CN110136619A - Failure detection method, device, the method for quality control of display panel - Google Patents
Failure detection method, device, the method for quality control of display panel Download PDFInfo
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- CN110136619A CN110136619A CN201910578871.4A CN201910578871A CN110136619A CN 110136619 A CN110136619 A CN 110136619A CN 201910578871 A CN201910578871 A CN 201910578871A CN 110136619 A CN110136619 A CN 110136619A
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- 238000001514 detection method Methods 0.000 title claims abstract description 23
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000003908 quality control method Methods 0.000 title abstract 2
- 230000002950 deficient Effects 0.000 claims abstract description 43
- 230000007547 defect Effects 0.000 claims description 69
- 238000007726 management method Methods 0.000 claims description 11
- 241001270131 Agaricus moelleri Species 0.000 claims description 9
- 238000005259 measurement Methods 0.000 claims description 9
- 230000003321 amplification Effects 0.000 claims description 6
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 abstract description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 4
- 239000000126 substance Substances 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000002245 particle Substances 0.000 description 2
- 206010027146 Melanoderma Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 208000003464 asthenopia Diseases 0.000 description 1
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/006—Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays
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- Control Of Indicators Other Than Cathode Ray Tubes (AREA)
Abstract
The present invention provides the failure detection method, device, method for quality control of a kind of display panel, belongs to field of display technology.A kind of failure detection method of display panel of the invention, it include: to confirm the display panel with the presence or absence of bad according to the display situation of display panel to be detected, if it exists, then the undesirable image of the display panel is had according to the first instruction acquisition of information received；The described image of acquisition is shown, shown image is amplified according to preset ratio, accurate defective region is determined according to the grayscale of each pixel of corresponding display described image, with the bad size of reality of the determination display panel.
Description
Technical Field
The invention belongs to the technical field of display, and particularly relates to a method and a device for detecting the defects of a display panel and a quality management method.
Background
With the development of display technology, the display resolution of the display panel is higher and higher, the shipment volume is larger and larger, and the task of quality detection of the display panel is heavier and heavier. At present, workers mainly use a contrast card or an eyepiece and the like to manually measure the defects of the display panel, but the defect area of the display panel is usually small, the workers are difficult to accurately measure the defect size of the display panel, and due to factors such as working experience and visual fatigue, the measurement results of different workers may be different.
Therefore, how to improve the accuracy of detecting defects of the display panel becomes a technical problem to be solved in the field.
Disclosure of Invention
The present invention is directed to at least one of the problems of the prior art, and provides a method for detecting a defect of a display panel, which can accurately detect a defect size of the display panel.
The technical scheme adopted for solving the technical problem of the invention is a method for detecting the defects of a display panel, which comprises the following steps:
whether the display panel is poor is confirmed according to the display condition of the display panel to be detected, and if the display panel is poor, the poor image with the display panel is obtained according to the received first indication information;
the method comprises the steps of displaying the acquired image, amplifying the displayed image according to a preset proportion, and determining a precise bad area according to the gray scale of each pixel correspondingly displaying the image so as to determine the actual bad size of the display panel.
Preferably, the step of displaying the acquired image, amplifying the image according to a preset ratio, and determining an accurate defective region according to a gray scale of each pixel corresponding to the displayed image includes:
amplifying and displaying the acquired image according to a preset proportion;
and determining a precise bad area according to the gray scale of each pixel after the corresponding display and amplification.
Preferably, the step of determining the precise defective region according to the gray scale of each pixel corresponding to the displayed image includes:
determining gray scales corresponding to each pixel displaying the image;
judging whether the gray scale of each pixel meets a preset range, and if so, enabling the pixel to display a first gray scale; if not, enabling the pixel to display a second gray scale; the first gray scale is different from the second gray scale;
and the maximum area defined by the pixels displaying the first gray scale is the accurate poor area.
Preferably, the defect detection method further includes a step of determining an actual defect size of the display panel; the step of determining the actual bad size of the display panel comprises:
measuring the size of the accurate bad area according to second indication information;
and calculating and determining the actual bad size of the display panel according to the measurement result and the preset proportion.
The technical scheme adopted for solving the technical problem of the invention is a quality management method of a display panel, which comprises any one of the poor detection methods of the display panel.
Preferably, the quality management method further includes:
and judging the bad grade of the display panel according to the actual bad size of the display panel.
The technical scheme adopted for solving the technical problem of the invention is a device for detecting the defect of a display panel, which comprises the following components:
the first determining unit is used for determining whether the display panel is poor or not according to the display condition of the display panel to be detected;
if the first indication information exists, acquiring a bad image with the display panel according to the received first indication information;
the image acquisition unit is used for confirming whether the display panel is poor or not according to the display condition of the display panel to be detected when the display panel is poor, and acquiring a poor image with the display panel according to the received first indication information if the display panel is poor;
an image display unit for displaying the acquired image;
the amplifying unit is used for amplifying the displayed image according to a preset proportion;
and the accurate determining unit is used for determining an accurate defective area according to the gray scale of each pixel corresponding to the displayed image so as to determine the actual defective size of the display panel.
Preferably, the amplifying unit is configured to amplify the acquired image according to a predetermined ratio;
the image display unit is specifically configured to display the enlarged acquired image;
the accurate determination unit is specifically configured to determine an accurate bad area according to the gray scale of each pixel after the corresponding display magnification.
Preferably, the accurate determination unit includes:
the gray scale determining module is used for determining the gray scale of each pixel of the display image corresponding to the display bad area;
the judging unit is used for judging whether the gray scale of each pixel meets a preset range or not, and if so, enabling the pixel to display a first gray scale; if not, enabling the pixel to display a second gray scale;
the maximum area defined by the pixels displaying the first gray scale constitutes the accurate defective area.
Preferably, the failure detection device further includes:
the measuring unit is used for measuring the size of the accurate bad area according to second indication information;
and the calculating unit is used for calculating and determining the actual bad size of the display panel according to the measuring result and the preset proportion.
Drawings
FIG. 1 is a flowchart illustrating a method for detecting defects of a display panel according to an embodiment of the present invention;
FIG. 2 is a displayed image of the display panel according to the embodiment of the present invention;
fig. 3 is an enlarged display image with a defective image according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Example 1:
as shown in fig. 1, the present embodiment provides a method for detecting a defect of a display panel, which is particularly suitable for detecting a defect size of a liquid crystal display panel. The method for detecting the defect comprises the following steps:
and S1, confirming whether the display panel is defective or not according to the display condition of the display panel to be detected, and if so, acquiring the defective image with the display panel according to the received first indication information.
In this embodiment, when the display panel has a defect, the worker may send first indication information to the defect detection device according to the position of the defect seen by the human eyes, and the defect detection device acquires a defect image with the display panel according to the received first indication information.
S2, displaying the acquired image, amplifying the displayed image according to a preset proportion, and determining a precise defective area according to the gray scale of each pixel of the corresponding display image so as to determine the actual defective size of the display panel.
Since the defects in the display panel are usually small, the human eye cannot directly determine the defect size accurately. In the step, the obtained image with the defects is amplified and processed, and the accurate defective area is determined according to the gray scale of each pixel in the defective area, so that staff can be helped to accurately determine the defective area of the display panel, and the accurate determination of the defective size of the display panel is facilitated.
In the defect detection method for the display panel provided by the embodiment, a tiny defective display image with fuzzy boundaries captured by human eyes can be acquired, the image is amplified, and an accurate actual defective area (namely an accurate defective area) is determined according to the change of the image display gray scale caused by defects, so that the accurate size of the tiny defects can be accurately determined, and the defect calibration of the display panel is facilitated.
In order to more clearly describe the method for detecting various defects of the display panel, the following description will be given of an example of detecting the presence of a defect caused by a foreign substance in the liquid crystal display panel. The detection method comprises the following steps:
and S11, controlling the display panel to be detected to display the detection picture.
This step is a preparation work of the defect detection method, as shown in fig. 2, by controlling the display panel to be detected to display, the display defect thereof is found (the dotted line intersection in fig. 2). The detection picture can be any display picture. Preferably, in order to facilitate the detection of the defect of the display panel, the detection screen is preferably a pure color screen, for example, a display screen of red, blue, green, pure white, or the like. The following description will be made by taking a pure white picture detection failure as an example.
And S12, confirming whether the display panel is defective or not according to the display condition of the display panel to be detected, and if so, acquiring the defective image with the display panel according to the received first indication information.
In this step, the display image of the display panel may be detected by human eye recognition of a worker or by a machine, a region where a defect of the display panel is located may be found, and an image with a defect may be acquired according to the found region where the defect is located. Taking the example that human eyes find the defect, the worker can confirm whether the display panel has the defect according to the display condition of the display panel to be detected, if the display panel has the defect (at the intersection point of the dotted lines in fig. 2), the region where the defect is located can be calibrated (first indication information is sent out) by using a tool such as a mouse, and the image acquisition unit acquires the display image of the region of the display panel to be detected according to the calibrated region. It should be noted that the display image is an image displayed to human eyes after the display panel is displayed in a defective mode.
It should be noted that, since the defect of the display panel is small, the defective region specified in this step is a rough defective region, and the precise size of the defect cannot be determined, that is, the defect in the image acquired in this step is small, so that the acquired image needs to be further processed in the subsequent steps to determine the precise size of the defect.
S13, displaying the acquired image, amplifying the displayed image according to a preset proportion, and determining a precise defective area according to the gray scale of each pixel of the corresponding display image so as to determine the actual defective size of the display panel.
In this step, as shown in fig. 3, the image with the defect is enlarged and processed to accurately determine the actual defective size of the display panel.
Preferably, the present step comprises:
s131, the acquired image is magnified and displayed according to a preset proportion.
That is, in this step, the acquired image with the defect is enlarged and displayed so that the defect is clearly visible to human eyes. The following description will take an example in which the defect is a black spot caused by a foreign substance.
S132, determining a precise defective area according to the gray scale of each pixel after corresponding display and amplification.
It is understood that the defect of the display panel is an abnormal display region of the display panel. For example, when the defect is caused by a foreign object in the display panel, a black dot appears at a position of the display panel corresponding to the foreign object due to the foreign object, and a gradual change from the black dot to a normal display area (e.g., a white area) is formed. When determining the bad size, even if the obtained image with the bad size is enlarged, the boundary of the bad size cannot be clearly distinguished by human eyes due to the fuzzy gradient region, so in this embodiment, the precise bad region is determined by the gray scale of each pixel displaying the image.
Specifically, in this embodiment, the determination of the precise bad area can be realized through the following steps:
s1321, determining the gray scale of each pixel corresponding to the display image.
It is understood that when an image with a defect is displayed, the display of the defective region is not in accordance with the display gradation that should be originally displayed. Taking the normal display of a pure color picture as an example, the gray scales of the normally displayed area (white) are the same gray scale, the gray scales of the bad area are different from the gray scales of the normal display area, the gray scales of the edge part are gradually changed (from white to black), the gray scales of the middle part are consistent, and black is displayed.
S1322, judging whether the gray scale of each pixel meets a preset range, and if so, enabling the pixel to display a first gray scale; if not, the pixel is made to display a second gray scale; the first gray scale is different from the second gray scale; the maximum area defined by the pixels displaying the first gray scale is an accurate poor area.
In this embodiment, the preset range may be determined according to a difference between the gray scale of each pixel of the currently displayed image and the ideal gray scale of each pixel when the display panel normally displays, and the accurate defective region may be determined by comparing the gray scale of each pixel with the preset range. In order to enable the defects to be displayed obviously, the pixels with the gray scales meeting the preset range can display a first gray scale, the pixels with the gray scales not meeting the preset range can display a second gray scale, the defect display area is made to be obviously different from the normal display area, and the accurate defect area is determined accurately.
When the detected image is a pure color, as a preferred embodiment, the display gray scale of each pixel may be compared with a preset gray scale threshold, and the maximum area defined by the pixel with the gray scale value greater than the gray scale threshold may be determined as a precise bad area. The gray level threshold may be set according to the recognition capability of human eyes, for example, if the lowest gray level value that human eyes can recognize is 160 for red, green and blue, the pixels with the gray level value below 160 may be controlled to display full black, the liquid crystal particle deflection angle is 0 °, the pixels with the gray level value above 160 are controlled to display full white, the liquid crystal particle deflection angle is 90 °, as shown in fig. 3, at this time, the image is displayed as a white area in black, and the white area is also a precise defective area.
Therefore, the accurate region of the display panel can be determined, the size of the amplified accurate bad region is measured, and the actual bad size of the display panel can be calculated according to the amplification proportion.
Wherein the step of determining the undesirable size may be performed manually or electronically.
Preferably, in this embodiment, the method further includes: and S14, determining the actual bad size of the display panel. The step of determining the actual defective size of the display panel comprises:
and S141, measuring the size of the accurate bad area according to the second indication information.
In this step, the worker may select the boundary (such as the width boundary and the height boundary) of the defective region to be measured by using a tool such as a mouse according to the precise defective region determined in step S13, that is, may send second indication information to the defect detection device by using the tool such as the mouse, and the defect detection device may automatically perform electronic measurement according to the second indication information to measure the required size.
And S142, calculating and determining the actual bad size of the display panel according to the measurement result and the preset proportion.
It is understood that the dimension measured in step S142 is a dimension after poor enlargement, and the actual poor dimension of the display panel can be determined by calculation according to the measurement result and the enlargement ratio in this step.
Example 2:
the embodiment provides a quality management method of a display panel, which comprises the following steps: the method for detecting a defect of any one of the display panels provided in embodiment 1.
Since the quality management method of the display panel of this embodiment includes the defect detection method of the display panel provided in embodiment 1, the defect size of the display panel can be accurately detected, and the defect grade of the display panel can be determined according to the defect size, thereby improving the quality management effect of the display panel.
Preferably, the quality management method provided by this embodiment further includes: and judging the defect grade of the display panel according to the actual defect size of the display panel.
In this embodiment, after the defective size of the display panel is detected, the defective size of the display panel may be uploaded to and stored in the MES system, so as to determine the defective grade of the display panel.
Specifically, when the bad grade of the display panel is judged, the grade of the display panel can be selected manually, then the judgment system automatically performs label alignment according to the bad size of the display panel stored in the MES system, if the label alignment is successful, the display panel is put in storage according to the grade of the display panel selected manually, and if the label alignment is not successful, a worker is instructed to reselect the grade, and the label alignment is performed until the label alignment is successful.
The classification standard of the bad grade of the display panel may be a specification and a grade corresponding to the bad grade according to the customer and the process requirement, which is not specifically limited in this embodiment.
In the quality management method provided in this embodiment, the results detected by the failure detection method provided in embodiment 1 may be automatically matched and classified by a classification system of a company, and compared with the prior art in which manual measurement is performed and the measurement results are manually selected according to the memorized specifications.
Example 3:
the present embodiment provides a device for detecting defects of a display panel, including: the device comprises a first determination unit, an image acquisition unit, an image display unit, an amplification unit and a precise determination unit. Wherein,
the first determining unit is used for determining whether the display panel is poor or not according to the display condition of the display panel to be detected.
The image acquisition unit is used for confirming whether the display panel is poor or not according to the display condition of the display panel to be detected when the display panel is poor, and acquiring a poor image with the display panel according to the received first indication information if the display panel is poor.
The image display unit is used for displaying the acquired image.
The amplifying unit is used for amplifying the displayed image according to a preset proportion.
The accurate determining unit is used for determining an accurate bad area according to the gray scale of each pixel of the corresponding display image so as to determine the actual bad size of the display panel.
Preferably, the enlarging unit is configured to enlarge the acquired image in a predetermined ratio. The image display unit is specifically configured to display the enlarged acquired image. The accurate determination unit is specifically configured to determine an accurate defective region according to a gray scale corresponding to each pixel after display and amplification.
Preferably, the accurate determination unit includes: the device comprises a gray scale determining module and a judging module. The gray scale determining module is used for determining the gray scale of each pixel of the display image corresponding to the display bad area; the judging module is used for judging whether the gray scale of each pixel meets a preset range or not, and if so, enabling the pixel to display a first gray scale; if not, the pixel is made to display a second gray scale; the maximum area defined by the pixels displaying the first gray scale constitutes an accurate defective area.
Preferably, the failure detection device in the figure of the present embodiment further includes: a measuring unit and a calculating unit. The measuring unit is used for measuring the size of the accurate poor area according to the second indication information; the calculation unit is used for calculating and determining the actual bad size of the display panel according to the measurement result and the preset proportion.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (10)
1. A method for detecting a defect of a display panel includes:
whether the display panel is poor is confirmed according to the display condition of the display panel to be detected, and if the display panel is poor, the poor image with the display panel is obtained according to the received first indication information;
the method comprises the steps of displaying the acquired image, amplifying the displayed image according to a preset proportion, and determining a precise bad area according to the gray scale of each pixel correspondingly displaying the image so as to determine the actual bad size of the display panel.
2. The method according to claim 1, wherein the step of displaying the acquired image, enlarging the image according to a preset scale, and determining an accurate defective area according to a gray scale corresponding to each pixel displaying the image comprises:
amplifying and displaying the acquired image according to a preset proportion;
and determining a precise bad area according to the gray scale of each pixel after the corresponding display and amplification.
3. The method of claim 1, wherein the step of determining the precise defective area according to the gray scale corresponding to each pixel displaying the image comprises:
determining gray scales corresponding to each pixel displaying the image;
judging whether the gray scale of each pixel meets a preset range, and if so, enabling the pixel to display a first gray scale; if not, enabling the pixel to display a second gray scale; the first gray scale is different from the second gray scale;
and the maximum area defined by the pixels displaying the first gray scale is the accurate poor area.
4. The method of claim 1, further comprising the step of determining an actual defect size of the display panel; the step of determining the actual bad size of the display panel comprises:
measuring the size of the accurate bad area according to second indication information;
and calculating and determining the actual bad size of the display panel according to the measurement result and the preset proportion.
5. A quality management method of a display panel, comprising: the method for detecting a defect of a display panel according to any one of claims 1 to 4.
6. The method for quality management of a display panel according to claim 5, further comprising:
and judging the bad grade of the display panel according to the actual bad size of the display panel.
7. A defect detection device for a display panel, comprising:
the first determining unit is used for determining whether the display panel is poor or not according to the display condition of the display panel to be detected;
if the first indication information exists, acquiring a bad image with the display panel according to the received first indication information;
the image acquisition unit is used for confirming whether the display panel is poor or not according to the display condition of the display panel to be detected when the display panel is poor, and acquiring a poor image with the display panel according to the received first indication information if the display panel is poor;
an image display unit for displaying the acquired image;
the amplifying unit is used for amplifying the displayed image according to a preset proportion;
and the accurate determining unit is used for determining an accurate defective area according to the gray scale of each pixel corresponding to the displayed image so as to determine the actual defective size of the display panel.
8. The apparatus for detecting a defect of a display panel according to claim 7,
the amplifying unit is used for amplifying the acquired image according to a preset proportion;
the image display unit is specifically configured to display the enlarged acquired image;
the accurate determination unit is specifically configured to determine an accurate bad area according to the gray scale of each pixel after the corresponding display magnification.
9. The apparatus of claim 7, wherein the accurate determination unit comprises:
the gray scale determining module is used for determining the gray scale of each pixel of the display image corresponding to the display bad area;
the judging unit is used for judging whether the gray scale of each pixel meets a preset range or not, and if so, enabling the pixel to display a first gray scale; if not, enabling the pixel to display a second gray scale;
the maximum area defined by the pixels displaying the first gray scale constitutes the accurate defective area.
10. The apparatus for detecting a defect of a display panel according to claim 7, further comprising:
the measuring unit is used for measuring the size of the accurate bad area according to second indication information;
and the calculating unit is used for calculating and determining the actual bad size of the display panel according to the measuring result and the preset proportion.
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