WO2018028012A1 - 一种显示屏残影检测系统及方法 - Google Patents

一种显示屏残影检测系统及方法 Download PDF

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WO2018028012A1
WO2018028012A1 PCT/CN2016/098169 CN2016098169W WO2018028012A1 WO 2018028012 A1 WO2018028012 A1 WO 2018028012A1 CN 2016098169 W CN2016098169 W CN 2016098169W WO 2018028012 A1 WO2018028012 A1 WO 2018028012A1
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display screen
regions
area
energy value
obtaining
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English (en)
French (fr)
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王艳雪
陈黎暄
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TCL China Star Optoelectronics Technology Co Ltd
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Shenzhen China Star Optoelectronics Technology Co Ltd
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Priority to US15/303,075 priority Critical patent/US10419748B2/en
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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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/04—Diagnosis, testing or measuring for television systems or their details for receivers
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20021—Dividing image into blocks, subimages or windows
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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

Definitions

  • the present invention relates to the field of display technologies, and in particular, to a screen residual image detecting system and method.
  • the liquid crystal panel When designing the LCD panel, image sticking is performed on the liquid crystal panel, that is, the liquid crystal panel stays on a screen (such as a checkerboard screen) for more than 100 hours. After changing the display content, the previous screen is observed. The degree of residue.
  • the basis for detecting the afterimage is based on the JND (Just noticeable difference) model, which is subjectively high.
  • the technical problem to be solved by the present invention is to provide a screen residual image detecting system and method, which can objectively and effectively evaluate the severity of local residual images of a display screen.
  • a technical solution adopted by the present invention is to provide a method for detecting a residual image of a display screen, comprising: obtaining a display screen image of an image to be detected; and displaying the display screen in the display image.
  • the picture portion is equally divided into at least two identical regions; one of the at least two of the regions is used as a reference region, and an area checkerboard picture is drawn according to the size of the reference area; the area checkerboard picture and the display are
  • Each of the regions of the picture portion is separately subjected to Fourier transform, and the characteristic frequencies of the residual images of the respective regions and the first spectral energy values corresponding to the respective spectral structures are obtained, and the reference frequency of each of the regions is additionally obtained.
  • a second spectral energy value in the domain structure obtaining a ratio of the first spectral energy value corresponding to each of the regions to the second spectral energy value; obtaining a largest ratio of the ratios corresponding to each of the regions; Whether the maximum ratio exceeds the range of values corresponding to the corresponding test, and if it exceeds the numerical range, it is judged as unqualified, otherwise Grid;
  • the dividing the display screen portion of the display screen into at least two regions having the same area includes: dividing the display screen portion of the display screen into at least two regions having the same area and the same shape.
  • dividing the display screen portion of the display screen into at least two regions having the same area, the same shape, and partially overlapping includes: dividing the display screen portion of the display screen into non-overlapping and a first rectangular area having the same area and the same shape; on the basis of the first rectangular area, continuing to overlap between the two adjacent first rectangular areas and between the four first rectangular areas A second rectangular area having the same area and the same shape.
  • the reference frequency is zero frequency.
  • another technical solution adopted by the present invention is to provide a method for detecting a residual image of a display screen, comprising: obtaining a display screen image of an image to be detected; and displaying the display screen in the display image
  • the display screen portion is equally divided into at least two identical regions; one of the at least two of the regions is used as a reference region, and an area checkerboard screen is drawn according to the size of the reference region; the regional checkerboard screen and the
  • Each of the regions of the display picture portion is respectively subjected to Fourier transform, and the characteristic frequencies of the residual images of the respective regions and the first spectral energy values corresponding to the respective spectral structures are obtained, and the reference frequencies of the respective regions are additionally obtained.
  • a second spectral energy value in the frequency domain structure obtaining a ratio of the first spectral energy value corresponding to each of the regions to the second spectral energy value.
  • the method further includes: obtaining a maximum ratio of the ratios corresponding to the respective regions; determining whether the largest ratio exceeds a value range corresponding to the corresponding detection, and if the value range is exceeded, determining that the component is unqualified; To be qualified.
  • the dividing the display screen portion of the display screen into at least two regions having the same area includes: dividing the display screen portion of the display screen into at least two regions having the same area and the same shape.
  • the dividing the display screen portion of the display screen into at least two regions having the same area, the same shape, and partially overlapping includes: dividing the display screen portion of the display screen into non-overlapping regions having the same area and the same shape. a first rectangular area; on the basis of the first rectangular area, continuing to overlap between the two adjacent first rectangular areas and between the four first rectangular areas, and having the same area and the same shape The second rectangular area.
  • the reference frequency is zero frequency.
  • a display screen residual image detecting system comprising: an obtaining device for obtaining a display screen image of an image to be detected; and a dividing device for The display screen portion of the display screen in the display screen image is equally divided into at least two identical regions; drawing means for drawing one of the at least two regions as a reference region, and drawing the size of the reference region a regional checkerboard screen; an arithmetic device, configured to perform Fourier transform on each of the area of the checkerboard screen and the display screen portion, to obtain a characteristic frequency of each of the residual images of the area and corresponding to each a first spectral energy value in the spectral structure, additionally obtaining each of the The second spectral energy value of the reference frequency of the region in the frequency domain structure further obtains a ratio of the first spectral energy value and the second spectral energy value corresponding to each of the regions.
  • the operation device further includes: an obtaining unit, configured to obtain a maximum ratio of the ratios corresponding to the respective regions; and a determining unit, configured to determine whether the largest ratio exceeds a value range corresponding to the corresponding detection; And means, when the determining unit determines that the value range is exceeded, it is determined to be unqualified, otherwise it is qualified.
  • the dividing device specifically divides the display screen portion of the display screen into at least two regions having the same area and the same shape.
  • the dividing device divides the display screen portion of the display screen into a first rectangular region that does not overlap, has the same area, and has the same shape, and continues to be adjacent to the two adjacent regions on the basis of the first rectangular region. Between the first rectangular regions and between the four first rectangular regions, a second rectangular region that overlaps each other and has the same area and the same shape is divided.
  • the reference frequency is zero frequency.
  • the invention has the beneficial effects that the display screen residual image detecting system and method have the following steps: firstly obtaining the display screen image of the residual image to be detected, and then displaying the image in the display screen.
  • the display screen portion of the display screen is equally divided into at least two identical regions, and then one of the at least two regions is used as a reference region, and the regional checkerboard screen is drawn according to the size of the reference region, and the regional checkerboard screen and the display screen portion are further
  • Each region is separately subjected to Fourier transform to obtain the characteristic frequencies of the residual images of the respective regions and the first spectral energy values corresponding to the respective spectral structures, and to obtain the second spectral energy of the reference frequency of each region in the frequency domain structure.
  • the value finally obtains the ratio of the first spectral energy value corresponding to each region to the second spectral energy value.
  • the invention processes the local image frequency domain structure, and can objectively and effectively evaluate the severity of the local residual image of the display image.
  • FIG. 1 is a flowchart of a method for detecting a residual image of a display screen according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of the first five regions when the display screen portion of the display screen is divided into 9 regions;
  • 3 is a schematic diagram of four regions after the display screen portion of the display screen is divided into 9 regions;
  • Figure 4 is an area checkerboard picture drawn according to the size of the reference area
  • FIG. 5 is a schematic structural diagram of a screen residual image detecting system according to an embodiment of the present invention.
  • FIG. 1 is a flowchart of a method for detecting a residual image of a display screen according to an embodiment of the present invention. As shown in FIG. 1, the method of this embodiment includes the following steps:
  • Step S1 Obtain a display screen image of the afterimage to be detected.
  • an image acquisition tool such as a camera obtains a 128 gray scale display screen image subjected to an IS experiment using a standard photographing method.
  • the measuring distance is 3 times the width of the display screen, and the measuring direction is perpendicular to the plane of the display screen;
  • Camera parameters ISO100; color space sRGB; flash off; auto brightness: off; white balance offset/surround: 0,0/ ⁇ 0; red-eye reduction on/off: disabled; autofocus mode: real-time mode; : disabled; aspect ratio: 3:2;
  • Step S2 equally divide the display screen portion of the display screen in the display image into at least two identical regions.
  • the number of regions is determined according to actual conditions, and may be, for example, 9 regions, 25 regions, or the like.
  • FIG. 2 and FIG. 3 for the method of dividing the 9 regions.
  • FIG. 2 is a schematic diagram of the first five regions when the display screen portion of the display screen is divided into 9 regions
  • FIG. 3 is divided into the display screen portion of the display screen. Schematic diagram of the last four regions in the 9 region.
  • the division method of dividing the 9 regions is to divide the display picture into 9 regions, and the area, the period, and the number of black and white matrices of each of the 9 regions are the same.
  • the display portion of the display screen is equally divided into at least two regions of the same area and the same shape. More specifically, the display screen portion of the display screen is equally divided into first rectangular regions 101 that do not overlap and have the same area and the same shape, and then based on the first rectangular region 101, Continuing between the adjacent two first rectangular regions 101 and between the four first rectangular regions 101, the second rectangular regions 102 that overlap each other and have the same area and the same shape are divided.
  • Step S3 taking one of the at least two regions as a reference region, and drawing the regional checkerboard screen according to the size of the reference region. If the area 5 of FIG. 2 is used as the reference area, the area checkerboard screen is drawn according to the size of the area 5 as shown in FIG.
  • Step S4 Perform Fourier transform on each area of the area checkerboard picture and the display picture part respectively, specifically perform two-dimensional Fourier transform to obtain the characteristic frequency of the residual image of each area and the corresponding first spectrum in the respective spectrum structure.
  • the energy value is additionally obtained as a second spectral energy value of the reference frequency of each region in the frequency domain structure.
  • the reference frequency is zero frequency.
  • the first spectral energy values corresponding to the respective spectral structures are denoted as L1' to L9'.
  • the spectral energy values corresponding to the zero-frequency of each of the nine regions of the display screen are read, and are recorded as L1 to L9, that is, the spectral energy values corresponding to the background intensity of the nine regional images.
  • Step S5 Obtain a ratio of the first spectral energy value and the second spectral energy value corresponding to each region. Specifically, the ratio of the largest one of the ratios corresponding to each region is obtained, and then it is determined whether the largest ratio exceeds the numerical range corresponding to the corresponding detection. If the numerical range is exceeded, the determination is unqualified, otherwise it is qualified.
  • the region where the afterimage is most severe in the nine regions that is, the maximum value of the ratio ⁇ i, can be taken as an evaluation value for evaluating the final image sticking degree of the entire display screen.
  • the region where the degree of residual image is the largest in FIGS. 2 and 3 is one region. Therefore, it is judged whether the ratio of the 1 region exceeds the numerical range corresponding to the corresponding detection, and if it exceeds the numerical range, it is judged To be unqualified, otherwise qualified.
  • the display screen image is equally divided into several local areas for processing, and two-dimensional Fourier transform is performed on each area of the display screen portion of the display screen in the display screen image. Processing, extracting the characteristic frequency corresponding to the residual image of each region and its corresponding spectral energy value in the frequency domain, and obtaining the ratio of the spectral energy value corresponding to the zero frequency, and finally obtaining the evaluation value of the residual image degree of each region, thereby
  • the objectivity of the shooting method and calculation method it is possible to objectively quantify the severity of local residual image, reduce the influence of subjective factors, and improve the resolution ability of IS.
  • FIG. 5 is a schematic structural diagram of a screen residual image detecting system according to an embodiment of the present invention.
  • the display screen afterimage detection system 50 of the present embodiment includes an acquisition device 51, a division device 52, a rendering device 53, and an arithmetic device 54.
  • the obtaining device 51 is configured to obtain a display screen image of the afterimage to be detected.
  • the acquisition device 51 may be an image acquisition tool such as a camera.
  • the obtaining device 51 is preferably a camera, and adopts a standard photographic method to obtain a 128 grayscale display screen image subjected to an IS experiment.
  • the measuring distance is 3 times the width of the display screen, and the measuring direction is perpendicular to the plane of the display screen;
  • Camera parameters ISO100; color space sRGB; flash off; auto brightness: off; white balance offset/surround: 0,0/ ⁇ 0; red-eye reduction on/off: disabled; autofocus mode: real-time mode; : disabled; aspect ratio: 3:2;
  • the dividing means 52 is for dividing the display screen portion of the display screen in the display screen image into at least two identical areas.
  • the number of regions is determined according to actual conditions, and may be, for example, 9 regions, 25 regions, or the like. Please refer to FIG. 2 and FIG. 3 for the method of dividing the 9 regions.
  • FIG. 2 is a schematic diagram of the first five regions when the display screen portion of the display screen is divided into 9 regions, and FIG. 3 is divided into the display screen portion of the display screen. Schematic diagram of the last four regions in the 9 region.
  • the dividing means 52 divides the display screen portion of the display screen into at least two regions having the same area, the same shape, and partially overlapping. More specifically, the display screen portion of the display screen is equally divided into first rectangular regions 101 that do not overlap and have the same area and the same shape, and continue on the adjacent two first rectangular regions on the basis of the first rectangular region 101. Between 101 and between the four first rectangular regions 101, second rectangular regions 102 which overlap each other and have the same area and the same shape are divided.
  • the drawing means 53 is for drawing the area checkerboard picture by the size of the reference area by using one of the at least two areas as the reference area. If the area 5 of FIG. 2 is used as the reference area, the area checkerboard screen is drawn according to the size of the area 5 as shown in FIG.
  • the computing device 54 is configured to perform Fourier transform on each region of the regional checkerboard screen and the display screen portion, specifically, performing two-dimensional Fourier transform to obtain the characteristic frequencies of the residual images of the respective regions and corresponding to the respective spectral structures.
  • a spectral energy value is additionally obtained as a second spectral energy value of the reference frequency of each region in the frequency domain structure. Wherein, the reference frequency is zero frequency.
  • the first spectral energy values corresponding to the respective spectral structures are denoted as L1' to L9'.
  • the spectral energy values corresponding to the zero-frequency of each of the nine regions of the display screen are read, and are recorded as L1 to L9, that is, the spectral energy values corresponding to the background intensity of the nine regional images.
  • the computing device 54 also obtains a ratio of the first spectral energy value and the second spectral energy value corresponding to each region.
  • the arithmetic unit 54 includes an acquisition unit 541, a determination unit 542, and a processing unit 543.
  • the obtaining unit 541 is configured to obtain a maximum ratio of the ratios corresponding to the respective regions.
  • the determining unit 542 is configured to determine whether the largest ratio exceeds a range of values corresponding to the corresponding detection.
  • the processing unit 543 is configured to determine that it is unqualified when the determination unit 542 determines that the value range is exceeded, otherwise it is qualified.
  • the first spectral energy value Li' of the characteristic frequency of each of the above regions is the same as the above nine regions
  • the spectral energy value Li corresponding to the zero frequency is used as the ratio, and the evaluation value of the residual image of each region is obtained.
  • ⁇ i Li'/Li, the larger the ⁇ i, the more serious the residual image of the region is.
  • the region where the afterimage is most severe in the nine regions, that is, the maximum value of the ratio ⁇ i can be taken as an evaluation value for evaluating the final image sticking degree of the entire display screen.
  • the region where the degree of residual image is the largest in FIGS. 2 and 3 is one region. Therefore, it is judged whether the ratio of the 1 area exceeds the numerical range corresponding to the corresponding test, and if it exceeds the numerical range, it is judged as unqualified, otherwise it is qualified.
  • the present invention effectively avoids the use of the traditional subjectiveness of the residual image based on the human eye, objectively evaluates the degree of residual image, and effectively evaluates the degree of residual image in different regions of the display screen.
  • the invention can be used for the quantitative detection and evaluation of the local residual image in the IS experiment process, and the quantitative detection and evaluation of the residual image after the IS, which can reduce the labor cost and the time cost of the IS judgment. , weakening the subjective influence of human judgment.

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Abstract

一种显示屏残影检测系统及方法。方法包括：将显示屏图像中显示屏的显示画面部分平均分为至少两个相同的区域（S2）；以至少两个区域中的一个为参考区，按参考区的大小绘制区域棋盘格画面（S3）；将区域棋盘格画面和显示画面部分的各个区域分别进行傅里叶变换，获得各个区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，另外获取各个区域的参考频率在频域结构中的第二频谱能量值（S4）；获得各个区域对应的第一频谱能量值与第二频谱能量值的比值（S5）。

Description

一种显示屏残影检测系统及方法 【技术领域】
本发明涉及显示技术领域，特别是涉及一种显示屏残影检测系统及方法。
【背景技术】
在设计液晶面板时，会对液晶面板进行影像残留的检测(Image Sticking)，即让液晶面板停留在一个画面(如棋盘格画面)上达100多小时，改变显示内容后，观察前一个画面的残留程度。一般检测残影的依据是基于人眼判断的JND(Just noticeable difference，最小可觉差)模型，其主观因素过高。
【发明内容】
本发明主要解决的技术问题是提供一种显示屏残影检测系统及方法，能够客观、有效地评价显示画面的局部残影的严重程度。
为解决上述技术问题，本发明采用的一个技术方案是：提供一种显示屏残影检测方法，包括：获得待检测残影的显示屏图像；将所述显示屏图像中所述显示屏的显示画面部分平均分为至少两个相同的区域；以至少两个所述区域中的一个为参考区，按所述参考区的大小绘制区域棋盘格画面；将所述区域棋盘格画面和所述显示画面部分的各个所述区域分别进行傅里叶变换，获得各个所述区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，另外获取各个所述区域的参考频率在频域结构中的第二频谱能量值；获得各个所述区域对应的所述第一频谱能量值与所述第二频谱能量值的比值；获得各个所述区域对应的比值中最大的一个比值；判断所述最大的一个比值是否超出对应检测合格的数值范围，若超出所述数值范围，则判断为不合格，否则为合格；
其中，将所述显示屏的显示画面部分平均分为至少两个面积相同的区域包括：将所述显示屏的显示画面部分平均分为至少两个面积相同且形状相同的区域。
其中，将所述显示屏的显示画面部分平均分为至少两个面积相同、形状相同且部分重叠的区域包括：将所述显示屏的显示画面部分平均划分为不重叠且 面积相同、形状相同的第一矩形区域；在所述第一矩形区域基础上，继续在相邻两个所述第一矩形区域之间、四个所述第一矩形区域之间划分相互重叠且面积相同、形状相同的第二矩形区域。
其中，所述参考频率是零频。
为解决上述技术问题，本发明采用的另一个技术方案是：提供一种显示屏残影检测方法，包括：获得待检测残影的显示屏图像；将所述显示屏图像中所述显示屏的显示画面部分平均分为至少两个相同的区域；以至少两个所述区域中的一个为参考区，按所述参考区的大小绘制区域棋盘格画面；将所述区域棋盘格画面和所述显示画面部分的各个所述区域分别进行傅里叶变换，获得各个所述区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，另外获取各个所述区域的参考频率在频域结构中的第二频谱能量值；获得各个所述区域对应的所述第一频谱能量值与所述第二频谱能量值的比值。
其中，方法进一步包括：获得各个所述区域对应的比值中最大的一个比值；判断所述最大的一个比值是否超出对应检测合格的数值范围，若超出所述数值范围，则判断为不合格，否则为合格。
其中，将所述显示屏的显示画面部分平均分为至少两个面积相同的区域包括：将所述显示屏的显示画面部分平均分为至少两个面积相同且形状相同的区域。
其中，将所述显示屏的显示画面部分平均分为至少两个面积相同、形状相同且部分重叠的区域包括：将所述显示屏的显示画面部分平均划分为不重叠且面积相同、形状相同的第一矩形区域；在所述第一矩形区域基础上，继续在相邻两个所述第一矩形区域之间、四个所述第一矩形区域之间划分相互重叠且面积相同、形状相同的第二矩形区域。
其中，所述参考频率是零频。
为解决上述技术问题，本发明采用的另一个技术方案是：提供一种显示屏残影检测系统，包括：获取装置，用于获得待检测残影的显示屏图像；划分装置，用于将所述显示屏图像中所述显示屏的显示画面部分平均分为至少两个相同的区域；绘制装置，用于以所述至少两个区域中的一个为参考区，按所述参考区的大小绘制区域棋盘格画面；运算装置，用于将所述区域棋盘格画面和所述显示画面部分的各个所述区域分别进行傅里叶变换，获得各个所述区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，另外获取各个所述 区域的参考频率在频域结构中的第二频谱能量值，进一步获得各个所述区域对应的所述第一频谱能量值与所述第二频谱能量值的比值。
其中，所述运算装置进一步包括：获取单元，用于获得各个所述区域对应的比值中最大的一个比值；判断单元，用于判断所述最大的一个比值是否超出对应检测合格的数值范围；处理单元，用于在所述判断单元判断到超出所述数值范围时，判断为不合格，否则为合格。
其中，所述划分装置具体是将所述显示屏的显示画面部分平均分为至少两个面积相同且形状相同的区域。
其中，所述划分装置具体是将所述显示屏的显示画面部分平均划分为不重叠且面积相同、形状相同的第一矩形区域，并在所述第一矩形区域基础上，继续在相邻两个所述第一矩形区域之间、四个所述第一矩形区域之间划分相互重叠且面积相同、形状相同的第二矩形区域。
其中，所述参考频率是零频。
本发明的有益效果是：区别于现有技术的情况，本发明提供一种显示屏残影检测系统及方法，包括以下步骤：首先获得待检测残影的显示屏图像，然后将显示屏图像中显示屏的显示画面部分平均分为至少两个相同的区域，进而以至少两个区域中的一个为参考区，按参考区的大小绘制区域棋盘格画面，进一步将区域棋盘格画面和显示画面部分的各个区域分别进行傅里叶变换，获得各个区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，另外获取各个区域的参考频率在频域结构中的第二频谱能量值，最后获得各个区域对应的第一频谱能量值与第二频谱能量值的比值。本发明对局部图像频域结构进行处理，能够客观、有效地评价显示画面的局部残影的严重程度。
【附图说明】
图1是本发明实施方式提供的一种显示屏残影检测方法的流程图；
图2是显示屏的显示画面部分划分为9区域时前5个区域的示意图；
图3是显示屏的显示画面部分划分为9区域时后4个区域的示意图；
图4是按参考区的大小绘制的区域棋盘格画面；
图5是本发明实施方式提供的一种显示屏残影检测系统的结构示意图。
【具体实施方式】
请参阅图1，图1是本发明实施方式提供的一种显示屏残影检测方法的流程图。如图1所示，本实施例的方法包括以下步骤：
步骤S1：获得待检测残影的显示屏图像。
本步骤中，具体是通过照相机等图像获取工具采用标准照相手法获取经过IS实验的128灰阶下显示屏图像。
其中，标准拍照手法的说明如下：
相机型号：Canon600D；
测量距离为显示屏宽度的3倍，测量方向垂直于显示屏平面；
测量环境：暗室；
相机参数：ISO100；色彩空间sRGB；闪光灯关闭；自动亮度：关闭；白平衡偏移/包围：0，0/±0；减轻红眼开/关：禁用；自动对焦模式：实时模式；显示网格线：禁用；长宽比：3∶2；
测光定时器：16秒；低音增强：禁用；经由HDMI控制：禁用。
步骤S2：将显示屏图像中显示屏的显示画面部分平均分为至少两个相同的区域。
本步骤中，区域的数量根据实际情况而定，例如可以为9区域、25区域等。请参阅图2和图3所示为9区域的划分方法，其中，图2为显示屏的显示画面部分划分为9区域时前5个区域的示意图，图3为显示屏的显示画面部分划分为9区域时后4个区域的示意图。其中，划分9区域的划分方法，即将显示画面划分成9个区域，并且9个区域中每个区域的面积、周期以及黑白矩阵(blocks)的数目均相同。
具体而言，至少两个相同的区域包括两个区域的面积、周期或者黑白矩阵(blocks)的数目均相同。即将显示屏的显示画面部分平均分为至少两个面积相同且形状相同的区域。更具体的，将显示屏的显示画面部分平均划分为不重叠且面积相同、形状相同的第一矩形区域101，然后在第一矩形区域101基础上， 继续在相邻两个第一矩形区域101之间、四个第一矩形区域101之间划分相互重叠且面积相同、形状相同的第二矩形区域102。
步骤S3：以至少两个区域中的一个为参考区，按参考区的大小绘制区域棋盘格画面。如以图2的区域5作为参考区，按此区域5的大小绘制区域棋盘格画面如图4所示。
步骤S4：将区域棋盘格画面和显示画面部分的各个区域分别进行傅里叶变换，具体是进行二维傅立叶变换，获得各个区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，另外获取各个区域的参考频率在频域结构中的第二频谱能量值。其中，参考频率是零频。
承接前文的9个区域的例子，将如图4所示的区域棋盘格画面和显示画面的9个区域画面分别进行傅里叶变换，分别获得1-9该9个区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，记为L1’～L9’。
在频域结构中读取显示画面的9个区域各自的零频对应的频谱能量值，记为L1～L9，即9个区域画面背景强度对应的频谱能量值。
步骤S5：获得各个区域对应的第一频谱能量值与第二频谱能量值的比值。具体为：获得各个区域对应的比值中最大的一个比值，然后判断最大的一个比值是否超出对应检测合格的数值范围，若超出数值范围，则判断为不合格，否则为合格。
如上述的9个区域，将上述的各区域的特征频率的第一频谱能量值Li’与其零频对应的频谱能量值Li做比值，获得各区域残影的评价值，γi＝Li‘/Li，γi越大，说明此区域的残影越严重。其中，可取这9个区域中残影最为严重的区域，即比值γi的最大值，作为评价整个显示画面的最终残影程度的评价值。
以图2和图3所示的显示画面为例，以下给出9个区域的残影评价值：
区域 1 2 3 4 5 6 7 8 9
比值 3.0552 1.9475 1.9440 2.5595 0.7954 1.3746 2.4196 2.3507 1.5548
以上述评价值可知，图2和图3中残影程度最大的区域为1区域。由此判断1区域的比值是否超出对应检测合格的数值范围，若超出数值范围，则判断 为不合格，否则为合格。
承前所述，本实施例通过获得显示屏图像，将显示屏图像平均分为几个局域分别进行处理，对显示屏图像中的显示屏的显示画面部分的各区域进行二维傅里叶变化处理，在频域中提取各区域残影画面对应的特征频率及其对应的频谱能量值，求得其与零频对应的频谱能量值的比值，最终得到各区域残影程度的评价值，从而通过拍摄方法和计算方法的客观性，能够客观量化评价局部残影严重程度，降低主观因素影响，提高IS的分辨能力。
请参阅图5，图5是本发明实施例方式提供的一种显示屏残影检测系统的结构示意图。如图5所示，本实施例的显示屏残影检测系统50包括获取装置51、划分装置52、绘制装置53以及运算装置54。
其中，获取装置51用于获得待检测残影的显示屏图像。获取装置51可以为相机等图像获取工具。本实施例中，获取装置51优选为相机，采用标准照相手法获取经过IS实验的128灰阶下显示屏图像。
其中，标准拍照手法的说明如下：
相机型号：Canon600D；
测量距离为显示屏宽度的3倍，测量方向垂直于显示屏平面；
测量环境：暗室；
相机参数：ISO100；色彩空间sRGB；闪光灯关闭；自动亮度：关闭；白平衡偏移/包围：0，0/±0；减轻红眼开/关：禁用；自动对焦模式：实时模式；显示网格线：禁用；长宽比：3∶2；
测光定时器：16秒；低音增强：禁用；经由HDMI控制：禁用。
划分装置52用于将显示屏图像中显示屏的显示画面部分平均分为至少两个相同的区域。其中，区域的数量根据实际情况而定，例如可以为9区域、25区域等。请参阅图2和图3所示为9区域的划分方法，其中，图2为显示屏的显示画面部分划分为9区域时前5个区域的示意图，图3为显示屏的显示画面部分划分为9区域时后4个区域的示意图。
具体的，至少两个相同的区域包括两个区域的面积、周期或者黑白矩阵的数目均相同。即划分装置52是将显示屏的显示画面部分平均分为至少两个面积相同、形状相同且部分重叠的区域。更具体的，是将显示屏的显示画面部分平均划分为不重叠且面积相同、形状相同的第一矩形区域101，并在第一矩形区域101基础上，继续在相邻两个第一矩形区域101之间、四个第一矩形区域101之间划分相互重叠且面积相同、形状相同的第二矩形区域102。
绘制装置53用于以至少两个区域中的一个为参考区，按参考区的大小绘制区域棋盘格画面。如以图2的区域5作为参考区，按此区域5的大小绘制区域棋盘格画面如图4所示。
运算装置54用于将区域棋盘格画面和显示画面部分的各个区域分别进行傅里叶变换，具体是进行二维傅立叶变换，获得各个区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，另外获取各个区域的参考频率在频域结构中的第二频谱能量值。其中，参考频率是零频。
承接前文的9个区域的例子，将如图4所示的区域棋盘格画面和显示画面的9个区域画面分别进行傅里叶变换，分别获得1-9该9个区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，记为L1’～L9’。
在频域结构中读取显示画面的9个区域各自的零频对应的频谱能量值，记为L1～L9，即9个区域画面背景强度对应的频谱能量值。
进一步的，运算装置54还获得各个区域对应的第一频谱能量值与第二频谱能量值的比值。具体而言，运算装置54包括获取单元541、判断单元542以及处理单元543。
其中，获取单元541用于获得各个区域对应的比值中最大的一个比值。
判断单元542用于判断最大的一个比值是否超出对应检测合格的数值范围。
处理单元543用于在判断单元542判断到超出数值范围时，判断为不合格，否则为合格。
如上述的9个区域，将上述的各区域的特征频率的第一频谱能量值Li’与其 零频对应的频谱能量值Li做比值，获得各区域残影的评价值，γi＝Li‘/Li，γi越大，说明此区域的残影越严重。其中，可取这9个区域中残影最为严重的区域，即比值γi的最大值，作为评价整个显示画面的最终残影程度的评价值。
以图2和图3所示的显示画面为例，以下给出9个区域的残影评价值：
区域 1 2 3 4 5 6 7 8 9
比值 3.0552 1.9475 1.9440 2.5595 0.7954 1.3746 2.4196 2.3507 1.5548
以上述评价值可知，图2和图3中残影程度最大的区域为1区域。由此判断1区域的比值是否超出对应检测合格的数值范围，若超出数值范围，则判断为不合格，否则为合格。
综上所述，本发明有效地避免了使用传统的基于人眼判断残影的主观性，客观地的评价残影程度，有效评价显示屏画面不同区域的残影程度。
针对面板厂均需要进行的IS实验，本发明可用于在IS实验过程中局部残影的即时性量化检测与评价，以及IS后面残影量化检测与评价，可降低IS判断的人工成本和时间成本，减弱人眼判断的主观性影响。
以上所述仅为本发明的实施方式，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。

Claims (13)

  1. 一种显示屏残影检测方法，其中，包括：
    获得待检测残影的显示屏图像；
    将所述显示屏图像中所述显示屏的显示画面部分平均分为至少两个相同的区域；
    以至少两个所述区域中的一个为参考区，按所述参考区的大小绘制区域棋盘格画面；
    将所述区域棋盘格画面和所述显示画面部分的各个所述区域分别进行傅里叶变换，获得各个所述区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，另外获取各个所述区域的参考频率在频域结构中的第二频谱能量值；
    获得各个所述区域对应的所述第一频谱能量值与所述第二频谱能量值的比值；
    获得各个所述区域对应的比值中最大的一个比值；
    判断所述最大的一个比值是否超出对应检测合格的数值范围，若超出所述数值范围，则判断为不合格，否则为合格。
    其中，将所述显示屏的显示画面部分平均分为至少两个相同的区域包括：
    将所述显示屏的显示画面部分平均分为至少两个面积相同且形状相同的区域。
  2. 根据权利要求1所述的方法，其中，将所述显示屏的显示画面部分平均分为至少两个面积相同且形状相同的区域包括：
    将所述显示屏的显示画面部分平均划分为不重叠且面积相同、形状相同的第一矩形区域；
    在所述第一矩形区域基础上，继续在相邻两个所述第一矩形区域之间、四个所述第一矩形区域之间划分相互重叠且面积相同、形状相同的第二矩形区域。
  3. 根据权利要求1所述的方法，其中，所述参考频率是零频。
  4. 一种显示屏残影检测方法，其中，包括：
    获得待检测残影的显示屏图像；
    将所述显示屏图像中所述显示屏的显示画面部分平均分为至少两个相同的区域；
    以至少两个所述区域中的一个为参考区，按所述参考区的大小绘制区域棋盘格画面；
    将所述区域棋盘格画面和所述显示画面部分的各个所述区域分别进行傅里叶变换，获得各个所述区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，另外获取各个所述区域的参考频率在频域结构中的第二频谱能量值；
    获得各个所述区域对应的所述第一频谱能量值与所述第二频谱能量值的比值。
  5. 根据权利要求4所述的方法，其中，所述方法进一步包括：
    获得各个所述区域对应的比值中最大的一个比值；
    判断所述最大的一个比值是否超出对应检测合格的数值范围，若超出所述数值范围，则判断为不合格，否则为合格。
  6. 根据权利要求4所述的方法，其中，将所述显示屏的显示画面部分平均分为至少两个相同的区域包括：
    将所述显示屏的显示画面部分平均分为至少两个面积相同且形状相同的区域。
  7. 根据权利要求6所述的方法，其中，将所述显示屏的显示画面部分平均分为至少两个面积相同且形状相同的区域包括：
    将所述显示屏的显示画面部分平均划分为不重叠且面积相同、形状相同的第一矩形区域；
    在所述第一矩形区域基础上，继续在相邻两个所述第一矩形区域之间、四 个所述第一矩形区域之间划分相互重叠且面积相同、形状相同的第二矩形区域。
  8. 根据权利要求4所述的方法，其中，所述参考频率是零频。
  9. 一种显示屏残影检测系统，其中，包括：
    获取装置，用于获得待检测残影的显示屏图像；
    划分装置，用于将所述显示屏图像中所述显示屏的显示画面部分平均分为至少两个相同的区域；
    绘制装置，用于以至少两个所述区域中的一个为参考区，按所述参考区的大小绘制区域棋盘格画面；
    运算装置，用于将所述区域棋盘格画面和所述显示画面部分的各个所述区域分别进行傅里叶变换，获得各个所述区域残影的特征频率及其对应在各自频谱结构中的第一频谱能量值，另外获取各个所述区域的参考频率在频域结构中的第二频谱能量值，进一步获得各个所述区域对应的所述第一频谱能量值与所述第二频谱能量值的比值。
  10. 根据权利要求9所述的系统，其中，所述运算装置进一步包括：
    获取单元，用于获得各个所述区域对应的比值中最大的一个比值；
    判断单元，用于判断所述最大的一个比值是否超出对应检测合格的数值范围；
    处理单元，用于在所述判断单元判断到超出所述数值范围时，判断为不合格，否则为合格。
  11. 根据权利要求9所述的系统，其中，所述划分装置具体是将所述显示屏的显示画面部分平均分为至少两个面积相同且形状相同的区域。
  12. 根据权利要求11所述的系统，其中，所述划分装置具体是将所述显示屏的显示画面部分平均划分为不重叠且面积相同、形状相同的第一矩形区域，并在所述第一矩形区域基础上，继续在相邻两个所述第一矩形区域之间、四个所述第一矩形区域之间划分相互重叠且面积相同、形状相同的第二矩形区域。
  13. 根据权利要求9所述的系统，其中，所述参考频率是零频。
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