WO2019137035A1 - 隔垫物支撑能力评价方法和装置及计算机可读存储介质 - Google Patents

隔垫物支撑能力评价方法和装置及计算机可读存储介质 Download PDF

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WO2019137035A1
WO2019137035A1 PCT/CN2018/104978 CN2018104978W WO2019137035A1 WO 2019137035 A1 WO2019137035 A1 WO 2019137035A1 CN 2018104978 W CN2018104978 W CN 2018104978W WO 2019137035 A1 WO2019137035 A1 WO 2019137035A1
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Prior art keywords
spacer
distribution
image
support pad
pixel
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PCT/CN2018/104978
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English (en)
French (fr)
Inventor
孙雪菲
王新星
柳在健
姚继开
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京东方科技集团股份有限公司
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Priority to US16/336,761 priority Critical patent/US11216937B2/en
Publication of WO2019137035A1 publication Critical patent/WO2019137035A1/zh

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    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour 
    • G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour  based on liquid crystals, e.g. single liquid crystal display cells
    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour 
    • G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour  based on liquid crystals, e.g. single liquid crystal display cells
    • G02F1/1306—Details
    • G02F1/1309—Repairing; Testing
    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour 
    • G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour  based on liquid crystals, e.g. single liquid crystal display cells
    • G02F1/133—Constructional arrangements; Operation of liquid crystal cells; Circuit arrangements
    • G02F1/1333—Constructional arrangements; Manufacturing methods
    • G02F1/1339—Gaskets; Spacers; Sealing of cells
    • G02F1/13392—Gaskets; Spacers; Sealing of cells spacers dispersed on the cell substrate, e.g. spherical particles, microfibres
    • G—PHYSICS
    • G02—OPTICS
    • G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
    • G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
    • G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour 
    • G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour  based on liquid crystals, e.g. single liquid crystal display cells
    • G02F1/133—Constructional arrangements; Operation of liquid crystal cells; Circuit arrangements
    • G02F1/1333—Constructional arrangements; Manufacturing methods
    • G02F1/1339—Gaskets; Spacers; Sealing of cells
    • G02F1/13394—Gaskets; Spacers; Sealing of cells spacers regularly patterned on the cell subtrate, e.g. walls, pillars
    • 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
    • G06T7/001—Industrial image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • 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
    • 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

Definitions

  • the present disclosure relates to the field of display technology. More specifically, it relates to a spacer support capability evaluation method and apparatus and a computer readable storage medium.
  • the liquid crystal display device is currently the mainstream product of flat panel display, and the liquid crystal panel is an important component thereof.
  • the liquid crystal panel includes a color filter substrate and an array substrate, and a liquid crystal is disposed therebetween.
  • the method generally may include: providing an elastic restoring force between the array substrate and the color filter substrate.
  • the spacer Post Spacer, PS
  • PS can keep the cell thickness of the liquid crystal cell stable and uniform when the spacer is in a compressed state and functions to support the liquid crystal cell.
  • Embodiments of the present disclosure provide a spacer support capability evaluation method, including: acquiring an initial image of a distribution of spacers on a substrate and a distribution initial image of a corresponding support pad; respectively, initial images of distribution of the spacers and Performing a binary grayscale process on the distribution initial image of the support pad to obtain a distribution image of the spacer and a distribution image of the corresponding support pad, the distribution image of the spacer and the pixels in the distribution image of the corresponding support pad Gray scale is represented by a first value or a second value, the first value is one of number 1 and number 0, and the second value is the other of number 1 and number 0; according to the spacer Distributing an image to obtain a first binary matrix, and obtaining a second binary matrix according to the distribution image of the support pad, wherein each element in the first binary matrix respectively corresponds to each pixel in the distribution image of the spacer
  • the value of each element in the first binary matrix is the gray level of the corresponding pixel in the distribution image of the spacer, and
  • the step of acquiring a distribution initial image of the spacer on the substrate and distributing the initial image of the support pad comprises: obtaining a size of the spacer and the corresponding support pad, a position arrangement on the substrate, and a shape And collecting an initial image of the distribution of the spacers and a distribution initial image of the corresponding support pads according to the size, the positional arrangement on the substrate, and the shape.
  • the method further includes: prior to the step of separately performing a binary grayscale processing on the distribution initial image of the spacer and the distribution initial image of the corresponding support pad, The distribution initial image and the distribution initial image of the corresponding support pad are pixel-divided.
  • the step of separately performing a binary grayscale processing on the distribution initial image of the spacer and the distribution initial image of the corresponding support pad comprises: assigning a grayscale value of 2n -1 to the partition a pixel in which the spacer is disposed in the initial image of the spacer, and a grayscale value of 0 is assigned to the pixel in the distribution initial image of the spacer that is not provided with the spacer, and the grayscale value is 2 n -1
  • the distribution of the support pad is provided with a pixel of the support pad in the initial image, and the gray scale value of 0 is assigned to the pixel in the distribution initial image of the support pad where the support pad is not provided, and the gray scale value 2 n -1 corresponds to the number 1.
  • the step of separately performing a binary grayscale processing on the distribution initial image of the spacer and the distribution initial image of the support pad comprises: assigning a grayscale value of 0 to 2 n -1 to the septum Distributing the pixels of the edge region of the single spacer image in the initial image, and, in the distribution initial image of the spacer, the pixel whose grayscale is greater than the preset value represents the grayscale of the pixel by the first value, and the grayscale a pixel smaller than the preset value represents the pixel gray scale by a second value to obtain a distribution image of the spacer; assigning a gray scale value of 0 to 2 n -1 to the edge of the single support pad image in the distribution initial image of the support pad a pixel of a region, and, in a distribution initial image of the support pad, a pixel whose grayscale is greater than a preset value represents the grayscale of the pixel by a first value, and a pixel whose grayscale is smaller than a preset value represents the
  • the distribution of the initial image of the spacer and the distribution of the initial image of the corresponding support pad each pixel has a size of 1 to 2 microns.
  • the method further comprises: causing the spacer image to be displaced in different directions and at different distances relative to the support pad image, obtaining an initial distribution of the distribution of the spacer after displacement and initial distribution of the support pad The image was evaluated based on the displacement of the spacer image and the support pad image to obtain the support ability evaluation of the spacer and the support pad.
  • the method further includes presenting the support capability evaluation results of the spacer and the support mat in a profile.
  • a further embodiment of the present disclosure provides a spacer support capability evaluation apparatus including an acquisition unit and a data processing unit.
  • the acquiring unit is configured to obtain a distribution initial image of the spacer on the substrate and a distribution initial image of the corresponding supporting pad;
  • the data processing unit includes a graying module, a gray matrix acquiring module, an image superimposing module, and a calculating unit.
  • a gray-scaled module configured to separately perform a binary gray-scale processing on the distribution initial image of the spacer and the distribution initial image of the corresponding support pad to obtain a distribution image of the spacer and a distribution image of the corresponding support pad, wherein a grayscale of each of the distribution images of the spacer and the distribution image of the corresponding support pad is represented by a first value or a second value, the first value being one of a number 1 and a number 0, The second value is the other one of the number 1 and the number 0; the gray matrix acquisition module is configured to obtain a first binary matrix according to the distribution image of the spacer, and obtain a second second according to the distribution image of the support pad a meta matrix, wherein each element in the first binary matrix respectively corresponds to each pixel in a distribution image of the spacer, and a value of each element in the first binary matrix is a distribution of the spacer a gray level of a corresponding pixel in the image, each element in the second binary matrix respectively corresponding to each pixel in the distribution image
  • the acquisition unit acquires the size of the spacer and the corresponding support pad, the positional arrangement and shape on the substrate, and acquires the spacer according to the size, the position arrangement on the substrate, and the shape.
  • the initial image of the distribution and the initial image of the distribution of the corresponding support pads are provided.
  • the grayscale module is further configured to pixel-divide the distribution initial image of the spacer and the distribution initial image of the corresponding support pad to obtain a distribution image of the spacer and a corresponding support pad. Each pixel in the distribution image.
  • the grayscaled module respectively performs binary grayscale processing on the distribution initial image of the spacer and the distribution initial image of the corresponding support pad, including: assigning a grayscale value of 2n -1 to the partition
  • the distribution of the mat object is provided with a spacer pixel in the initial image
  • the gray scale value 0 is assigned to the pixel 0 in which the spacer object is not disposed in the distribution initial image of the spacer
  • the gray scale value is 2 n -1
  • the grayscaled module respectively performs binary grayscale processing on the distribution initial image of the spacer and the distribution initial image of the corresponding support pad, further comprising: setting the grayscale value to 0 to 2n- 1 assigning a pixel of the edge region of the single spacer image in the distribution initial image of the spacer, and displaying the pixel gray scale with the first value in the initial image of the distribution of the spacer Pixels whose grayscale is smaller than the preset value are represented by the second value as the second grayscale to obtain a distribution image of the spacer; the grayscale value of 0 to 2n -1 is assigned to the support pad in the initial image of the distribution support Padding a pixel of an edge region of the image, and, in the initial image of the distribution of the support pad, a pixel having a grayscale greater than a preset value represents the pixel grayscale with a first value, and a pixel having a grayscale smaller than a preset value is second The value represents the gray level of the pixel to obtain a distribution
  • the distribution of the initial image of the spacer and the distribution of the corresponding support pad in the initial image have a size of 1 to 2 microns.
  • the data processing unit is further configured to displace the spacer image on the substrate in different directions and different distances from the support pad image, to obtain a distribution initial image of the spacer and a corresponding support pad after the displacement.
  • the distribution initial image is obtained based on the displacement spacer image and the corresponding support pad image to obtain the support ability evaluation results of the spacer and the support pad.
  • the evaluation device further includes a display unit for presenting the support ability evaluation results of the spacer and the support pad in a profile form.
  • Yet another embodiment of the present disclosure provides a computer readable storage medium having stored therein instructions that, when the computer readable storage medium is run on a computer, cause the computer to be described The method of any of the embodiments.
  • FIG. 1 is a flow chart of a method for evaluating support capability of a spacer according to an embodiment of the present disclosure
  • FIG. 2 is a schematic view showing an arrangement image of a spacer and a corresponding support pad according to an embodiment of the present disclosure
  • FIG. 3 is a schematic diagram of performing pixel grayscale processing on a positional arrangement image of a spacer and a corresponding support pad according to an embodiment of the present disclosure
  • FIG. 5 is a schematic diagram of an apparatus for evaluating a support property of a spacer according to an embodiment of the present disclosure
  • FIG. 6 is a distribution diagram of a spacer support capability test in a spacer support capability evaluation device according to an embodiment of the present disclosure.
  • the spacer In order to facilitate the position of the spacer and to exert a better supporting effect, the spacer is disposed above the array substrate through the support pad.
  • the color film substrate and the array substrate are sometimes deformed by force deformation, and the spacer may return to an uncompressed state.
  • the spacer When the spacer is in a compressed state, it is above the support pad on the array substrate. Therefore, when the external force is removed, the spacer cannot be returned to the upper side of the support pad due to the blocking of the support pad on the array substrate, thereby affecting even
  • the stability and uniformity of the cell thickness of the liquid crystal cell are destroyed, and thus the water grain (Mura) defect such as "Gap" can be caused, which has a significant influence on the quality of the display product.
  • Mura water grain
  • an embodiment of the present disclosure provides a method for evaluating a support property of a spacer, which includes the following steps:
  • the gray scale of each pixel in the distribution image and the distribution image of the corresponding support pad is represented by a first value or a second value, the first value being one of the number 1 and the number 0, and the second value being the number 1 and The other of the numbers 0;
  • each element in the first binary matrix corresponds to the septum
  • the value of each element in the first binary matrix is a gray level of a corresponding pixel in the distribution image of the spacer
  • each element in the second binary matrix corresponds to the Each pixel in the distribution image of the support pad
  • the value of each element in the second binary matrix is a gray level of a corresponding pixel in the distribution image of the support pad
  • the spacer described herein can be applied to a liquid crystal display device, and can also be applied to an OLED display device or the like.
  • the spacer and the size of the support pad, the distribution on the substrate, and the shape data may be input at the PC end, and corresponding initial images of the distribution of the spacer and the support pad may be made according to the data, or directly
  • An initial image of the distribution of the spacers and the support pads is made in the design drawing or simulation drawing of the spacer and the support pad.
  • An example of a distribution initial image of the spacer and the support pad is shown in FIG.
  • the image is pixelated.
  • the pixelation division is to display the distribution initial image of the spacer and the distribution initial image of the support pad in pixel form.
  • the image size corresponding to each pixel is no more than 2 um, for example, each pixel is equal to 1 um, such that the distribution initial image of the spacer and the distribution initial image of the support pad are represented in pixel form.
  • the initial image of the distribution of the spacer and the initial image of the distribution of the support pad are respectively subjected to binary gray-scale processing, and the grayscale of the pixel in which the spacer is disposed in the initial image of the distribution of the spacer and the distribution initial image of the support pad are respectively performed.
  • the value is set to 2 n -1 and the remaining pixels are set to 0 (background grayscale), where n is a positive integer.
  • the image of a single spacer is circular, and the single pixel is a relatively small square, and some of the pixels may have a portion of the area as a spacer image and a portion of the area having a background gray level.
  • the pixel gray level of the image edge region of a single spacer is automatically gradually transitioned by a gray scale value between 0 and 2 n -1, so that the single spacer image is still close to a circle after being represented by pixels, achieving a smooth effect.
  • the grayscale value of the pixel in which the spacer is disposed in the distribution initial image of the spacer is set to 255.
  • a distribution image of the spacer and the support pad is obtained.
  • the gray scales of the image pixels of the spacer and the support pad are both 255, which is white; and the rest of the background pixels are taken as 0. It is black. Then convert all the grayscale values into two numbers, 0 and 1, where the grayscale value 0 corresponds to the number 0, the grayscale value 255 corresponds to the number 1, and the grayscale value is in the pixel edge region between 0 and 255.
  • An area having a value greater than a preset value (for example, 150) corresponds to the number 1, and an area smaller than or equal to the preset value (for example, 150) corresponds to the number 0.
  • the distribution matrix gray scale of the spacer is represented by a first binary matrix composed of 0 and 1, respectively, and the distribution image gray scale of the support pad is represented by a second binary matrix composed of 0 and 1, respectively, in the embodiment.
  • the binary matrix means that the value of the elements in the matrix can only be 0 or 1.
  • Each value in the binary matrix represents the grayscale value of each pixel in the image after binary grayscale processing, and each value is in the matrix.
  • the position in the middle is the arrangement position of the corresponding pixels in the image, which simplifies the subsequent calculation and improves the evaluation efficiency.
  • the first binary matrix of the gray scale of the spacer distribution image and the second binary matrix of the gray scale of the support mat distribution image are superimposed.
  • two binary matrices are used to convolve the first binary matrix and the second binary matrix in the spatial domain or to multiply in the frequency domain to complete image multiplication, and obtain an equivalent supporting matrix.
  • Fig. 4 schematically shows an equivalent support matrix obtained by multiplying two binary matrices.
  • the white portion is a gray-scale spacer distribution image and the gray-scale support pad distribution image is formed by multiplying the corresponding positions of the gray-scale values of 255, corresponding to the elements in the equivalent support matrix.
  • the result of multiplying the elements at other positions is the black of the rest, corresponding to the position of the element in the equivalent support matrix of 0.
  • the sum of the number of pixels corresponding to the gray scale value of 1 in the equivalent support matrix is obtained, and the effective number of supported pixels S is obtained, and the ratio S/N of the effective number of supported pixels S to the total number of pixels N in the spacer image is taken as The support ability evaluation results of the spacer and the corresponding support pad.
  • the obtained evaluation result can be output to the terminal device in a graphical form through the display, and an intuitive evaluation result can be obtained.
  • the image of the spacer and the image of the corresponding support pad are relatively displaced (the displacement in different directions and different distances may occur), and the relative displacement is respectively obtained.
  • the initial image of the distribution of the rear spacers and the initial image of the distribution of the corresponding support pads, simulating the displacement of the spacers in different directions in the actual situation, and evaluating whether the support ability is within a certain displacement distance (for example, 40 mils) All meet the requirements, and then the newly obtained distribution image is again pixelated, gray-scaled to form a binary matrix, and finally image superimposed processing, to obtain a plurality of relative displacement of the spacer and support mat support ability evaluation results .
  • FIG. 6 it is a support capacity distribution diagram, wherein the left digits 0-40 represent the distance between the spacer and the corresponding support pad, and the different angles on the circle represent the respective directions of the relative displacement, and the color depth indicates the specific numerical range of the support capability. (See the upper right part in Figure 6), so that the relationship between the offset distance and the supporting ability of the spacer in the deviation of the direction can be seen very intuitively, so that the staff can adjust the arrangement of the spacers.
  • Each spacer is in the position of the maximum support capacity value, which improves the support ability and work efficiency of the spacer.
  • FIG. 5 Another embodiment of the present disclosure provides a spacer support capability evaluation device. As shown in FIG. 5, the support capability of the spacer is evaluated by using the method described in the above embodiment, including: acquiring unit 1, and data.
  • the processing unit 2, the obtaining unit 1 may include a terminal input device and a memory, etc., for acquiring an image of the spacer and an image of the corresponding support pad, that is, the terminal input device may receive the initial image of the distribution of the spacer on the substrate and the corresponding support pad.
  • the initial image is distributed and stored in the memory;
  • the data processing unit 2 is a processor, comprising: a grayscale module 21, a gray matrix acquisition module 22, an image overlay module 23, and a calculation unit 24, wherein the module runs on the terminal device
  • the processor control is a processor, comprising: a grayscale module 21, a gray matrix acquisition module 22, an image overlay module 23, and a calculation unit 24, wherein the module runs on the terminal device
  • the gray-scaled module 21 is configured to perform binary gray-scale processing on the distribution initial image of the spacer and the distribution initial image of the corresponding support pad to obtain a distribution image of the spacer and a distribution image of the corresponding support pad,
  • the distribution image of the spacer and the gray scale of each pixel in the distribution image of the corresponding support pad are represented by a first value or a second value, the first value being one of the number 1 and the number 0, and The second value is the other of the number 1 and the number 0;
  • a gray matrix acquisition module 22 configured to obtain a first binary matrix according to the distribution image of the spacer, and obtain a second binary matrix according to the distribution image of the support pad, wherein the first binary matrix Each element corresponds to each pixel in the distribution image of the spacer, and the value of each element in the first binary matrix is a gray level of a corresponding pixel in the distribution image of the spacer, the second two Each element in the element matrix corresponds to each pixel in the distribution image of the support pad, and the value of each element in the second binary matrix is a gray level of a corresponding pixel in the distribution image of the support pad;
  • the image superimposing module 23 is configured to convolute the first binary matrix and the second binary matrix in a spatial domain or multiply in a frequency domain to obtain an equivalent supporting matrix;
  • a calculating unit 24 configured to calculate a quantity of the element in the equivalent supporting matrix as a first value, to obtain a number of supporting pixels, and the total number of pixels in the distribution image of the spacer and the spacer image The ratio of the numbers is used as a result of the evaluation of the support ability of the spacer and the corresponding support pad.
  • the obtained evaluation result is output to the terminal device in the form of a graph by the display unit 3, and an intuitive evaluation result is obtained.
  • the grayscale module 21 further performs pixel division on the distribution initial image of the spacer and the distribution initial image of the corresponding support pad to obtain a distribution image of the spacer and each pixel in the distribution image of the support pad. . That is, the grayscale module 21 distributes the distribution image of the spacer and the support pad according to the distribution image of the spacer and the area of the distribution image of the support pad, the size of each pixel desired (for example, 1 to 2 micrometers).
  • the distribution image is divided into a plurality of sub-regions (ie, pixels). On this basis, it is possible to identify or determine which pixels have a spacer image or a support pad image.
  • the gray scale can be expressed as, for example, the number 1, and the number 1 can correspond to the grayscale value 2 n -1 (n is a positive integer), for those that do not exist.
  • the pixel image or the pixel of the support pad image may be represented by its gray scale as, for example, a number 0, and the number 0 may correspond to a grayscale value of zero.
  • the gray matrix acquisition module 22 can form the first binary matrix and the second binary matrix relatively easily.
  • the elements in the first binary matrix and the second binary matrix respectively correspond to respective pixels in the distribution image of the spacer and the distribution image of the support pad, and include two elements of a number 1 and a number 0.
  • the number 1 corresponds to a pixel in which the spacer image or the support pad image is included
  • the number 0 corresponds to a pixel in which the spacer image or the support pad image is not included
  • the gray matrix acquisition module 22 obtains
  • the process of the first binary matrix and the second binary matrix is actually a process of re-expressing each pixel in the distribution image of the spacer and the distribution image of the support pad in a matrix including two elements.
  • the processor unit is further configured to generate relative displacement of the image of the spacer relative to the image of the corresponding support pad in different directions and different distances, respectively, to obtain a relative displacement of the spacer image and the support pad image.
  • the processor unit In order to simulate the misalignment of the spacers in different directions in the actual situation, and to evaluate whether the supporting ability satisfies the requirements when the distances are offset within a certain distance (for example, 40um), and then the newly obtained image is pixelated and grayscaled again. A binary matrix is formed, and finally an image superposition process is performed to obtain a plurality of support ability evaluation results for the subsequent spacers and support pads. In this way, the evaluation results can be made more accurate.
  • One embodiment of the present disclosure also provides a computer readable storage medium such as a floppy disk drive, a hard disk drive, a CD-ROM reader, a magneto-optical disk reader, and the like.
  • the computer readable storage medium stores instructions that, when executed on a computer, cause the computer to perform the methods described in the above method embodiments.
  • the present disclosure comprehensively evaluates the support ability of the spacer by obtaining the parameters or design drawings of the spacer to determine the most suitable size and arrangement position of each spacer, and improve the support ability of the spacer.
  • the cell thickness of the liquid crystal cell is kept stable and uniform.

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Abstract

提供了一种隔垫物支撑能力评价方法和装置及计算机可读存储介质，包括获取基板上隔垫物和对应支撑垫的分布初始图像；分别进行二元灰阶化处理得到隔垫物和对应支撑垫的分布图像；根据分布图像得到两个二元矩阵；将两个二元矩阵在空间域中做卷积或在频域中做乘积，得到等效支撑矩阵；计算等效支撑矩阵中元素的值为第一值的元素的数量，得到支撑像素数，将支撑像素数与隔垫物分布图像中像素的总个数的比值作为该隔垫物和对应支撑垫的支撑能力评价结果。通过获取隔垫物的参数或设计图来全面的对隔垫物的支撑能力进行评价，以计算出每个隔垫物最合适的尺寸和位置排布，提高隔垫物的支撑能力，使液晶盒的盒厚保持稳定和均一。

Description

隔垫物支撑能力评价方法和装置及计算机可读存储介质
相关申请的交叉引用
本申请要求于2018年1月15日向中国专利局提交的专利申请201810035923.9的优先权利益，并且在此通过引用的方式将该在先申请的内容并入本文。
技术领域
本公开涉及显示技术领域。更具体地，涉及一种隔垫物支撑能力评价方法和装置及计算机可读存储介质。
背景技术
液晶显示装置是目前平板显示的主流产品，液晶面板是其中重要的部件。液晶面板包括彩膜基板和阵列基板，二者之间设置有液晶。为了保持液晶盒的盒厚(cell gap)在的均一性，防止液晶因受挤压变形而无法正常显示，通常采用的方式可以包括：在阵列基板和彩膜基板之间设置具有弹性回复力的隔垫物(Post Spacer，PS)，当隔垫物处于压缩状态并起到支撑液晶盒的作用时，可以使得液晶盒的盒厚保持稳定和均一。
发明内容
本公开的实施例提供了一种隔垫物支撑能力评价方法，包括：获取基板上隔垫物的分布初始图像和对应支撑垫的分布初始图像；分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理以得到隔垫物的分布图像和对应支撑垫的分布图像，所述隔垫物的分布图像和对应支撑垫的分布图像中的各像素的灰阶以第一值或第二值表示，所述第一值为数字1和数字0中的一个，所述第二值为数字1和数字0中的另一个；根据所述隔垫物的分布图像得到第一二元矩阵，根据所述支撑垫的分布图像得到第二二元矩阵，所述第一二元矩阵中各个元素分别对应于所述隔垫物的分布图像中各个像素，所述第一二元矩阵中各个元素的值为所述隔垫物的分布图像中对应像素的灰阶，所述第二二元矩阵中各个元素分别对应于所述支撑垫的分 布图像中各个像素，所述第二二元矩阵中各个元素的值为所述支撑垫的分布图像中对应像素的灰阶；将所述第一二元矩阵和第二二元矩阵在空间域中做卷积或在频域中做乘积，得到等效支撑矩阵；计算所述等效支撑矩阵中元素的值为第一值的元素的数量，得到支撑像素数，将所述支撑像素数与所述隔垫物的分布图像中像素的总个数的比值作为该隔垫物和对应支撑垫的支撑能力评价结果。
在一些实施例中，所述获取基板上隔垫物的分布初始图像和对应支撑垫的分布初始图像的步骤包括：获取隔垫物和对应支撑垫的尺寸、在基板上的位置排布以及形状，并根据所述尺寸、在基板上的位置排布以及形状获取隔垫物的分布初始图像和对应支撑垫的分布初始图像。
在一些实施例中，所述方法还包括：在分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理的步骤之前，对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行像素划分。
在一些实施例中，所述分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理的步骤包括：将灰阶值2 n-1赋予所述隔垫物的分布初始图像中设置有隔垫物的像素，将灰阶值0赋予所述隔垫物的分布初始图像中未设置有隔垫物的像素，将灰阶值2 n-1赋予所述支撑垫的分布初始图像中设置有支撑垫的像素，将灰阶值0赋予支撑垫的分布初始图像中未设置有支撑垫的像素，灰阶值2 n-1对应于所述数字1。
在一些实施例中，所述分别对所述隔垫物的分布初始图像和支撑垫的分布初始图像进行二元灰阶化处理的步骤包括：将灰阶值0至2 n-1赋予隔垫物的分布初始图像中单个隔垫物图像边缘区域的像素，并且，将所述隔垫物的分布初始图像中灰阶大于预设值的像素以第一值表示该像素灰阶，将灰阶小于预设值的像素以第二值表示该像素灰阶，以得到所述隔垫物的分布图像；将灰阶值0至2 n-1赋予支撑垫的分布初始图像中单个支撑垫图像边缘区域的像素，并且，在所述支撑垫的分布初始图像中将灰阶大于预设值的像素以第一值表示该像素灰阶，将灰阶小于预设值的像素以第二值表示该像素灰阶，以得到所述对应支撑垫的分布图像。
在一些实施例中，隔垫物的分布初始图像和对应支撑垫的分布初 始图像中每个像素的尺寸为1～2微米。
在一些实施例中，该方法进一步包括：使得所述隔垫物图像相对于所述支撑垫图像发生不同方向和不同距离的位移，得到位移后隔垫物的分布初始图像和支撑垫的分布初始图像，根据位移后隔垫物图像和支撑垫图像得到隔垫物和支撑垫的支撑能力评价结果。
在一些实施例中，该方法进一步包括以分布图形式呈现所述隔垫物和支撑垫的支撑能力评价结果。
本公开的另外的实施例提供了一种隔垫物支撑能力评价装置，包括获取单元、数据处理单元。获取单元用于获取基板上隔垫物的分布初始图像和对应支撑垫的分布初始图像；数据处理单元包括灰阶化模块、灰阶矩阵获取模块、图像叠加模块、计算单元。灰阶化模块，用于分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理以得到隔垫物的分布图像和对应支撑垫的分布图像，其中，所述隔垫物的分布图像和对应支撑垫的分布图像中的各像素的灰阶以第一值或第二值表示，所述第一值为数字1和数字0中的一个，所述第二值为数字1和数字0中的另一个；灰阶矩阵获取模块，用于根据所述隔垫物的分布图像得到第一二元矩阵，根据所述支撑垫的分布图像得到第二二元矩阵，其中，所述第一二元矩阵中各个元素分别对应于所述隔垫物的分布图像中各个像素，所述第一二元矩阵中各个元素的值为所述隔垫物的分布图像中对应像素的灰阶，所述第二二元矩阵中各个元素分别对应于所述支撑垫的分布图像中各个像素，所述第二二元矩阵中各个元素的值为所述支撑垫的分布图像中对应像素的灰阶；图像叠加模块，用于将所述第一二元矩阵和第二二元矩阵在空间域中做卷积或在频域中做乘积，得到等效支撑矩阵；计算单元，用于计算对所述等效支撑矩阵中元素的值为第一值的数量，得到支撑像素数，将所述支撑像素数与所述隔垫物的分布图像中像素的总个数的比值作为该隔垫物和对应支撑垫的支撑能力评价结果。
在一些实施例中，所述获取单元获取隔垫物和对应支撑垫的尺寸、在基板上的位置排布以及形状，并根据所述尺寸、在基板上的位置排布以及形状获取隔垫物的分布初始图像和对应支撑垫的分布初始图像。
在一些实施例中，灰阶化模块还被配置成对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行像素划分，以得到所述隔垫 物的分布图像和对应支撑垫的分布图像中的各像素。
在一些实施例中，灰阶化模块分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理包括：将灰阶值2 n-1赋予所述隔垫物的分布初始图像中设置有隔垫物的像素，将将灰阶值0赋予所述隔垫物的分布初始图像中未设置有隔垫物的像素0，将灰阶值2 n-1赋予所述支撑垫的分布初始图像中设置有支撑垫的像素，将灰阶值0赋予支撑垫的分布初始图像中未设置有支撑垫的像素，灰阶值2 n-1对应于所述数字1。
在一些实施例中，所述灰阶化模块分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理还包括：将灰阶值0至2 n-1赋予隔垫物的分布初始图像中单个隔垫物图像边缘区域的像素，并且，将所述隔垫物的分布初始图像中灰阶大于预设值的像素以第一值表示该像素灰阶，将灰阶小于预设值的像素以第二值表示该像素灰阶以得到所述隔垫物的分布图像；将灰阶值0至2 n-1赋予支撑垫的分布初始图像中单个支撑垫图像边缘区域的像素，并且，在所述支撑垫的分布初始图像中将灰阶大于预设值的像素以第一值表示该像素灰阶，将灰阶小于预设值的像素以第二值表示该像素灰阶以得到所述对应支撑垫的分布图像。
在一些实施例中，隔垫物的分布初始图像和对应支撑垫的分布初始图像中每个像素的尺寸为1～2微米。
在一些实施例中，所述数据处理单元还被配置成将基板上隔垫物图像相对于支撑垫图像发生不同方向和不同距离的位移，得到位移后隔垫物的分布初始图像和对应支撑垫的分布初始图像，根据位移后隔垫物图像和对应支撑垫图像得到隔垫物和支撑垫的支撑能力评价结果。
在一些实施例中，评价装置进一步包括显示单元，用于以分布图形式呈现所述隔垫物和支撑垫的支撑能力评价结果。
本公开的又一另外实施例提供了一种计算机可读存储介质，所述计算机可读存储介质中存储有指令，当所述计算机可读存储介质在计算机上运行时，使得所述计算机前述方法实施例中任一实施例所述的方法。
附图说明
下面结合附图对本公开的具体实施方式作进一步详细的说明；
图1为本公开一个实施例隔垫物支撑能力评价方法流程图；
图2为本公开一个实施例隔提供的隔垫物和对应支撑垫位置排布图像示意图；
图3为本公开一个实施例对隔垫物和对应支撑垫位置排布图像进行像素灰阶化处理后的示意图；
图4为本公开一个实施例提供的等效支撑矩阵示意图；
图5为本公开一个实施例隔垫物支撑能力评价装置示意图；
图6为本公开一个实施例隔垫物支撑能力评价装置中隔垫物支撑能力测试分布图。
具体实施方式
下面结合实施例和附图对本公开做进一步的说明。附图中相似的部件以相同的附图标记进行表示。本领域技术人员应当理解，下面所具体描述的内容是说明性的而非限制性的，不应以此限制本申请的保护范围。
为了便于固定隔垫物的位置、发挥更好的支撑效果，隔垫物通过支撑垫设置在阵列基板上方。但是在实际使用过程中，彩膜基板和阵列基板有时会受力形变发生错位，隔垫物可能恢复至非压缩状态。当隔垫物处于压缩状态时，其处于阵列基板上的支撑垫的上方，因此，当外力去除时，隔垫物由于阵列基板上支撑垫的阻挡无法再次回到支撑垫的上方，从而影响甚至破坏了液晶盒的盒厚的稳定性和均一性，并由此可引发“黑间隙(Gap)”等水纹(Mura)不良现象，对显示产品的品质产生重大影响。
如图1所示，本公开一个实施例提供了一种隔垫物支撑能力评价方法，其包括如下步骤：
获取基板上隔垫物的分布初始图像和对应支撑垫的分布初始图像；
分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理以得到隔垫物的分布图像和对应支撑垫的分布图像，其中，所述隔垫物的分布图像和对应支撑垫的分布图像中的各像素的灰阶以第一值或第二值表示，所述第一值为数字1和数字0中的一个，所述第二值为数字1和数字0中的另一个；
根据所述隔垫物的分布图像得到第一二元矩阵，根据所述支撑垫的分布图像得到第二二元矩阵，其中，所述第一二元矩阵中各个元素分别对应于所述隔垫物的分布图像中各个像素，所述第一二元矩阵中各个元素的值为所述隔垫物的分布图像中对应像素的灰阶，所述第二二元矩阵中各个元素分别对应于所述支撑垫的分布图像中各个像素，所述第二二元矩阵中各个元素的值为所述支撑垫的分布图像中对应像素的灰阶；
将所述第一二元矩阵和第二二元矩阵做乘积，得到等效支撑矩阵；
计算等效支撑矩阵中元素的值为第一值的元素的数量，得到支撑像素数，将所述支撑像素数与所述隔垫物的分布图像中像素的总个数的比值作为该隔垫物和对应支撑垫的支撑能力评价结果。
这里所述的隔垫物可以应用于液晶显示装置，也可以应用于OLED显示装置等。
在一些实施例中，可在PC端输入隔垫物及支撑垫尺寸、在基板上的分布以及形状数据，根据这些数据做出对应的隔垫物及支撑垫的分布初始图像，也可直接将隔垫物及支撑垫的设计图纸或模拟图输入终端设备中做出隔垫物及支撑垫的分布初始图像。隔垫物及支撑垫的分布初始图像的示例如图2所示。
在制作出隔垫物及支撑垫的分布初始图像之后，对图像进行像素化划分，像素化划分是将隔垫物的分布初始图像和支撑垫的分布初始图像以像素形式表示。在一些实施例中，每个像素对应的图像尺寸不大于2um，例如，每个像素等于1um，这样，就将隔垫物的分布初始图像和支撑垫的分布初始图像以像素形式表示出来。
分别对隔垫物的分布初始图像和支撑垫的分布初始图像进行二元灰阶化处理，将隔垫物的分布初始图像和支撑垫的分布初始图像中设置有隔垫物的像素的灰阶值设置为2 n-1，其余像素灰阶设为0(背景灰阶)，其中n为正整数。在一些实施例中，单个隔垫物的图像为圆形，而单个像素为相对较小的正方形，此某些像素会出现一部分区域为隔垫物图像，一部分区域具有背景灰阶，此时可将单个隔垫物的图像边缘区域的像素灰阶以0至2 n-1间的灰阶值自动渐变过渡表示，使该单个隔垫物图像以像素表示后仍然接近于圆形，达到圆滑的效果。在一些实施例中，将隔垫物的分布初始图像中设置有隔垫物的像素的灰阶 值设置为255。
对隔垫物的分布初始图像和支撑垫的分布初始图像进行二元灰阶化处理后，得到隔垫物和支撑垫的分布图像。在一个示例中，如图3所示，在隔垫物和支撑垫的分布图像中，隔垫物和支撑垫的图像像素灰阶均取255，为白色；其余背景像素灰阶均取0，为黑色。然后将全部灰阶值转换为0和1两个数，其中灰阶值0对应数字0，灰阶值255对应数字1，对于灰阶值在0-255之间的像素边缘区域，取灰阶值大于预设值(例如，150)的区域对应数字1，小于等于所述预设值(例如，150)的区域对应数字0。替代性地，也可以设置灰阶值0对应数字1，灰阶值255对应数字0，这样分布图像中的每个像素就以0或1来表示其灰阶。
将隔垫物的分布图像灰阶分别由0和1组成的第一二元矩阵表示，将支撑垫的分布图像灰阶分别由0和1组成的第二二元矩阵表示，本实施例中的二元矩阵是指矩阵中的元素的值只能是0或1，二元矩阵中的每个值代表经二元灰阶化处理后的图像中每个像素灰阶值，每个值在矩阵中的位置是对应的像素在图像中的排列位置，简化了后续的计算，提高评价效率。
将隔垫物分布图像灰阶的第一二元矩阵和支撑垫分布图像灰阶的第二二元矩阵叠加。例如，将两个二元矩阵将第一二元矩阵和第二二元矩阵在空间域中做卷积或者在频域中做乘积，完成图像相乘，得到等效支撑矩阵。图4示意性地示出了两个二元矩阵做乘积而得到的等效支撑矩阵。
在该实施例中，隔垫物和对应支撑垫的分布图像灰阶的二元矩阵中同一位置的元素的值都为1时，计算得到的等效支撑矩阵中相应位置的元素值为1，若其中一个矩阵中某一位置的元素的值为0，而另一个矩阵中对应位置的元素值为1时，相乘得到的结果仍然是0，说明此时该位置处的隔垫物和对应的支撑垫并没有对位，所以等效支撑矩阵相应的值也应该显示为0。从图4中看出，白色部分为灰阶化的隔垫物分布图像和灰阶化的支撑垫分布图像中灰阶值都为255的像素对应位置相乘形成，对应等效支撑矩阵中元素值为1的位置，其他位置的元素相乘得到的结果为其余部分的黑色，对应等效支撑矩阵中元素值为0的位置。
对等效支撑矩阵中对应的灰阶值为1的像素个数求和，得到有效的支撑像素数S，有效的支撑像素数S与隔垫物图像中总像素数N的比值S/N作为该隔垫物和对应支撑垫的支撑能力评价结果。
可以将得出的评价结果通过显示器以图表形式输出至终端设备，得到直观的评价结果。
在另外的实施例中，为了使测量的评价结果更为准确，让隔垫物的图像和对应支撑垫的图像发生一定的相对位移(可以发生不同方向和不同距离的位移)，分别得到相对位移后隔垫物的分布初始图像和对应支撑垫的分布初始图像，模拟实际情况中隔垫物不同方向的移位大小，评估各方向上一定移位距离(例如，错位40um)以内时支撑能力是否都满足需求，然后将新得到的分布图像再次进行像素化处理、灰阶化处理形成二元矩阵、最后进行图像叠加处理，得到多个相对位移后的隔垫物和支撑垫的支撑能力评价结果。
如图6所示，为支撑能力分布图，其中左边数字0～40表示隔垫物与对应支撑垫相对位移的距离，圆上面不同角度代表相对位移的各个方向，颜色深浅表示支撑能力具体数值范围(参见图6中的右上部分)，这样就可以非常直观地看出隔垫物在各个方向的偏移情况下偏移距离与支撑能力的关系，便于工作人员调整隔垫物的排布，使每个隔垫物都处于最大支撑能力数值的位置，提高隔垫物的支撑能力和工作效率。
本公开的另一实施例提供了一种隔垫物支撑能力评价装置，如图5所示，运用上述实施例所述的方法对隔垫物的支撑能力进行评价，包括：获取单元1、数据处理单元2，获取单元1可以包括终端输入设备和存储器等，用于获取隔垫物的图像和对应支撑垫的图像，即终端输入设备可以接收基板上隔垫物的分布初始图像和对应支撑垫的分布初始图像并将它们存储在存储器中；数据处理单元2为处理器，包括：灰阶化模块21、灰阶矩阵获取模块22、图像叠加模块23、计算单元24，上述模块运行在终端设备上，由处理器控制完成对垫物的支撑能力进行评价。
灰阶化模块21，用于分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理以得到隔垫物的分布图像和对应支撑垫的分布图像，其中，所述隔垫物的分布图像和对应支撑垫的分布图像中的各像素的灰阶以第一值或第二值表示，所述第一值为 数字1和数字0中的一个，且第二值为数字1和数字0中的另一个；
灰阶矩阵获取模块22，用于根据所述隔垫物的分布图像得到第一二元矩阵，根据所述支撑垫的分布图像得到第二二元矩阵，其中，所述第一二元矩阵中各个元素分别对应于所述隔垫物的分布图像中各个像素，所述第一二元矩阵中各个元素的值为所述隔垫物的分布图像中对应像素的灰阶，所述第二二元矩阵中各个元素分别对应于所述支撑垫的分布图像中各个像素，所述第二二元矩阵中各个元素的值为所述支撑垫的分布图像中对应像素的灰阶；
图像叠加模块23，用于将所述第一二元矩阵和第二二元矩阵在空间域中做卷积或在频域中做乘积，得到等效支撑矩阵；
计算单元24，用于计算对所述等效支撑矩阵中元素的值为第一值的数量，得到支撑像素数，将所述支撑像素数与所述隔垫物的分布图像中像素的总个数的比值作为该隔垫物和对应支撑垫的支撑能力评价结果。
最后，将得出的评价结果通过显示单元3以图表形式输出至终端设备，得到直观的评价结果。
在一个实施例中，灰阶化模块21还对隔垫物的分布初始图像和对应支撑垫的分布初始图像进行像素划分，以得到隔垫物的分布图像和支撑垫的分布图像中的各像素。也就是说，灰阶化模块21根据隔垫物的分布图像和支撑垫的分布图像的面积、期望的每个像素的尺寸(例如，1～2微米)将隔垫物的分布图像和支撑垫的分布图像划分成多个子区域(即，像素)。在此基础上，可以识别或确定出哪些像素存在隔垫物图像或支撑垫图像。对于那些完全填充有隔垫物图像或支撑垫图像的像素，可将其灰阶表示为例如数字1，数字1可对应于灰阶值2 n-1(n为正整数)，对于那些不存在隔垫物图像或支撑垫图像的像素，可将其灰阶表示为例如数字0，数字0可对应于灰阶值0。
在此基础上，灰阶矩阵获取模块22可以较容易地形成所述第一二元矩阵和第二二元矩阵。例如，第一二元矩阵和第二二元矩阵中的元素分别对应于隔垫物的分布图像和支撑垫的分布图像中的各个像素，且至包括数字1和数字0两种元素。在一些实施例中，数字1对应于其中包含隔垫物图像或支撑垫图像的像素，数字0对应于其中不包含隔垫物图像或支撑垫图像的像素，因此，灰阶矩阵获取模块22获得第 一二元矩阵和第二二元矩阵的过程实际上就是对隔垫物的分布图像和支撑垫的分布图像中的各像素以包括两种元素的矩阵进行重新表达的过程。
在另外的实施例中，处理器单元还被配置成将隔垫物的图像相对于对应支撑垫的图像发生不同方向和不同距离的相对位移，分别得到相对位移后隔垫物图像和支撑垫图像，从而模拟实际情况中隔垫物不同方向的错位，评估各方向上错位一定距离(例如40um)以内时支撑能力是否都满足需求，然后将新得到的图像再次进行像素化处理、灰阶化处理形成二元矩阵、最后进行图像叠加处理，得到多个相对为以后的隔垫物和支撑垫的支撑能力评价结果。这样，可以使得评价结果更为准确。
本公开的一个实施例还提供了一种计算机可读存储介质，如软盘驱动器，硬盘驱动器，CD-ROM读取器，磁光盘读取器等。计算机可读存储介质中存储有指令，当计算机可读存储介质在计算机上运行时，使得计算机执行上述方法实施例中所述的方法。
本公开通过获取隔垫物的参数或设计图来全面的对隔垫物的支撑能力进行评价测试，以确定每个隔垫物最合适的尺寸和排布位置，提高隔垫物的支撑能力，有利于液晶盒的盒厚保持稳定和均一。
显然，上述实施例仅仅是为清楚地说明本公开所作的举例，而并非是对本公开的实施方式的限定，对于所属领域的普通技术人员来说，在上述说明的基础上还可以做出其它不同形式的变化或变动，这里无法对所有的实施方式予以穷举，凡是属于本公开的技术方案所引伸出的显而易见的变化或变动仍处于本申请的保护范围之列。

Claims (17)

  1. 一种隔垫物支撑能力评价方法，包括：
    获取基板上隔垫物的分布初始图像和对应支撑垫的分布初始图像；
    分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理以得到隔垫物的分布图像和对应支撑垫的分布图像，其中，所述隔垫物的分布图像和对应支撑垫的分布图像中的各像素的灰阶以第一值或第二值表示，所述第一值为数字1和数字0中的一个，所述第二值为数字1和数字0中的另一个；
    根据所述隔垫物的分布图像得到第一二元矩阵，根据所述支撑垫的分布图像得到第二二元矩阵，其中，所述第一二元矩阵中各个元素分别对应于所述隔垫物的分布图像中各个像素，所述第一二元矩阵中各个元素的值为所述隔垫物的分布图像中对应像素的灰阶，所述第二二元矩阵中各个元素分别对应于所述支撑垫的分布图像中各个像素，所述第二二元矩阵中各个元素的值为所述支撑垫的分布图像中对应像素的灰阶；
    将所述第一二元矩阵和第二二元矩阵在空间域中做卷积或在频域中做乘积，得到等效支撑矩阵；
    计算所述等效支撑矩阵中元素的值为第一值的元素的数量，得到支撑像素数，将所述支撑像素数与所述隔垫物的分布图像中像素的总个数的比值作为该隔垫物和对应支撑垫的支撑能力评价结果。
  2. 根据权利要求1所述的评价方法，其中所述获取基板上隔垫物的分布初始图像和对应支撑垫的分布初始图像的步骤包括：获取隔垫物和对应支撑垫的尺寸、在基板上的位置排布以及形状，并根据所述尺寸、在基板上的位置排布以及形状获取隔垫物的分布初始图像和对应支撑垫的分布初始图像。
  3. 根据权利要求1所述的评价方法，其中所述方法还包括：
    在分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理的步骤之前，对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行像素划分。
  4. 根据权利要求3所述的评价方法，其中所述分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理的 步骤包括：将灰阶值2 n-1赋予所述隔垫物的分布初始图像中设置有隔垫物的像素，将所述隔垫物的分布初始图像中未设置有隔垫物的像素的灰阶值设置为0，将所述对应支撑垫的分布初始图像中将设置有支撑垫的像素的灰阶值设置为2 n-1，将支撑垫的分布初始图像中未设置有支撑垫的像素的灰阶值设置为0，灰阶值2 n-1对应于所述数字1。
  5. 根据权利要求4所述的评价方法，其中所述分别对所述隔垫物的分布初始图像和支撑垫的分布初始图像进行二元灰阶化处理的步骤包括：将灰阶值0至2 n-1中的任一值赋予隔垫物的分布初始图像中单个隔垫物图像边缘区域的像素，并且，将所述隔垫物的分布初始图像中灰阶大于预设值的像素以第一值表示该像素灰阶，将灰阶小于预设值的像素以第二值表示该像素灰阶，以得到所述隔垫物的分布图像；
    将灰阶值0至2 n-1中的任一值赋予支撑垫的分布初始图像中单个支撑垫图像边缘区域的像素，并且，在所述支撑垫的分布初始图像中将灰阶大于预设值的像素以第一值表示该像素灰阶，将灰阶小于预设值的像素以第二值表示该像素灰阶，以得到所述对应支撑垫的分布图像。
  6. 根据权利要求3所述的评价方法，其中所述隔垫物的分布初始图像和对应支撑垫的分布初始图像中每个像素的尺寸为1～2微米。
  7. 根据权利要求1所述的评价方法，其中该方法进一步包括：使得所述隔垫物图像相对于所述支撑垫图像发生不同方向和不同距离的位移，得到位移后隔垫物的分布初始图像和支撑垫的分布初始图像，根据位移后隔垫物图像和支撑垫图像得到隔垫物和支撑垫的支撑能力评价结果。
  8. 根据权利要求7所述的评价方法，其中该方法进一步包括以分布图形式呈现所述隔垫物和支撑垫的支撑能力评价结果。
  9. 一种隔垫物支撑能力评价装置，包括获取单元、数据处理单元，其中：
    所述获取单元用于获取基板上隔垫物的分布初始图像和对应支撑垫的分布初始图像；
    所述数据处理单元包括灰阶化模块、灰阶矩阵获取模块、图像叠加模块、计算单元，其中：
    灰阶化模块，用于分别对所述隔垫物的分布初始图像和对应支撑 垫的分布初始图像进行二元灰阶化处理以得到隔垫物的分布图像和对应支撑垫的分布图像，其中，所述隔垫物的分布图像和对应支撑垫的分布图像中的各像素的灰阶以第一值或第二值表示，所述第一值为数字1和数字0中的一个，所述第二值为数字1和数字0中的另一个；
    灰阶矩阵获取模块，用于根据所述隔垫物的分布图像得到第一二元矩阵，根据所述支撑垫的分布图像得到第二二元矩阵，其中，所述第一二元矩阵中各个元素分别对应于所述隔垫物的分布图像中各个像素，所述第一二元矩阵中各个元素的值为所述隔垫物的分布图像中对应像素的灰阶，所述第二二元矩阵中各个元素分别对应于所述支撑垫的分布图像中各个像素，所述第二二元矩阵中各个元素的值为所述支撑垫的分布图像中对应像素的灰阶；
    图像叠加模块，用于将所述第一二元矩阵和第二二元矩阵在空间域中做卷积或在频域中做乘积，得到等效支撑矩阵；
    计算单元，用于计算对所述等效支撑矩阵中元素的值为第一值的数量，得到支撑像素数，将所述支撑像素数与所述隔垫物的分布图像中像素的总个数的比值作为该隔垫物和对应支撑垫的支撑能力评价结果。
  10. 根据权利要求9所述的隔垫物支撑能力评价装置，其中所述获取单元获取隔垫物和对应支撑垫的尺寸、在基板上的位置排布以及形状，并根据所述尺寸、在基板上的位置排布以及形状获取隔垫物的分布初始图像和对应支撑垫的分布初始图像。
  11. 根据权利要求9所述的隔垫物支撑能力评价装置，其中所述灰阶化模块还被配置成对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行像素划分，以得到所述隔垫物的分布图像和对应支撑垫的分布图像中的各像素。
  12. 根据权利要求11所述的隔垫物支撑能力评价装置，其中所述灰阶化模块分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理包括：将所述隔垫物的分布初始图像中设置有隔垫物的像素的灰阶值设置为2 n-1，将所述隔垫物的分布初始图像中未设置有隔垫物的像素的灰阶值设置为0，将所述支撑垫的分布初始图像中设置有支撑垫的像素的灰阶值设置为2 n-1，将支撑垫的分布初始图像中未设置有支撑垫的像素的灰阶值设置为0，灰阶值2 n-1对 应于所述数字1。
  13. 根据权利要求10所述的隔垫物支撑能力评价装置，其中所述灰阶化模块分别对所述隔垫物的分布初始图像和对应支撑垫的分布初始图像进行二元灰阶化处理还包括：将灰阶值0至2 n-1中的任一值赋予隔垫物的分布初始图像中单个隔垫物图像边缘区域的像素，并且，将所述隔垫物的分布初始图像中灰阶大于预设值的像素以第一值表示该像素灰阶，将灰阶小于预设值的像素以第二值表示该像素灰阶以得到所述隔垫物的分布图像；将灰阶值0至2 n-1中的任一值赋予支撑垫的分布初始图像中单个支撑垫图像边缘区域的像素，并且，在所述支撑垫的分布初始图像中将灰阶大于预设值的像素以第一值表示该像素灰阶，将灰阶小于预设值的像素以第二值表示该像素灰阶以得到所述对应支撑垫的分布图像。
  14. 根据权利要求11所述的隔垫物支撑能力评价装置，其中所述隔垫物的分布初始图像和对应支撑垫的分布初始图像中每个像素的尺寸为1～2微米。
  15. 根据权利要求9所述的隔垫物支撑能力评价装置，其中所述数据处理单元还被配置成将基板上隔垫物图像相对于支撑垫图像发生不同方向和不同距离的位移，得到位移后隔垫物的分布初始图像和对应支撑垫的分布初始图像，根据位移后隔垫物图像和对应支撑垫图像得到隔垫物和支撑垫的支撑能力评价结果。
  16. 根据权利要求15所述的隔垫物支撑能力评价装置，其中所述评价装置进一步包括显示单元，用于以分布图形式呈现所述隔垫物和支撑垫的支撑能力评价结果。
  17. 一种计算机可读存储介质，所述计算机可读存储介质中存储有指令，当所述计算机可读存储介质在计算机上运行时，使得所述计算机执行权利要求1-8中任一项所述的方法。
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