WO2021017979A1 - 一种灰阶强度数据的处理方法、存储介质及终端设备 - Google Patents

一种灰阶强度数据的处理方法、存储介质及终端设备 Download PDF

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WO2021017979A1
WO2021017979A1 PCT/CN2020/103546 CN2020103546W WO2021017979A1 WO 2021017979 A1 WO2021017979 A1 WO 2021017979A1 CN 2020103546 W CN2020103546 W CN 2020103546W WO 2021017979 A1 WO2021017979 A1 WO 2021017979A1
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intensity data
data
gray
grayscale
brightness
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PCT/CN2020/103546
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English (en)
French (fr)
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陈林
夏大学
谢仁礼
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深圳Tcl数字技术有限公司
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • 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
    • G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
    • G09G3/36—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80—Camera processing pipelines; Components thereof

Definitions

  • the present disclosure relates to the technical field of display panel detection, and in particular to a processing method, storage medium and terminal equipment of grayscale intensity data.
  • the main method for extracting the brightness data of the display panel in the industry is to use a camera to take a picture of the surface of the display panel, and the camera itself obtains the brightness data from the image obtained by taking the picture.
  • this method can achieve the acquisition of the brightness of the entire display panel, there is a relative shooting time Long, and the price of this type of camera is ten times or more than that of ordinary industrial cameras, which is detrimental to production line production efficiency and production costs.
  • the present disclosure aims to provide a gray-scale intensity data processing method, storage medium and terminal device.
  • the first aspect of the present disclosure provides a method for processing grayscale intensity data, wherein the method includes:
  • the gray-scale intensity data is converted into brightness data according to the corresponding relationship between the gray-scale intensity data and the brightness data.
  • the photographing the display panel under each gray level according to the exposure time sequence corresponding to each gray level, and obtaining the gray level intensity data of the photograph obtained by the photograph specifically includes:
  • the exposure time sequence corresponding to the gray level is acquired, and the display panel under the gray level is photographed according to the exposure time sequence by an industrial camera;
  • the determining the corresponding relationship between the gray-scale intensity data and the brightness data according to all the acquired gray-scale intensity data and brightness data specifically includes:
  • the corresponding relationship between the gray-scale intensity data and the brightness data is calculated according to the linear corresponding relationship between the exposure time and the gray-scale intensity data and the corresponding relationship between the slope and the brightness data.
  • the exposure time sequence corresponding to the gray level includes several exposure times, and the several exposure times are sorted according to the exposure time.
  • the determining the corresponding relationship between the gray-scale intensity data and the brightness data according to all the acquired gray-scale intensity data and brightness data specifically includes:
  • the corresponding relationship between the gray-scale intensity data and the brightness data is calculated according to the corresponding relationship between the brightness data and the gray-scale intensity data and the corresponding relationship between the slope and the brightness data.
  • the exposure time sequence corresponding to each of the several gray levels includes several exposure times, and the exposure time sequence corresponding to each gray level is the same.
  • the method further includes:
  • the correspondence between the error rate and the brightness data is used to correct the correspondence between the grayscale intensity data and the brightness data.
  • the corresponding relationship between the slope and its brightness data is linear.
  • all the acquired grayscale intensity data include grayscale intensity data extracted from photos corresponding to each grayscale at each exposure time.
  • the number of gray scale photos is equal to the number of exposure time.
  • a second aspect of the present disclosure provides a method for extracting brightness data, which applies any of the gray-scale intensity data processing methods described above, and the method for extracting brightness data includes:
  • the gray-scale intensity data is converted into brightness data according to the corresponding relationship between the gray-scale intensity data and the brightness data, so as to obtain the brightness data of the display panel.
  • the acquiring an image of the display panel and acquiring the grayscale intensity data of the display panel according to the image is specifically:
  • the image of the display panel is captured by an industrial camera, and the grayscale intensity data of the display panel is acquired according to the image.
  • the third aspect of the present disclosure provides a computer-readable storage medium, the computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to realize Any of the steps in the grayscale intensity data processing method described above, and/or to implement the steps in the brightness data extraction method described above.
  • a fourth aspect of the present disclosure provides a terminal device, which includes: a processor, a memory, and a communication bus; the memory stores a computer readable program that can be executed by the processor;
  • the communication bus realizes connection and communication between the processor and the memory
  • the processor executes the computer-readable program, the steps in the gray-scale intensity data processing method described above and/or the steps in the brightness data extraction method described above are implemented.
  • the present disclosure provides a method for processing grayscale intensity data, a storage medium, and a terminal device.
  • the method includes: selecting several grayscales and measuring the brightness of the display panel under each grayscale Data; Take photos of the display panel under each gray level according to the exposure time sequence corresponding to each gray level, and obtain the gray level intensity data under each exposure time under each gray level according to the photos obtained; according to all the gray levels obtained
  • the intensity data and the brightness data determine the corresponding relationship between the gray-scale intensity data and the brightness data; the gray-scale intensity data is converted into the brightness data according to the corresponding relationship between the gray-scale intensity data and the brightness data.
  • the present disclosure takes pictures of the selected gray scales under different exposure times; and determines the relationship between the gray scale intensity and the brightness according to the gray scale intensity data obtained from the captured picture and the measured brightness data, thereby improving the gray scale intensity Conversion efficiency of data and brightness data.
  • FIG. 1 is a flowchart of a method for processing grayscale intensity data provided by the present disclosure.
  • FIG. 2 is a flowchart of an embodiment of step S30 of the grayscale intensity data processing method provided by the present disclosure.
  • FIG. 3 is a fitting curve of gray-scale intensity data and exposure time in an embodiment of step S30 of the gray-scale intensity data processing method provided by the present disclosure.
  • FIG. 4 is a fitting curve of slope and brightness data in an embodiment of step S30 of the grayscale intensity data processing method provided by the present disclosure.
  • FIG. 5 is a fitting curve of the error rate and the calculated brightness data in an embodiment of step S30 of the grayscale intensity data processing method provided by the present disclosure.
  • FIG. 6 is a flowchart of another embodiment of step S30 of the grayscale intensity data processing method provided by the present disclosure.
  • FIG. 7 is a fitting curve of gray-scale intensity data and brightness data in another embodiment of step S30 of the gray-scale intensity data processing method provided by the present disclosure.
  • FIG. 8 is a fitting curve of slope and exposure time in another embodiment of step S30 of the grayscale intensity data processing method provided by the present disclosure.
  • FIG. 9 is a fitting curve of error rate and calculated brightness data in another embodiment of step S30 of the grayscale intensity data processing method provided by the present disclosure.
  • FIG. 10 is a flowchart of a method for extracting brightness data provided by the present disclosure.
  • FIG. 11 is a schematic structural diagram of a terminal device provided by the present disclosure.
  • the present disclosure provides a grayscale intensity data processing method, storage medium, and terminal equipment.
  • the present disclosure will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present disclosure, but not used to limit the present disclosure.
  • This embodiment provides a method for processing grayscale intensity data. As shown in FIG. 1, the method includes:
  • the several gray levels may be randomly selected, and the randomly selected several gray levels are set as gray levels, so that the corresponding relationship between the gray level intensity data and the brightness data can be calculated according to the gray levels.
  • measuring the brightness data of the display panel under each gray scale also uses the CA310 to measure the brightness of the display panel under each gray scale to obtain the measured brightness data.
  • the several gray levels may be 6 gray levels, and the 6 gray levels may be 46/86/126/166/206/246 respectively, that is, 46/86/126/166
  • the 6 gray levels of /206/246 are used as data acquisition gray levels, and the brightness of the display panel under 46/86/126/166/206/246 gray levels is measured by using CA310.
  • S20 Take a picture of the display panel under each gray level according to the exposure time sequence corresponding to each gray level, and obtain the gray level intensity data under each exposure time under each gray level according to the photograph obtained.
  • the exposure time sequence corresponding to each gray level is preset, and the exposure time sequence corresponding to each gray level includes several exposure times, and the several exposure times are sorted according to the exposure time.
  • the exposure time sequence is ⁇ 416.65ms, 99.996ms, 49.998ms, 33.332ms, 16.666ms ⁇ , that is, the predicted exposure time sequence includes exposure times of 416.65ms, 99.996ms, 49.998ms, 33.332ms, and 16.666ms.
  • Said taking pictures of the display panel under each gray level according to the exposure time sequence corresponding to each gray level refers to taking pictures of the display panel under each gray level under each exposure time included in the preset exposure time sequence. Get the photos under each exposure time.
  • Each gray level corresponds to one photo at each exposure time. That is to say, each gray level corresponds to 5 photos, so 6 The gray scale can get 30 photos.
  • the photographing the display panel under each gray level according to the exposure time sequence corresponding to each gray level, and obtaining the gray level intensity data at each exposure time under each gray level according to the photograph obtained specifically includes:
  • each gray scale For each gray scale, acquiring an exposure time sequence corresponding to the gray scale, and taking pictures of the display panel under the gray scale according to the exposure time sequence by an industrial camera;
  • the industrial camera is a common industrial camera, for example, CA310.
  • the exposure times in the preset exposure time sequence may be arranged in ascending order of duration, or may be arranged in descending order of duration.
  • the photos corresponding to each gray scale can be obtained separately for each exposure time; or the photos corresponding to each exposure time can be obtained separately for each gray scale.
  • other methods may be used to obtain the photos, as long as the method for obtaining the photos required by the present disclosure can be obtained, which will not be repeated here.
  • the acquired all grayscale intensity data refer to grayscale intensity data extracted from photos corresponding to each grayscale at each exposure time. Since for each gray level, the number of gray-level photos corresponding to each gray-level can be determined according to the number of exposure times contained in the exposure time sequence corresponding to the gray-level, where the number of gray-level photos is equal to the number of exposure times, so all gray levels The number of intensity data is equal to the sum of the number of exposure times corresponding to each gray scale and the number of measured brightness data is the number of gray scales. Therefore, when the gray scale intensity data and brightness data are obtained, the gray scale intensity data needs to be transformed , Determine the correspondence between the grayscale intensity data and the brightness data according to the transformed data.
  • the determining the correspondence between the gray-scale intensity data and the brightness data according to all the acquired gray-scale intensity data and brightness data specifically includes:
  • S33 Calculate the corresponding relationship between the gray-scale intensity data and the brightness data according to the linear corresponding relationship between the exposure time and the gray-scale intensity data and the corresponding relationship between the slope and the brightness data.
  • each gray scale has gray intensity data corresponding to each exposure time in its corresponding exposure time sequence.
  • the exposure time can be used as the x-axis coordinate and the gray intensity data as the y-axis coordinate for drawing point fitting, as shown in Figure 3.
  • the fitting curve of the exposure time and the gray-scale intensity data is a straight line. That is to say, in each gray scale, the gray scale intensity data I and the exposure time t have a linear relationship, and the corresponding relationship between the gray scale intensity data I and the exposure time t may be:
  • a is the slope of the fitting curve between grayscale intensity data and exposure time
  • b is the intercept of the fitting curve between grayscale intensity data and exposure time
  • the curve slope a of each fitting curve is extracted, and the curve slope a and the brightness data under each gray scale are traced.
  • the fitting curve of the slope and the brightness data plotting points is a straight line, that is, the slope a has a linear relationship with the brightness data L, and the slope a has a linear relationship with the brightness data L.
  • a' is the slope of the fitting curve between the slope and the brightness data in the figure
  • b' is the intercept of the fitting curve between the slope and the brightness data.
  • the conversion relationship between the luminance data L and the gray-scale intensity data I is found.
  • b and b'in the conversion relationship between the brightness data L and the grayscale intensity data I are omitted, so that the approximate conversion between the brightness L and the grayscale intensity data I can be obtained.
  • the conversion relationship between the approximate brightness L and the grayscale intensity data I can be corrected .
  • the method further includes:
  • the corresponding relationship between the error rate and the brightness data is used to correct the corresponding relationship between the grayscale intensity data and the brightness data.
  • the grayscale intensity data I and the exposure time t under each grayscale are brought into the approximate brightness L and the grayscale intensity data I.
  • the brightness error rate is calculated based on the calculated brightness data and the measured brightness data.
  • the determination of the corresponding relationship between the gray-scale intensity data and the brightness data according to all the acquired gray-scale intensity data and brightness data specifically includes:
  • the exposure time sequence corresponding to each gray scale contains the same time.
  • the exposure time sequence included in the exposure time sequence is: 416.65/99.996/49.998/33.332/16.666ms.
  • Five times are the data collection target exposure time.
  • the brightness data of each gray scale and the gray scale intensity data of each gray scale under the exposure time are drawn to fit, as shown in FIG. 7, the fitting curve of the brightness data and the gray scale intensity data is a straight line. That is to say, at each exposure time, the gray-scale intensity data I and the brightness data L have a linear relationship, and the corresponding relationship between the gray-scale intensity data I and the brightness data L may be:
  • k is the slope of the fitting curve between the grayscale intensity data and the brightness data
  • b is the intercept of the fitting curve between the grayscale intensity data and the brightness data.
  • the fitting curve of the grayscale intensity data and the brightness data at each exposure time is obtained, the curve slope k of each fitted curve is extracted, and the curve slope k and each exposure time are traced, as shown in FIG. 8
  • the fitting curve of the slope and the exposure time plot point is a straight line, that is, the slope k has a linear relationship with the exposure time t, and the expression that the slope a has a linear relationship with the exposure time t can be for:
  • k' is the slope of the fitting curve between the slope and the exposure time
  • b' is the intercept of the fitting curve between the slope and the exposure time
  • the conversion relationship between the luminance data L and the gray-scale intensity data I is found.
  • b and b'in the conversion relationship between the brightness data L and the grayscale intensity data I are omitted, so that the approximate conversion between the brightness L and the grayscale intensity data I can be obtained.
  • the conversion relationship between the approximate brightness L and the grayscale intensity data I can be corrected.
  • the modification process of this embodiment is the same as the modification process of the above embodiment.
  • the gray scale brightness and brightness error rate E under each gray scale are traced to obtain the curve relationship between the brightness error rate and the gray scale brightness, as shown in FIG.
  • the corresponding brightness data can be performed according to the corresponding relationship between the grayscale intensity data and the brightness data. It is understandable that when the corresponding relationship between the acquired grayscale intensity data and the brightness data is determined, after the grayscale intensity data is acquired, the brightness data corresponding to the grayscale intensity data can be calculated according to the grayscale intensity data. At the same time, because after obtaining the corresponding relationship between the gray-scale intensity data and the brightness data, the corresponding relationship between the gray-scale intensity data and the brightness data is modified, so that the corresponding relationship between the gray-scale intensity data and the brightness data is The gray-scale intensity data is converted into brightness data according to the corresponding relationship between the corrected gray-scale intensity data and the brightness data.
  • this embodiment also provides a brightness data extraction method, wherein the grayscale intensity data processing method described in the foregoing embodiment is applied, as shown in FIG. 10, the brightness data
  • the extraction methods include:
  • M20 Convert the gray-scale intensity data into brightness data according to the corresponding relationship between the gray-scale intensity data and the brightness data, so as to obtain the brightness data of the display panel.
  • the image of the display panel is an image of the display panel taken by an industrial camera, and after acquiring the image, the gray-scale intensity data of the image is extracted to obtain the gray-scale intensity data of the display panel Then, the brightness of the display panel is calculated according to the corresponding relationship between the grayscale intensity data and the brightness data.
  • the present disclosure also provides a computer-readable storage medium that stores one or more programs, and the one or more programs can be used by one or more programs.
  • Each processor executes to implement the steps in the gray-scale intensity data processing method described in the foregoing embodiment.
  • the present disclosure also provides a terminal device, as shown in FIG. 11, which includes at least one processor (processor) 20; a display screen 21; and a memory (memory) 22, and may also include a communications interface (Communications Interface) 23 and a bus twenty four.
  • the processor 20, the display screen 21, the memory 22, and the communication interface 23 can communicate with each other through the bus 24.
  • the display screen 21 is set to display a user guide interface preset in the initial setting mode.
  • the communication interface 23 can transmit information.
  • the processor 20 can call the logic instructions in the memory 22 to execute the method in the foregoing embodiment.
  • logic instructions in the memory 22 can be implemented in the form of software functional units and when sold or used as independent products, they can be stored in a computer readable storage medium.
  • the memory 22 can be configured to store software programs and computer-executable programs, such as program instructions or modules corresponding to the methods in the embodiments of the present disclosure.
  • the processor 20 executes functional applications and data processing by running software programs, instructions or modules stored in the memory 22, that is, implements the methods in the foregoing embodiments.
  • the memory 22 may include a program storage area and a data storage area.
  • the program storage area may store an operating system and an application program required by at least one function; the data storage area may store data created according to the use of the terminal device, and the like.
  • the memory 22 may include a high-speed random access memory, and may also include a non-volatile memory.
  • U disk mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disks or optical disks and other media that can store program codes, or temporary State storage medium.

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Abstract

一种灰阶强度数据的处理方法、存储介质及终端设备，处理方法包括：选取若干灰阶，测量显示面板在各灰阶下的亮度数据；根据各灰阶对应的曝光时间序列对各灰阶下的显示面板进行拍照，并根据拍摄得到的照片获取各灰阶下各曝光时间下的灰阶强度数据；根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系；根据灰阶强度数据与亮度数据的对应关系将灰阶强度数据转换为亮度数据。通过在不同曝光时间下对所选取的灰阶进行拍照；并根据拍摄图片获取到的灰阶强度数据与测量到的亮度数据确定灰阶强度与亮度之间的关系，从而提高灰阶强度数据与亮度数据的转化效率。

Description

一种灰阶强度数据的处理方法、存储介质及终端设备
优先权
本公开要求于申请日为2019年7月26日提交中国专利局、申请号“2019106847029”、申请名称为“一种灰阶强度数据的处理方法、存储介质及终端设备”的中国专利申请的优先权，其全部内容通过引用结合在本公开中。
技术领域
本公开涉及显示面板检测技术领域，特别涉及一种灰阶强度数据的处理方法、存储介质及终端设备。
背景技术
随着手机、电视、数字相机、计算机等含显示面板的电子产品在日常生活和生产中得到广泛应。人们对显示面板的清晰度和画质体验也有了更高的要求，这就需要在生产过程中不断地提高显示面板生产技术，优化生产工序。面板亮度测量及均匀化处理是面板生产过程中的重要工序，通过对显示面板的亮度数据测量和Demura处理可以很好的提高面板的显示效果。
目前行业中对显示面板亮度数据提取主要的方法是采用相机对显示面板表面进行拍照，并相机自身根据拍照得到图像得到亮度数据，该方法虽然能够实现整个显示面板亮度的获取，但存在拍摄相对时间长，且该型相机的价格是普通工业相机的十倍及以上，这对产线生产效率和生产成本是不利的。
为了解决上述问题，人们将关注的焦点集中在能够对显示面板进行快速拍摄的普通工业相机，但是普通工业相机在获取到面板的面板灰阶强度数据后，无法将面板灰阶强度数据转换为显示面板的亮度数据，从而限制了工业相机的使用。
公开内容
鉴于现有技术的不足，本公开旨在提供一种灰阶强度数据的处理方法、存储介质及终端设备。
本公开第一方面提供了一种灰阶强度数据的处理方法，其中，所述方法包括：
选取若干灰阶，测量显示面板在各灰阶下的亮度数据；
根据各灰阶对应的曝光时间序列对各灰阶下的显示面板进行拍照，并获取拍照得到的照片的灰阶强度数据；
根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系；
根据所述灰阶强度数据与亮度数据的对应关系将灰阶强度数据转换为亮度数据。
在一个实施例中，所述根据各灰阶对应的曝光时间序列对各灰阶下的显示面板进行拍照，并获取拍照得到的照片的灰阶强度数据具体包括：
对于每个灰阶，获取该灰阶对应的曝光时间序列，并通过工业相机按照曝光时间序列对该灰阶下的显示面板进行拍照；
获取拍照得到的各照片的灰阶强度数据。
在一个实施例中，所述根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系具体包括：
对于每个灰阶，根据该灰阶对应的灰阶强度数据以及曝光时间序列确定曝光时间与灰阶强度数据的线性对应关系；
提取各灰阶的曝光时间与灰阶强度数据的线性对应关系的斜率，并确定提取到的斜率与亮度数据的对应关系；
根据曝光时间与灰阶强度数据的线性对应关系和斜率与亮度数据的对应关系计算灰阶强度数据与亮度数据的对应关系。
在一个实施例中，对于每个灰阶，该灰阶对应的曝光时间序列包括若干个曝光时间，所述若干个曝光时间按照曝光时长排序。
在一个实施例中，所述根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系具体包括：
对于每个曝光时间，根据其对应的各灰阶强度数据以及相应的亮度数据确定亮度数据与灰阶强度数据的线性对应关系；
提取各曝光时间对应的亮度数据与灰阶强度数据的线性对应关系的斜率，并确定斜率与亮度数据的对应关系；
根据所述亮度数据与灰阶强度数据的对应关系和斜率与亮度数据的对应关系计算灰阶强度数据与亮度数据的对应关系。
在一个实施例中，若干灰阶中的每个灰阶对应的曝光时间序列均包括若干个曝光时间，并且各灰阶各自对应的曝光时间序列相同。
在一个实施例中，所述根据所述曝光时间与灰阶强度数据的对应关系和斜率与其亮度数据的对应关系计算灰阶强度数据与亮度数据的对应关系之后还包括：
对于每个灰阶，根据所述灰阶强度数据与亮度数据的对应关系计算各灰阶的估计亮度数据；
计算所述估计亮度数据与亮度数据的误差率，并根据所述误差率与亮度数据确定误差率与亮度数据的对应关系；
采用所述误差率与亮度数据的对应关系对所述灰阶强度数据与亮度数据的对应关系进行修正。
在一个实施例中，所述斜率与其亮度数据的对应关系呈线性关系。
在一个实施例中，所述获取到的所有灰阶强度数据包括各曝光时间下各灰阶对应的照片提取到的灰阶强度数据。
在一个实施例中，所述对于每个所述灰阶，灰阶照片的数量等于曝光时间数量。
本公开第二方面提供了一种亮度数据的提取方法，应用如上任一所述灰阶强度数据的处理方法，所述亮度数据的提取方法包括：
获取显示面板的图像，并根据所述图像获取所述显示面板的灰阶强度数据；
根据所述灰阶强度数据与亮度数据的对应关系将所述灰阶强度数据转换为亮度数据，以得到所述显示面板的亮度数据。
在一个实施例中，所述获取显示面板的图像，并根据所述图像获取所述显示面板 的灰阶强度数据具体为：
通过工业相机拍摄所述显示面板的图像，并根据所述图像获取所述显示面板的灰阶强度数据。
本公开第三方面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存储有一个或者多个程序，所述一个或者多个程序可被一个或者多个处理器执行，以实现如上任一所述的灰阶强度数据的处理方法中的步骤，和/或以实现如上任一所述的亮度数据的提取方法中的步骤。
本公开第四方面提供了一种终端设备，其包括：处理器、存储器及通信总线；所述存储器上存储有可被所述处理器执行的计算机可读程序；
所述通信总线实现处理器和存储器之间的连接通信；
所述处理器执行所述计算机可读程序时实现如上任一所述的灰阶强度数据的处理方法中的步骤，和/或实现如上任一所述的亮度数据的提取方法中的步骤。
有益效果：与现有技术相比，本公开提供了一种灰阶强度数据的处理方法、存储介质及终端设备，所述方法包括：选取若干灰阶，测量显示面板在各灰阶下的亮度数据；根据各灰阶对应的曝光时间序列对各灰阶下的显示面板进行拍照，并根据拍摄得到的照片获取各灰阶下各曝光时间下的灰阶强度数据；根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系；根据所述灰阶强度数据与亮度数据的对应关系将灰阶强度数据转换为亮度数据。本公开通过在不同曝光时间下对所选取的灰阶进行拍照；并根据拍摄图片获取到的灰阶强度数据与测量到的亮度数据确定灰阶强度与亮度之间的关系，从而提高灰阶强度数据与亮度数据的转化效率。
附图说明
图1为本公开提供的灰阶强度数据的处理方法的流程图。
图2为本公开提供的灰阶强度数据的处理方法的步骤S30的一个实施例的流程图。
图3为本公开提供的灰阶强度数据的处理方法的步骤S30的一个实施例中灰阶强度数据与曝光时间的拟合曲线。
图4为本公开提供的灰阶强度数据的处理方法的步骤S30的一个实施例中斜率与亮度数据的拟合曲线。
图5为本公开提供的灰阶强度数据的处理方法的步骤S30的一个实施例中误差率与计算亮度数据的拟合曲线。
图6为本公开提供的灰阶强度数据的处理方法的步骤S30的另一个实施例的流程图。
图7为本公开提供的灰阶强度数据的处理方法的步骤S30的另一个实施例中灰阶强度数据与亮度数据的拟合曲线。
图8为本公开提供的灰阶强度数据的处理方法的步骤S30的另一个实施例中斜率与曝光时间的拟合曲线。
图9为本公开提供的灰阶强度数据的处理方法的步骤S30的另一个实施例中误差率与计算亮度数据的拟合曲线。
图10为本公开提供的亮度数据的提取方法的流程图。
图11为本公开提供的一种终端设备的结构原理图。
具体实施方式
本公开提供一种灰阶强度数据的处理方法、存储介质及终端设备，为使本公开的目的、技术方案及效果更加清楚、明确，以下参照附图并举实施例对本公开进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本公开，并不用于限定本公开。
本技术领域技术人员可以理解，除非特意声明，这里使用的单数形式“一”、“一个”、“所述”和“该”也可包括复数形式。应该进一步理解的是，本公开的说明书中使用的措辞“包括”是指存在所述特征、整数、步骤、操作、元件和/或组件，但是并不排除存在或添加一个或多个其他特征、整数、步骤、操作、元件、组件和/或它们的组。应该理解，当我们称元件被“连接”或“耦接”到另一元件时，它可以直接连接或耦接到其他元件，或者也可以存在中间元件。此外，这里使用的“连接”或“耦接”可以包括无线连接或无线耦 接。这里使用的措辞“和/或”包括一个或更多个相关联的列出项的全部或任一单元和全部组合。
本技术领域技术人员可以理解，除非另外定义，这里使用的所有术语(包括技术术语和科学术语)，具有与本公开所属领域中的普通技术人员的一般理解相同的意义。还应该理解的是，诸如通用字典中定义的那些术语，应该被理解为具有与现有技术的上下文中的意义一致的意义，并且除非像这里一样被特定定义，否则不会用理想化或过于正式的含义来解释。
下面结合附图，通过对实施例的描述，对公开内容作进一步说明。
本实施例提供了一种灰阶强度数据的处理方法，如图1所示，所述方法包括：
S10、选取若干灰阶，测量显示面板在各灰阶下的亮度数据。
具体地，所述若干灰阶可以是随机选取，将随机选取若干灰阶设置为灰阶，以便于根据所述灰阶计算灰阶强度数据与亮度数据的对应关系。此外，测量显示面板在各灰阶下的亮度数据也是采用CA310对显示面板在各灰阶下的亮度进行测量，以得到测量亮度数据。在本实施中，所述若干灰阶可以为6个灰阶，所述6个灰阶可以分别为46/86/126/166/206/246，也就是说，将46/86/126/166/206/246这6个灰阶作为数据采集灰阶，并采用CA310对显示面板在46/86/126/166/206/246灰阶下的亮度进行测量。
S20、根据各灰阶对应的曝光时间序列对各灰阶下的显示面板进行拍照，并根据拍摄得到的照片获取各灰阶下各曝光时间下的灰阶强度数据。
具体地，所述各灰阶对应的曝光时间序列为预先设置，每个灰阶对应的曝光时间序列均包含若干个曝光时间，所述若干个曝光时间按照曝光时长进行排序。例如，曝光时间序列为{416.65ms、99.996ms、49.998ms、33.332ms、16.666ms}，也就是说，所述预测曝光时间序列包括曝光时间分别为416.65ms、99.996ms、49.998ms、33.332ms以及16.666ms。所述根据各灰阶对应的曝光时间序列对各灰阶下的显示面板进行拍照指的是在预设曝光时间序列包含的各曝光时间下，分别对各灰阶下的显示面板进行拍照，以得到各曝光时间下照片。这里以6个灰阶和每个灰阶对应5个曝光时间为例，每个灰阶在每个曝光时间下对应一张照片，也就是说，每个灰阶对应5张照片，那么6个灰阶可以 得到30张照片。
示例性地，所述根据各灰阶对应的曝光时间序列对各灰阶下的显示面板进行拍照，并根据拍摄得到的照片获取各灰阶下各曝光时间下的灰阶强度数据具体包括：
对于每个灰阶，获取所述灰阶对应的曝光时间序列，并通过工业相机按照曝光时间序列对所述灰阶下的显示面板进行拍照；
获取拍照得到的照片的灰阶强度数据。
具体地，所述工业相机为普通工业相机，例如，CA310等。所述预设曝光时间序列中的曝光时间可以按照时长升序排列，也可以按照时长降序排列。并且在获取照片时，可以对于每个曝光时间，分别获取各灰阶对应的照片；也可以是对于每个灰阶，分别获取各曝光时间对应的照片。当然，在实际应用中，还可以采用其他方式获取照片，只要可以获取到本公开所需的照片的方法即可，这里就不一一赘述。
S30、根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系。
具体地，所述获取到的所有灰阶强度数据指的是各曝光时间下各灰阶对应的照片提取到的灰阶强度数据。由于对于每个灰阶，根据该灰阶对应的曝光时间序列包含的曝光时间数量可以确定各灰阶对应的灰阶照片的数量，其中，灰阶照片的数量等于曝光时间数量，从而所有灰阶强度数据的数量等于各灰阶对应的曝光时间数量的和而测量得到的亮度数据的数量为灰阶数量，由此，在获取到灰阶强度数据和亮度数据时，需要对灰阶强度数据变换，在根据变换后的数据确定灰阶强度数据与亮度数据的对应关系。
基于此，在实施例的一个实现方式中，所述根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系具体包括：
S31、对于每个灰阶，根据所述灰阶对应的灰阶强度数据以及曝光时间序列确定曝光时间与灰阶强度数据的线性对应关系；
S32、提取各灰阶的曝光时间与灰阶强度数据的线性对应关系的斜率，并确定提取到的斜率与亮度数据的对应关系；
S33、根据曝光时间与灰阶强度数据的线性对应关系和斜率与亮度数据的对应关系 计算灰阶强度数据与亮度数据的对应关系。
具体地，本实施例选取46/86/126/166/206/246六个灰阶为数据采集灰阶，各灰阶对应的曝光时间序列包含的曝光时间可以不同。那么，各灰阶在其对应的曝光时间序列中的各曝光时间对应有灰度强度数据，这样可以以曝光时间为x轴坐标，灰度强度数据为y轴坐标进行描点拟合，如图3所示，所述曝光时间与灰阶强度数据的描点拟合成的拟合曲线为直线。也就是说，各灰阶下，灰阶强度数据I与曝光时间t呈线性关系，所述灰阶强度数据I与曝光时间t的对应关系式可以为：
I＝a*t+b
其中，a为灰阶强度数据与曝光时间的拟合曲线的斜率，b为灰阶强度数据与曝光时间的拟合曲线的截距。
进一步，在获取到各灰阶下的灰阶强度数据与曝光时间的拟合曲线后，提取各拟合曲线的曲线斜率a，并将所述曲线斜率a与各灰阶下的亮度数据进行描点，如图4所示，所述斜率与亮度数据描点拟合成的拟合曲线为直线，即所述斜率a与亮度数据L呈线性关系，所述所述斜率a与亮度数据L呈线性关系的表达式可以为：
a＝a’*L+b’
其中，a’为图中所述斜率与亮度数据的拟合曲线的斜率，b’为所述斜率与亮度数据的拟合曲线的截距。
那么，有由灰阶强度数据I与曝光时间t的对应关系式和与斜率a与亮度数据L的对应关系式可以得出：
I＝(a’*L+b’)*t+b。
从而找到了亮度数据L与灰阶强度数据I之间的转换关系。同时，为了便于亮度数据的计算，将亮度数据L与灰阶强度数据I之间的转换关系式中的b和b’略去，从而可以得到近似亮度L与灰阶强度数据I之间的转换关系，即L＝I/(a’*t)，其中，所述a’优选为0.02207。
进一步，为了提高亮度数据转换的准确性，在获取到近似亮度L与灰阶强度数据I之间的转换关系后，可以对所述近似亮度L与灰阶强度数据I之间的转换关系进行修正。 相应的，所述根据所述曝光时间与灰阶强度数据的对应关系和斜率与其亮度数据的对应关系计算灰阶强度数据与亮度数据的对应关系之后还包括：
对于每个灰阶，根据所述灰阶强度数据与亮度数据的对应关系计算各灰阶的估计亮度数据；
计算所述估计亮度数据与亮度数据的误差率，并根据所述误差率与亮度数据确定误差率与亮度数据之间的对应关系；
采用所述误差率与亮度数据之间的对应关系对所述灰阶强度数据与亮度数据的对应关系进行修正。
具体地，在获取到近似亮度L与灰阶强度数据I之间的转换关系后，将各灰阶下的灰阶强度数据I和曝光时间t带入近似亮度L与灰阶强度数据I之间的转换关系进行亮度L计算，可以发现与实际CA310测量的亮度有一定的误差，这就需要进行误差补偿，以减小相应误差。在本实施例中，根据计算得到的亮度数据与测量得到的亮度数据来计算亮度误差率。
对各灰阶下的灰阶亮度和亮度误差率E进行描点，得到亮度误差率随灰阶亮度变化的曲线关系，如图5所示，对图中的曲线进行拟合，则可以得到亮度误差率E与亮度数据之间的函数关系，所述亮度误差率与亮度数据的对应关系可以为E＝E0+A1*(1-exp(-L/t1))+A2*(1-exp(-L/t2))。在本实施例中，所述E0＝0.61517；A1＝-0.14434；t1＝461.18268；A2＝-0.45197；t2＝26.65768。综上可知，灰阶强度数据与亮度数据的对应关系可以为：L1＝L±L*E，其中L为近似亮度，E为误差率，L1为最终补偿之后的亮度数据。
进一步，在本公开的另一个实施例中，如图6所示，所述根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系具体包括：
H31、对于每个曝光时间，根据其对应的各灰阶强度数据以及相应的亮度数据确定亮度数据与灰阶强度数据的线性对应关系；
H32、提取各曝光时间对应的亮度数据与灰阶强度数据的线性对应关系的斜率，并确定斜率与亮度数据的对应关系；
H33、根据所述亮度数据与灰阶强度数据的对应关系和斜率与亮度数据的对应关系计算灰阶强度数据与亮度数据的对应关系。
具体地，各灰阶对应的曝光时间序列包含的时间相同，例如，曝光时间序列包含的曝光时间分别为：416.65/99.996/49.998/33.332/16.666ms五个时间为数据采集目标曝光时间，在获取到各灰阶的亮度数据以及在曝光时间下各灰阶的灰阶强度数据后。对各曝光时间下，将各灰阶的亮度数据与灰阶强度数据进行描点拟合，如图7所示，所述亮度数据与灰阶强度数据的描点拟合成的拟合曲线为直线。也就是说，各曝光时间下，灰阶强度数据I与亮度数据L呈线性关系，所述灰阶强度数据I与亮度数据L的对应关系式可以为：
I＝k*L+b
其中，k为灰阶强度数据与亮度数据的拟合曲线的斜率，b为灰阶强度数据与亮度数据的拟合曲线的截距。
进一步，在获取到各曝光时间下的灰阶强度数据与亮度数据的拟合曲线后，提取各拟合曲线的曲线斜率k，并将所述曲线斜率k与各曝光时间进行描点，如图8所示，所述斜率与曝光时间描点拟合成的拟合曲线为直线，即所述斜率k与曝光时间t呈线性关系，所述所述斜率a与曝光时间t呈线性关系的表达式可以为：
k＝k’*t+b’
其中，k’为所述斜率与曝光时间的拟合曲线的斜率，b’为所述斜率与曝光时间的拟合曲线的截距。
那么，有由灰阶强度数据I与亮度数据L的对应关系式和与斜率k与曝光时间t的对应关系式可以得出：
I＝(k’*t+b’)*L+b。
从而找到了亮度数据L与灰阶强度数据I之间的转换关系。同时，为了便于亮度数据的计算，将亮度数据L与灰阶强度数据I之间的转换关系式中的b和b’略去，从而可以得到近似亮度L与灰阶强度数据I之间的转换关系，即L＝I/(k’*t)，其中，所述k’优选为0.02574。
此外，为了提高亮度数据转换的准确性，在获取到近似亮度L与灰阶强度数据I之间的转换关系后，可以对所述近似亮度L与灰阶强度I之间的转换关系进行修正。本实施例的修改过程与上述实施例的修正过程相同，对各灰阶下的灰阶亮度和亮度误差率E进行描点，得到亮度误差率随灰阶亮度变化的曲线关系，如图9所示，对图中的曲线进行拟合，则可以得到亮度误差率E与亮度数据之间的函数关系，所述亮度误差率与亮度数据的对应关系可以为：E＝E0+A1*(1-exp(-L/t1))+A2*(1-exp(-L/t2))，其中E0＝0.32799；A1＝-0.17479；t1＝45.05126；A2＝-0.29191；t2＝5.8646。综上可知，灰阶强度数据转换为亮度数据的函数关系为：L1＝L±L*E，其中L为近似亮度，E为误差率，L1为最终补偿之后的亮度。
S40、根据所述灰阶强度数据与亮度数据的对应关系将灰阶强度数据转换为亮度数据。
具体地，在获取到灰阶强度数据与亮度数据的对应关系，可以根据所述灰阶强度数据与亮度数据的对应关系进行其对应的亮度数据。可以理解的是，在获取到灰阶强度数据与亮度数据的对应关系确定的情况下，在获取到灰阶强度数据后，可以根据灰阶强度数据计算该灰阶强度数据对应的亮度数据。同时，因为在获取到灰阶强度数据与亮度数据的对应关系后，对所述灰阶强度数据与亮度数据的对应关系进行修改，从而在根据所述灰阶强度数据与亮度数据的对应关系是根据修正后的灰阶强度数据与亮度数据的对应关系将灰阶强度数据转换为亮度数据。
基于上述灰阶强度数据的处理方法，本实施例还提供了一种亮度数据的提取方法，其中，应用上述实施例所述灰阶强度数据的处理方法，如图10所示，所述亮度数据的提取方法包括：
M10、获取显示面板的图像，并根据所述图像获取所述显示面板的灰阶强度数据；
M20、根据所述灰阶强度数据与亮度数据的对应关系将所述灰阶强度数据转换为亮度数据，以得到所述显示面板的亮度数据。
具体地，所述显示面板的图像是通过工业相机拍摄的所述显示面板的图像，并且在获取到所述图像后，提取所述图像的灰阶强度数据，以得到显示面板的灰阶强度数据， 再根据灰阶强度数据与亮度数据的对应关系计算显示面板的亮度。
基于上述灰阶强度数据的处理方法，本公开还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存储有一个或者多个程序，所述一个或者多个程序可被一个或者多个处理器执行，以实现如上述实施例所述的灰阶强度数据的处理方法中的步骤。
本公开还提供了一种终端设备，如图11所示，其包括至少一个处理器(processor)20；显示屏21；以及存储器(memory)22，还可以包括通信接口(Communications Interface)23和总线24。其中，处理器20、显示屏21、存储器22和通信接口23可以通过总线24完成相互间的通信。显示屏21设置为显示初始设置模式中预设的用户引导界面。通信接口23可以传输信息。处理器20可以调用存储器22中的逻辑指令，以执行上述实施例中的方法。
此外，上述的存储器22中的逻辑指令可以通过软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。
存储器22作为一种计算机可读存储介质，可设置为存储软件程序、计算机可执行程序，如本公开实施例中的方法对应的程序指令或模块。处理器20通过运行存储在存储器22中的软件程序、指令或模块，从而执行功能应用以及数据处理，即实现上述实施例中的方法。
存储器22可包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序；存储数据区可存储根据终端设备的使用所创建的数据等。此外，存储器22可以包括高速随机存取存储器，还可以包括非易失性存储器。例如，U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等多种可以存储程序代码的介质，也可以是暂态存储介质。
此外，上述存储介质以及终端设备中的多条指令处理器加载并执行的具体过程在上述方法中已经详细说明，在这里就不再一一陈述。
最后应说明的是：以上实施例仅用以说明本公开的技术方案，而非对其限制；尽管参照前述实施例对本公开进行了详细的说明，本领域的普通技术人员应当理解：其依然 可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本公开各实施例技术方案的精神和范围。

Claims (14)

  1. 一种灰阶强度数据的处理方法，其中，所述方法包括：
    选取若干灰阶，测量显示面板在各灰阶下的亮度数据；
    根据各灰阶对应的曝光时间序列对各灰阶下的显示面板进行拍照，并获取拍照得到的照片的灰阶强度数据；
    根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系；
    根据所述灰阶强度数据与亮度数据的对应关系将灰阶强度数据转换为亮度数据。
  2. 根据权利要求1所述灰阶强度数据的处理方法，其中，所述根据各灰阶对应的曝光时间序列对各灰阶下的显示面板进行拍照，并获取拍照得到的照片的灰阶强度数据具体包括：
    对于每个灰阶，获取该灰阶对应的曝光时间序列，并通过工业相机按照曝光时间序列对该灰阶下的显示面板进行拍照；
    获取拍照得到的各照片的灰阶强度数据。
  3. 根据权利要求1所述灰阶强度数据的处理方法，其中，所述根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系具体包括：
    对于每个灰阶，根据该灰阶对应的灰阶强度数据以及曝光时间序列确定曝光时间与灰阶强度数据的线性对应关系；
    提取各灰阶的曝光时间与灰阶强度数据的线性对应关系的斜率，并确定提取到的斜率与亮度数据的对应关系；
    根据曝光时间与灰阶强度数据的线性对应关系和斜率与亮度数据的对应关系计算灰阶强度数据与亮度数据的对应关系。
  4. 根据权利要求3所述灰阶强度数据的处理方法，其中，对于每个灰阶，该灰阶对应的曝光时间序列包括若干个曝光时间，所述若干个曝光时间按照曝光时长排序。
  5. 根据权利要求1所述灰阶强度数据的处理方法，其中，所述根据获取到的所有灰阶强度数据以及亮度数据确定灰阶强度数据与亮度数据的对应关系具体包括：
    对于每个曝光时间，根据其对应的各灰阶强度数据以及相应的亮度数据确定亮度 数据与灰阶强度数据的线性对应关系；
    提取各曝光时间对应的亮度数据与灰阶强度数据的线性对应关系的斜率，并确定斜率与亮度数据的对应关系；
    根据所述亮度数据与灰阶强度数据的对应关系和斜率与亮度数据的对应关系计算灰阶强度数据与亮度数据的对应关系。
  6. 根据权利要求5所述灰阶强度数据的处理方法，其中，若干灰阶中的每个灰阶对应的曝光时间序列均包括若干个曝光时间，并且各灰阶各自对应的曝光时间序列相同。
  7. 根据权利要求3或5所述灰阶强度数据的处理方法，其中，所述根据所述曝光时间与灰阶强度数据的对应关系和斜率与其亮度数据的对应关系计算灰阶强度数据与亮度数据的对应关系之后还包括：
    对于每个灰阶，根据所述灰阶强度数据与亮度数据的对应关系计算各灰阶的估计亮度数据；
    计算所述估计亮度数据与亮度数据的误差率，并根据所述误差率与亮度数据确定误差率与亮度数据的对应关系；
    采用所述误差率与亮度数据的对应关系对所述灰阶强度数据与亮度数据的对应关系进行修正。
  8. 根据权利要求3或5所述灰阶强度数据的处理方法，其中，所述斜率与其亮度数据的对应关系呈线性关系。
  9. 根据权利要求1所述灰阶强度数据的处理方法，其中，所述获取到的所有灰阶强度数据包括各曝光时间下各灰阶对应的照片提取到的灰阶强度数据。
  10. 根据权利要求1所述灰阶强度数据的处理方法，其中,对于每个所述灰阶，灰阶照片的数量等于曝光时间数量。
  11. 一种亮度数据的提取方法，其中，应用如权利要求1-10任一所述灰阶强度数据的处理方法，所述亮度数据的提取方法包括：
    获取显示面板的图像，并根据所述图像获取所述显示面板的灰阶强度数据；
    根据所述灰阶强度数据与亮度数据的对应关系将所述灰阶强度数据转换为亮度数 据，以得到所述显示面板的亮度数据。
  12. 根据权利要求11所述亮度数据的提取方法，其中，所述获取显示面板的图像，并根据所述图像获取所述显示面板的灰阶强度数据具体为：
    通过工业相机拍摄所述显示面板的图像，并根据所述图像获取所述显示面板的灰阶强度数据。
  13. 一种计算机可读存储介质，所述计算机可读存储介质存储有一个或者多个程序，所述一个或者多个程序可被一个或者多个处理器执行，以实现如权利要求1～10任意一项所述的灰阶强度数据的处理方法中的步骤，和/或以实现如权利要求11～12任意一项所述的亮度数据的提取方法中的步骤。
  14. 一种终端设备，其包括：处理器、存储器及通信总线；所述存储器上存储有可被所述处理器执行的计算机可读程序；
    所述通信总线实现处理器和存储器之间的连接通信；
    所述处理器执行所述计算机可读程序时实现如权利要求1～10任意一项所述的灰阶强度数据的处理方法中的步骤，和/或实现如权利要求11～12任意一项所述的亮度数据的提取方法中的步骤。
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