope that the invention discloses, according to this
The technical scheme of invention and inventive concept thereof in addition equivalent or change, all should contain the protection in the present invention
Within the scope of.
Claims (5)
1. an image split-joint method based on average duplicate removal, it is characterised in that comprise the following steps:
S1, obtain the first image and the second image, and from the first image and the second image, be partitioned into phase respectively
Overlapping part is as the first overlay chart picture and the second overlay chart picture；
S2, the first image and the second image are respectively mapped in the original coordinate system preset generate the first pixel
Coordinates regional and the second pixel coordinate region；
S3, in the first image and the second image, choose multiple corresponding image characteristic point, image characteristic point with
Time be present in the first overlay chart picture and the second overlay chart picture, according to image characteristic point in the first pixel coordinate district
The second pixel coordinate region is moved in relative coordinate position in territory and the second pixel coordinate region, and the second pixel is sat
That marks the corresponding second overlay chart picture in region is partially covered on the corresponding first overlay chart picture in the first pixel coordinate region
The top of part；
S4, set up respectively according to the first overlay chart picture and the second overlay chart picture the first overlapping image pixel coordinates and
Second overlapping image pixel coordinates, and to the first overlapping image pixel coordinates and the second overlapping image pixel coordinates
The pixel of middle correspondence asks for average, and sets up average image pixel coordinates；
S5, pixel each in average image pixel coordinates is projected in original coordinate system and covers corresponding
The top of pixel, it is thus achieved that stitching image pixel coordinate, generate according to the reduction of stitching image pixel coordinate and spell
Map interlinking picture.
2. image split-joint method based on average duplicate removal as claimed in claim 1, it is characterised in that step
The image characteristic point number chosen in S3 is 2.
3. image split-joint method based on average duplicate removal as claimed in claim 1, it is characterised in that step
In S1, the first overlay chart picture and the second overlay chart picture extract the first boundary line and the second boundary line respectively,
First boundary line is the boundary line of the first overlay chart picture and fisrt feature image, and the second boundary line is the second overlay chart
As the boundary line with second feature image, fisrt feature image is the residue that the first image splits the first overlay chart picture
Part, second feature image is the remainder that the second image splits the second overlay chart picture；In step S5, obtain
After obtaining stitching image pixel coordinate, the pixel pixel value on the first boundary line and the second boundary line is carried out more
Newly, on the first boundary line, each pixel pixel value is updated to this pixel and its adjacent predetermined threshold value columns
The pixel average of pixel, on the second boundary line, each pixel pixel value is updated to this pixel and it is adjacent
Preset the pixel average of the pixel of columns.
4. image split-joint method based on average duplicate removal as claimed in claim 3, it is characterised in that preset
Threshold value is 1 to 3.
5. the image split-joint method based on average duplicate removal as described in any one of Claims 1-4, its feature
It is, also includes step S6: be sharpened again after the stitching image obtained is carried out Fuzzy Processing.
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| CN108760766A (en) * | 2018-05-25 | 2018-11-06 | 哈尔滨工业大学 | A kind of image split-joint method of large-aperture optical plane of crystal microdefect detection |
| CN110365873A (en) * | 2018-03-26 | 2019-10-22 | 株式会社理光 | Image processing device, photographing system, and image processing method |
| CN110445974A (en) * | 2019-08-29 | 2019-11-12 | Oppo广东移动通信有限公司 | Imaging system, terminal and image acquisition method |
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| CN110505387A (en) * | 2019-08-29 | 2019-11-26 | Oppo广东移动通信有限公司 | Imaging system, terminal and image acquisition method |
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| CN110751595B (en) * | 2019-12-26 | 2020-05-01 | 北京航天宏图信息技术股份有限公司 | Automatic correction method and device for overlapped image, electronic equipment and storage medium |
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| CN115471403A (en) * | 2022-10-18 | 2022-12-13 | 如你所视(北京)科技有限公司 | Image processing method, device and storage medium |
| CN115471403B (en) * | 2022-10-18 | 2024-02-13 | 如你所视(北京)科技有限公司 | Image processing method, device and storage medium |
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| C06 | Publication | ||
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Application publication date: 20160907 |