CN110717902A - Processing method for displaying image edge - Google Patents
Processing method for displaying image edge Download PDFInfo
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- CN110717902A CN110717902A CN201910933070.5A CN201910933070A CN110717902A CN 110717902 A CN110717902 A CN 110717902A CN 201910933070 A CN201910933070 A CN 201910933070A CN 110717902 A CN110717902 A CN 110717902A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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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
- G06T2207/20—Special algorithmic details
- G06T2207/20048—Transform domain processing
- G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
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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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30121—CRT, LCD or plasma display
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
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Abstract
The invention is suitable for the field of image processing, and provides a processing method for displaying image edges, which comprises the following steps: determining a boundary line between a display area and a non-display area; extracting a display area image of a preset value adjacent to the boundary line, and mirroring the display area image to a non-display area by taking the boundary line as an axis; the continuous image processed in step S2; and (4) processing the images of the continuous images intercepted in the step (S3), judging whether the processed images are qualified, if the images are qualified, the products are qualified, and if the images are unqualified, the products are unqualified. The whole image is changed into a continuous image by mirroring part of the display area to the non-display area, and the condition that the detection of the display area is influenced due to sudden change of the image boundary can not occur after the FFT algorithm is carried out, so that the detection result is more accurate.
Description
Technical Field
The invention belongs to the field of image processing, and particularly relates to a processing method for displaying an image edge.
Background
The FFT (fast Fourier transform) algorithm is widely applied in the field of computer image processing, wherein one important application is to filter regularly and repeatedly appearing textures in an image and extract irregular image features. When it is checked whether an image displayed by one display device is defective, the image is clearly divided into an array display area and a non-display area. Inspection of the display area of the product array is an important item for product quality control. The FFT filtering of the image requires that the image must be continuous and regular throughout the filtering area, for example, the dot matrix area of the image appears continuously and regularly, but the boundary between the display area and the non-display area appears suddenly. The FFT filtering of such an image may cause a sharp jump at the boundary between the display area and the non-display area, which affects the detection of the display area.
Disclosure of Invention
The invention aims to provide a method for processing the edge of a display image, and aims to solve the problem that the subsequent product detection is influenced because the sudden change occurs after an FFT algorithm due to the discontinuity of the boundary image of a display area on a display device.
The invention is realized in such a way that a processing method for displaying image edges comprises the following steps:
s1: determining a boundary line between a display area and a non-display area;
s2: extracting a display area image of a preset value adjacent to the boundary line, and mirroring the display area image to a non-display area by taking the boundary line as an axis;
s3: intercepting the continuous image processed in the step S2;
s4: and (4) processing the images of the continuous images intercepted in the step (S3), judging whether the processed images are qualified, if the images are qualified, the products are qualified, and if the images are unqualified, the products are unqualified.
The further technical scheme of the invention is as follows: the step S1 includes the steps of:
s11: moving the center of the display area to the center of the image;
s12: and extracting the boundary of the display area, and fitting an approximate boundary straight line.
The further technical scheme of the invention is as follows: the step S11 includes the steps of:
S11A: positioning the center and the inclination angle of the display area through an image matching algorithm;
S11B: the center of the display area is moved to the image center by affine transformation.
The further technical scheme of the invention is as follows: the step S12 includes the steps of:
S12A: extracting the boundary of the display area through a boundary extraction algorithm;
S12B: and fitting a boundary straight line by using the inclination angle between the boundary and the display area and the curvature of the boundary.
The further technical scheme of the invention is as follows: the preset values in step S2 include a preset value width and a preset value height.
The further technical scheme of the invention is as follows: the step S2 includes the steps of:
s21: extracting a display area with a preset width on the right side of the left boundary, mirroring the display area to a non-display area on the left side of the left boundary straight line by taking the left boundary straight line as an axis, extracting a display area with a preset width on the left side of the right boundary, and mirroring the display area to a non-display area on the right side of the right boundary straight line by taking the right boundary straight line as an axis;
s22: and extracting a display area with preset width and height on the lower side of the upper boundary, taking the upper boundary straight line as an axis, mirroring the display area to the non-display area on the upper side of the upper boundary straight line, extracting a display area with preset height on the upper side of the lower boundary, taking the lower boundary straight line as an axis, and mirroring the display area to the non-display area on the lower side of the lower boundary straight line.
The further technical scheme of the invention is as follows: the preset value width is determined by the filtering parameters of the image processing in step S4 and the size of the lattice unit of the display area.
The further technical scheme of the invention is as follows: the step S21 and the step S22 may be interchanged in order.
The further technical scheme of the invention is as follows: the width of the continuous image cut out in the step S3 is the width of the display area plus two times the preset value width, and the height of the continuous image cut out in the step S3 is the height of the display area plus two times the preset value height.
The further technical scheme of the invention is as follows: the step S4 includes the steps of:
s41: performing time domain and frequency domain transformation on the image intercepted in the step S3, and converting the image into a frequency domain image;
s42: filtering the frequency domain image to filter out common frequencies;
s43: performing frequency domain and time domain transformation on the frequency domain image processed in the step S42 to convert the frequency domain image into a time domain image;
s44: denoising the time domain image, and intercepting a detection area according to the image size of the practical application equipment;
s45: if the image outside the detection area and the detection area is not defective, or the detection area is not defective, and the image outside the detection area is defective, the image processing is qualified, and the product is qualified; if the detection area is defective, the image processing is not qualified, and the product is not qualified.
The invention has the beneficial effects that: the whole image is changed into a continuous image by mirroring part of the display area to the non-display area, and the condition that the detection of the display area is influenced due to sudden change of the image boundary can not occur after the FFT algorithm is carried out, so that the detection result is more accurate.
Drawings
FIG. 1 is a general flow chart of the present invention;
FIG. 2 is a flowchart of step S1 of the present invention;
FIG. 3 is a flowchart of step S11 of the present invention;
FIG. 4 is a flowchart of step S12 of the present invention;
FIG. 5 is a flowchart of step S2 of the present invention;
fig. 6 is a flowchart of step S4 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be noted that the terms "front," "back," "left," "right," "upper" and "lower" used in the following description refer to directions in the drawings, and the terms "bottom" and "top," "inner" and "outer" refer to directions toward and away from, respectively, the geometric center of a particular component.
Fig. 1 illustrates a processing method for displaying an image edge according to the present invention, which includes the following steps:
s1: determining a boundary line between a display area and a non-display area;
s2: extracting a display area image of a preset value adjacent to the boundary line, and mirroring the display area image to a non-display area by taking the boundary line as an axis;
s3: intercepting the continuous image processed in the step S2;
s4: and (4) processing the images of the continuous images intercepted in the step (S3), judging whether the processed images are qualified, if the images are qualified, the products are qualified, and if the images are unqualified, the products are unqualified.
Preferably, the step S1 includes the steps of:
s11: moving the center of the display area to the center of the image;
s12: and extracting the boundary of the display area, and fitting an approximate boundary straight line.
Preferably, the step S11 includes the steps of:
S11A: positioning the center and the inclination angle of the display area through an image matching algorithm;
S11B: the center of the display area is moved to the image center by affine transformation.
Preferably, the step S12 includes the steps of:
S12A: extracting the boundary of the display area through a boundary extraction algorithm;
S12B: and fitting a boundary straight line by using the inclination angle between the boundary and the display area and the curvature of the boundary.
Preferably, the preset value in step S2 includes a preset value width and a preset value height.
Preferably, the step S2 includes the steps of:
s21: extracting a display area with a preset width on the right side of the left boundary, mirroring the display area to a non-display area on the left side of the left boundary straight line by taking the left boundary straight line as an axis, extracting a display area with a preset width on the left side of the right boundary, and mirroring the display area to a non-display area on the right side of the right boundary straight line by taking the right boundary straight line as an axis;
s22: and extracting a display area with preset width and height on the lower side of the upper boundary, taking the upper boundary straight line as an axis, mirroring the display area to the non-display area on the upper side of the upper boundary straight line, extracting a display area with preset height on the upper side of the lower boundary, taking the lower boundary straight line as an axis, and mirroring the display area to the non-display area on the lower side of the lower boundary straight line.
Preferably, the preset value width is determined by the filtering parameter of the image processing in step S4 and the size of the lattice unit of the display area.
Preferably, the step S21 and the step S22 may be interchanged in order.
Preferably, the width of the continuous image cut out in the step S3 is the width of the display area plus two times the preset value width, and the height of the continuous image cut out in the step S3 is the height of the display area plus two times the preset value height.
Preferably, the step S4 includes the steps of:
s41: performing time domain and frequency domain transformation on the image intercepted in the step S3, and converting the image into a frequency domain image;
s42: filtering the frequency domain image to filter out common frequencies;
s43: performing frequency domain and time domain transformation on the frequency domain image processed in the step S42 to convert the frequency domain image into a time domain image;
s44: denoising the time domain image, and intercepting a detection area according to the image size of the practical application equipment;
s45: if the image outside the detection area and the detection area is not defective, or the detection area is not defective, and the image outside the detection area is defective, the image processing is qualified, and the product is qualified; if the detection area is defective, the image processing is not qualified, and the product is not qualified.
The display function of the display is the core function of the display, so the processing of the display image is an important step before the product leaves factory, and the FFT (fast Fourier transform) algorithm is widely applied in the field of computer image processing, and filters the regularly and repeatedly appeared textures in the image to extract the irregular image characteristics, so that the defect points of the image can be visually found out from the visual image for improvement. However, when the FFT algorithm is used at the edge of the display area, since the edge is not a continuous and regular image, when the FFT algorithm is performed, a defect occurs, such as an image that is too dark or too bright, or an image that changes suddenly, and a detection person cannot determine whether the defect is in the display area or the image that changes suddenly due to the edge of the display area.
As shown in fig. 1-4, the invention provides a method for processing the edge of a displayed image, which includes, first, determining the boundary line between the displayed area and the non-displayed area through the step S1, locating the center and the inclination of the displayed area through an image matching algorithm in the step S1, moving the center of the displayed area to the center of the whole image through affine transformation, extracting the boundary of the displayed area through a boundary extraction algorithm, and fitting four boundary straight lines, i.e., upper, lower, left and right, as the axes of the mirror image in the subsequent steps.
As shown in fig. 5, in step S2, the non-display area on the left side of the display area is mirror-covered by the display area with the preset width on the right side of the left boundary line, the non-display area on the right side of the display area is mirror-covered by the display area with the preset width on the left side of the right boundary line, the non-display area on the upper side of the display area is mirror-covered by the display area with the preset height on the lower side of the upper boundary line, and the non-display area on the lower side of the display area is mirror-. In actual production, the clipped pattern texture of the edge region is incomplete, that is, it is impossible to cut out a complete dot matrix unit image, and then it is abnormal in the FFT. The invention aims to enable the incomplete cutting to occur in areas which do not need to be checked, wherein the preset width is the width which can be determined by people and has sudden change, the preset height is the height which can be determined by people and has sudden change, the parameter is related to an FFT filtering parameter, and the filtering is to filter out continuous image lattices, so the size is directly related to the size of lattice units, the filtering of lattice images is incomplete when the size is too small, and real defect areas can be filtered out when the size is too large. The dimensions of the width and height of the preset value determine the size of the outside of the display area, and the selection of the size is not beneficial as long as the mutation area can be outside the inspection area. Preferably, the preset value width and height are 1.5 times of the size of the display lattice unit. Thus, the non-display area and the display area are both continuous and regular images, so that the whole image can be subjected to FFT processing.
As shown in fig. 6, the continuous image after the mirror image processing is cut, the width of the cut continuous image is the width of the display area plus two times of the preset value width, and the height of the cut continuous image in step S3 is the height of the display area plus two times of the preset value height. Finally, FFT algorithm change is carried out on the intercepted image, the time domain image is converted into a frequency domain image, then filtering processing is carried out on the frequency domain image, continuous and regular frequency is filtered, irregular frequency, namely defect points, are remained, then the frequency domain image is converted into an observable time domain image, the defect points on the displayed image can be clearly seen, at the moment, a detection area frame is selected from the image according to parameters such as the display size and the resolution of a display, and if the defect points fall in the detection area frame, the product is unqualified; and if the defect point is located outside the detection area frame and no defect point is located in the detection area frame, or the images outside the detection area and the detection area frame are both free of defects, the product is qualified.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A method of processing edges of a displayed image, the method comprising the steps of:
s1: determining a boundary line between a display area and a non-display area;
s2: extracting a display area image of a preset value adjacent to the boundary line, and mirroring the display area image to a non-display area by taking the boundary line as an axis;
s3: intercepting the continuous image processed in the step S2;
s4: and (4) processing the images of the continuous images intercepted in the step (S3), judging whether the processed images are qualified, if the images are qualified, the products are qualified, and if the images are unqualified, the products are unqualified.
2. The method for processing the edge of the display image according to claim 1, wherein the step S1 comprises the following steps:
s11: moving the center of the display area to the center of the image;
s12: and extracting the boundary of the display area, and fitting an approximate boundary straight line.
3. The method for processing the edge of the display image according to claim 2, wherein the step S11 comprises the following steps:
S11A: positioning the center and the inclination angle of the display area through an image matching algorithm;
S11B: the center of the display area is moved to the image center by affine transformation.
4. The method according to claim 3, wherein the step S12 comprises the following steps:
S12A: extracting the boundary of the display area through a boundary extraction algorithm;
S12B: and fitting a boundary straight line by using the inclination angle between the boundary and the display area and the curvature of the boundary.
5. The method according to claim 1, wherein the preset values in step S2 include a preset value width and a preset value height.
6. The method according to claim 5, wherein the step S2 comprises the following steps:
s21: extracting a display area with a preset width on the right side of the left boundary, mirroring the display area to a non-display area on the left side of the left boundary straight line by taking the left boundary straight line as an axis, extracting a display area with a preset width on the left side of the right boundary, and mirroring the display area to a non-display area on the right side of the right boundary straight line by taking the right boundary straight line as an axis;
s22: and extracting a display area with preset width and height on the lower side of the upper boundary, taking the upper boundary straight line as an axis, mirroring the display area to the non-display area on the upper side of the upper boundary straight line, extracting a display area with preset height on the upper side of the lower boundary, taking the lower boundary straight line as an axis, and mirroring the display area to the non-display area on the lower side of the lower boundary straight line.
7. The method of claim 6, wherein the predetermined width is determined by the filter parameters of the image processing and the size of the lattice unit of the display area in step S4.
8. The method as claimed in claim 7, wherein the sequence of step S21 and step S22 can be interchanged.
9. The method of claim 8, wherein the width of the continuous image cut out in step S3 is the width of the display area plus two times the preset value width, and the height of the continuous image cut out in step S3 is the height of the display area plus two times the preset value height.
10. The method according to claim 9, wherein the step S4 includes the following steps:
s41: performing time domain and frequency domain transformation on the image intercepted in the step S3, and converting the image into a frequency domain image;
s42: filtering the frequency domain image to filter out common frequencies;
s43: performing frequency domain and time domain transformation on the frequency domain image processed in the step S42 to convert the frequency domain image into a time domain image;
s44: denoising the time domain image, and intercepting a detection area according to the image size of the practical application equipment;
s45: if the image outside the detection area and the detection area is not defective, or the detection area is not defective, and the image outside the detection area is defective, the image processing is qualified, and the product is qualified; if the detection area is defective, the image processing is not qualified, and the product is not qualified.
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2019
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| US20100053204A1 (en) * | 2008-08-26 | 2010-03-04 | Lg Display Co., Ltd. | Method for setting compensation region for irregular deffect region in manage display device |
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