CN107316303A - Display panel Mura area detecting methods - Google Patents

Display panel Mura area detecting methods Download PDF

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Publication number
CN107316303A
CN107316303A CN201710744375.2A CN201710744375A CN107316303A CN 107316303 A CN107316303 A CN 107316303A CN 201710744375 A CN201710744375 A CN 201710744375A CN 107316303 A CN107316303 A CN 107316303A
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contrast
mura
detecting
threshold value
regions
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CN107316303B (en
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史超超
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Shenzhen China Star Optoelectronics Semiconductor Display Technology Co Ltd
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Shenzhen China Star Optoelectronics Semiconductor Display 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
    • G06T7/0004Industrial image inspection
    • G06T7/0008Industrial image inspection checking presence/absence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/136Segmentation; Edge detection involving thresholding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/155Segmentation; Edge detection involving morphological operators
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30121CRT, LCD or plasma display

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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)
  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Controls And Circuits For Display Device (AREA)
  • Image Analysis (AREA)

Abstract

The present invention provides a kind of display panel Mura area detecting methods.This method strengthens the contrast that contrast in display image is more than or equal to the Mura regions of a threshold value by way of histogram equalization first, and export the first detecting figure that correspondence contrast is more than or equal to the Mura regions of a threshold value, the GTG that contrast in display image is then more than or equal to the neighboring area in the Mura regions of a threshold value fills to the contrast Mura regions for being more than or equal to a threshold value, strengthen the contrast that contrast in display image is less than the Mura regions of a threshold value by way of histogram equalization again, and export the second detecting figure that correspondence contrast is less than the Mura regions of a threshold value, first detecting figure and the second detecting figure are finally overlapped to the 3rd detecting figure in the Mura regions of the corresponding multiple different contrasts of output, the Mura regions of multiple different contrasts are separated from the background of display image, improve the accuracy and applicability of Mura area detectings.

Description

Display panel Mura area detecting methods
Technical field
The present invention relates to display technology field, more particularly to a kind of display panel Mura area detecting methods.
Background technology
Panel display apparatus has many merits such as thin fuselage, power saving, radiationless, is widely used.It is existing Panel display apparatus mainly includes liquid crystal display device (Liquid Crystal Display, LCD) and Organic Light Emitting Diode Display device (Organic Light-Emitting Display, OLED).
With science and technology development and people's material life demand, now flat-panel screens be sized for it is increasing, Display resolution also more and more higher, the requirement to production technology is also more and more harsh.At present in display panel production process by Mura is often produced in reasons such as production technologies, so-called Mura refers to the various vestiges caused by display panel brightness irregularities Phenomenon.By the way that display panel is switched into black picture and other low grey menus in darkroom, then from a variety of Angle is gone to see in display picture can determine whether that the display panel whether there is Mura with the presence or absence of vestige, and this vestige is probably horizontal To striped or 45 degree of angle bead lines, it may be possible to cut to obtain very straight square, it may be possible to which some corner occurs one piece, it is also possible to do not have The regular vestige sayed, usual this viewing area for various vestiges occur is referred to as Mura regions by us.
Mura presence will not be impacted to the use function of display panel, but the viewing that can reduce user is comfortable Degree, therefore Mura constrains the development of LCD display and OLED display.Because display image background is complicated, Mura regions phase There is low contrast and without obvious border for background, it is difficult to carry out quantification treatment to Mura regions.Prior art is by that can examine Feel that distortion (Just Noticeable Distortion, JND) multi thresholds method for detecting is detected to Mura regions, this method Display image is pre-processed first, image averaging value and variance is solved, then carrying out JND multi thresholds to display image sentences It is fixed, when the region JND values for detecting display image are more than a threshold value, then the region is judged as Mura regions, to the Mura Region segmentation edge detection is simultaneously exported.Existing JND multi thresholds method for detecting can go out the higher Mura of contrast with rapid detection Region, when display image background is uneven complicated, during the detecting too low Mura regions or multiple Mura regions of contrast, threshold value Parted pattern easily fails, and detecting result is inaccurate, it is impossible to completely separate in Mura regions from background.
The content of the invention
, can be by multiple different contrasts it is an object of the invention to provide a kind of display panel Mura area detecting methods Mura regions separated from the background of display image, improve Mura area detectings accuracy and applicability.
To achieve the above object, the invention provides a kind of display panel Mura area detecting methods, comprise the following steps:
Step S1, input one have the display image in the Mura regions of multiple different contrasts and the display image are carried out Pretreatment;
Step S2, strengthen by way of histogram equalization contrast in display image and be more than or equal to a threshold value The contrast in Mura regions, and export the first detecting figure that correspondence contrast is more than or equal to the Mura regions of a threshold value;
Step S3, the GTG of neighboring area in the Mura regions that contrast in display image is more than or equal to a threshold value are filled out It is charged to the Mura regions that the contrast is more than or equal to a threshold value;
Step S4, strengthen by way of histogram equalization the Mura regions that contrast in display image is less than a threshold value Contrast, and export correspondence contrast be less than a threshold value Mura regions the second detecting figure;
Step S5, the first detecting figure and the second detecting figure are overlapped to one corresponding multiple different contrast of output The 3rd detecting figure in Mura regions.
The pretreatment is space smoothing filtering process.
In the step S2, by the way that contrast is more than or equal to, the Mura regions of a threshold value are split and shape is swollen Swollen corrosion treatment, exports the first detecting figure.
The first detecting figure is binary image.
The GTG of display image is 0 in the first detecting figure, and contrast is more than or equal to the Mura regions of a threshold value GTG is 255.
In the step S4, split and shape dilation erosion by the Mura regions that contrast is less than to a threshold value Processing, exports the second detecting figure.
The second detecting figure is binary image.
The GTG of display image is 0 in the second detecting figure, and the GTG that contrast is less than the Mura regions of a threshold value is 255。
The 3rd detecting figure is binary image.
The GTG of display image is 0 in the 3rd detecting figure, and the GTG in the Mura regions of multiple different contrasts is 255。
Beneficial effects of the present invention:A kind of display panel Mura area detecting methods that the present invention is provided, first by straight The mode of side's figure equalization strengthens the contrast that contrast in display image is more than or equal to the Mura regions of a threshold value, and exports Correspondence contrast is more than or equal to the first detecting figure in the Mura regions of a threshold value, then contrast in display image is more than or GTG equal to the neighboring area in the Mura regions of a threshold value is filled to Mura region of the contrast more than or equal to a threshold value, Strengthen the contrast that contrast in display image is less than the Mura regions of a threshold value by way of histogram equalization again, and it is defeated Go out the second detecting figure that correspondence contrast is less than the Mura regions of a threshold value, finally carry out the first detecting figure with the second detecting figure The 3rd detecting figure in the Mura regions of the multiple different contrasts of superposition output correspondence, i.e., by the Mura regions of multiple different contrasts Separated from the background of display image, improve the accuracy and applicability of Mura area detectings.
Brief description of the drawings
In order to be able to be further understood that the feature and technology contents of the present invention, refer to below in connection with the detailed of the present invention Illustrate and accompanying drawing, however accompanying drawing only provide with reference to and explanation use, not for being any limitation as to the present invention.
In accompanying drawing,
Fig. 1 is the flow chart of the display panel Mura area detecting methods of the present invention;
Fig. 2 is the display panel Mura area detecting method and steps S2 of present invention schematic diagram;
Fig. 3 is the display panel Mura area detecting method and steps S3 of present invention schematic diagram;
Fig. 4 and Fig. 5 is the display panel Mura area detecting method and steps S4 of present invention schematic diagram;
Fig. 6 is the display panel Mura area detecting method and steps S5 of present invention schematic diagram.
Embodiment
Further to illustrate the technological means and its effect of the invention taken, below in conjunction with being preferable to carry out for the present invention Example and its accompanying drawing are described in detail.
Referring to Fig. 1, the present invention provides a kind of display panel Mura area detecting methods, comprise the following steps:
Step S1, input one have the display image 10 in the Mura regions 20 of multiple different contrasts and to the display image 10 are pre-processed.
Specifically, the pretreatment is space smoothing filtering process.Because the presence of the noise of display image 10 can be to follow-up Detecting result impact, when the contrast in Mura regions 20 is relatively low relative to the contrast of display image 10, can cause The relatively low Mura regions 20 of the contrast are completely superposed in the background of display image 10, and display can be eliminated by the filtering process Influence and reservation display image 10 background characteristics of the noise of image 10 to Mura regions 20 so that the background of display image 10 is more flat Sliding, Mura regions 20 are more protruded relative to the background of display image 10.
Step S2, referring to Fig. 2, strengthening contrast in display image 10 by way of histogram equalization it is more than or waits Contrast in the Mura regions 20 of a threshold value, and export correspondence contrast is more than or equal to the Mura regions 20 of a threshold value the One detecting Figure 30.
Specifically, split and shape expansion corruption by the way that contrast to be more than or equal to the Mura regions 20 of a threshold value Erosion is handled, and is exported described first detecting Figure 30, by first expanding post-etching the image in Mura regions 20 can be made more complete, no Crack occurs, and the location and shape of image will not be changed.
Specifically, described first detecting Figure 30 is binary image.Further, figure is shown in described first detecting Figure 30 The GTG of picture 10 is 0, and the GTG that contrast is more than or equal to the Mura regions 20 of a threshold value is 255 so that the Mura regions 20 Profile highlight.
Step S3, referring to Fig. 3, by contrast in display image 10 be more than or equal to a threshold value Mura regions 20 week The GTG in border area domain fills to the contrast Mura regions 20 for being more than or equal to a threshold value.
Step S4, Fig. 4 and Fig. 5 are referred to, strengthen contrast in display image 10 by way of histogram equalization small Contrast in the Mura regions 20 of a threshold value, and export the second detecting that correspondence contrast is less than the Mura regions 20 of a threshold value Figure 40.
Specifically, by by contrast be less than a threshold value Mura regions 20 split and shape dilation erosion at Reason, exports described second detecting Figure 40.
Specifically, described second detecting Figure 40 is binary image.Further, figure is shown in described second detecting Figure 40 The GTG of picture 10 is 0, and the GTG that contrast is less than the Mura regions 20 of a threshold value is 255 so that the profile in the Mura regions 20 Highlight.
Step S5, referring to Fig. 6, described first detecting Figure 30 is overlapped with second detecting Figure 40 export one corresponding many The 3rd detecting Figure 50 in the Mura regions 20 of individual different contrast.
Specifically, described 3rd detecting Figure 50 is binary image.Further, figure is shown in described 3rd detecting Figure 50 The GTG of picture 10 is 0, and the GTG in the Mura regions 20 of multiple different contrasts is 255 so that the profile in the Mura regions 20 Highlight.
It should be noted that the display panel Mura area detecting methods of the present invention, in order to detect in display image 10 not With multiple Mura regions 20 of low contrast, strengthen contrast in display image 10 by way of histogram equalization first big In or equal to a threshold value Mura regions 20 be high-contrast Mura regions 20 contrast, make the Mura regions of high-contrast 20 contrast is higher relative to the background contrasts of display image 10, and is divided by the Mura regions 20 to high-contrast Cut and the processing of shape dilation erosion, the first detecting Figure 30 in the Mura regions 20 of output correspondence high-contrast, and contrast is small Approach and overlap with the background of display image 10 in the Mura regions 20 of a threshold value i.e. Mura regions 20 of low contrast, it is to avoid to height The detecting in the Mura regions 20 of contrast produces interference, then by the periphery in the Mura regions 20 of high-contrast in display image 10 The GTG in region is filled to the Mura regions 20 of the high-contrast, makes the Mura regions 20 of high-contrast and the back of the body of display image 10 Scape is completely superposed, it is to avoid the detecting to the Mura regions 20 of low contrast produces interference, then by way of histogram equalization Strengthen the contrast in the Mura regions 20 of low contrast in display image 10, improve the contrast in the Mura regions 20 of low contrast With the difference of the background contrasts of display image 10, highlight the Mura regions 20 of low contrast, and by low contrast The Mura regions 20 of degree are split and the processing of shape dilation erosion, and the second of the Mura regions 20 of output correspondence low contrast Figure 40 is detected, finally by Mura regions of the first detecting Figure 30 in the Mura regions 20 of correspondence high-contrast with corresponding low contrast 20 second detecting Figure 40 is overlapped the 3rd detecting Figure 50 in the Mura regions 20 of the multiple different contrasts of output correspondence, will The Mura regions 20 of multiple different contrasts are separated from the background of display image 10, improve the standard of Mura area detectings True property and applicability.
In summary, display panel Mura area detecting methods of the invention, first by way of histogram equalization Strengthen display image in contrast be more than or equal to a threshold value Mura regions contrast, and export correspondence contrast be more than or Equal to the first detecting figure in the Mura regions of a threshold value, contrast in display image is then more than or equal to the Mura of a threshold value The GTG of the neighboring area in region fills to the contrast Mura regions for being more than or equal to a threshold value, then passes through histogram equalization The mode of change strengthens the contrast that contrast in display image is less than the Mura regions of a threshold value, and exports correspondence contrast and be less than The second detecting figure in the Mura regions of one threshold value, is finally overlapped output corresponding multiple by the first detecting figure and the second detecting figure The 3rd detecting figure in the Mura regions of different contrast, i.e., by the Mura regions of multiple different contrasts from the back of the body of display image Separated in scape, improve the accuracy and applicability of Mura area detectings.
It is described above, for the person of ordinary skill of the art, can be with technique according to the invention scheme and technology Other various corresponding changes and deformation are made in design, and all these changes and deformation should all belong to the claims in the present invention Protection domain.

Claims (10)

1. a kind of display panel Mura area detecting methods, it is characterised in that comprise the following steps:
Step S1, input one have the display image (10) in the Mura regions (20) of multiple different contrasts and to the display image (10) pre-processed;
Step S2, strengthen by way of histogram equalization contrast in display image (10) and be more than or equal to a threshold value The contrast in Mura regions (20), and export the first detecting that correspondence contrast is more than or equal to the Mura regions (20) of a threshold value Scheme (30);
Step S3, by contrast in display image (10) be more than or equal to a threshold value Mura regions (20) neighboring area ash Rank fills to the contrast Mura regions (20) for being more than or equal to a threshold value;
Step S4, strengthen by way of histogram equalization the Mura regions that contrast in display image (10) is less than a threshold value (20) contrast, and export the second detecting figure (40) that correspondence contrast is less than the Mura regions (20) of a threshold value;
Step S5, by described first detecting scheme (30) with second detecting figure (40) be overlapped output one correspondence it is multiple it is different contrast The 3rd detecting figure (50) in the Mura regions (20) of degree.
2. display panel Mura area detecting methods as claimed in claim 1, it is characterised in that the pretreatment is flat for space Sliding filtering process.
3. display panel Mura area detecting methods as claimed in claim 1, it is characterised in that in the step S2, pass through The Mura regions (20) that contrast is more than or equal to a threshold value are split and shape dilation erosion is handled, output described the One detecting figure (30).
4. display panel Mura area detecting methods as claimed in claim 1, it is characterised in that the first detecting figure (30) For binary image.
5. display panel Mura area detecting methods as claimed in claim 4, it is characterised in that the first detecting figure (30) The GTG of middle display image (10) is 0, and the GTG that contrast is more than or equal to the Mura regions (20) of a threshold value is 255.
6. display panel Mura area detecting methods as claimed in claim 1, it is characterised in that in the step S4, pass through The Mura regions (20) that contrast is less than a threshold value are split and the processing of shape dilation erosion, second detecting is exported Scheme (40).
7. display panel Mura area detecting methods as claimed in claim 1, it is characterised in that the second detecting figure (40) For binary image.
8. display panel Mura area detecting methods as claimed in claim 7, it is characterised in that the second detecting figure (40) The GTG of middle display image (10) is 0, and the GTG that contrast is less than the Mura regions (20) of a threshold value is 255.
9. display panel Mura area detecting methods as claimed in claim 1, it is characterised in that the 3rd detecting figure (50) For binary image.
10. display panel Mura area detecting methods as claimed in claim 9, it is characterised in that the 3rd detecting figure (50) GTG of display image (10) is 0 in, and the GTG in the Mura regions (20) of multiple different contrasts is 255.
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CN111814524A (en) * 2019-09-25 2020-10-23 常俊杰 Self-adaptive big data analysis platform

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