CN113177939A - Lamp panel detection method and device, electronic equipment and storage medium - Google Patents
Lamp panel detection method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application provides a lamp panel detection method and device, electronic equipment and a storage medium, relates to the technical field of color inspection, and aims to improve the accuracy and efficiency of lamp panel detection; the method comprises the following steps: acquiring an RGB image of a lamp panel to be detected; determining an RGB color matrix of the lamp panel to be detected according to the RGB image, and determining a target color matrix of the lamp panel to be detected according to the RGB color matrix; and determining the target grade corresponding to the lamp panel to be detected according to the target color matrix. Because this application embodiment is according to the target color matrix that detects the lamp plate of waiting to detect the RGB color matrix of lamp plate and confirm the target rank that detects the lamp plate and correspond according to the target color matrix who determines, need not artifical the detection, thereby improved the efficiency and the rate of accuracy that the lamp plate detected.
Description
Technical Field
The present application relates to the field of color inspection technologies, and in particular, to a lamp panel detection method and apparatus, an electronic device, and a storage medium.
Background
In the Light-Emitting Diode (LED) display screen industry, due to the size limitation of materials, a large LED display screen is usually obtained by splicing and welding a plurality of small LED lamp panels on a standard-sized circuit board with black background. Before welding LED lamp beads, in order to ensure the consistency of the lamp panel in a screen extinguishing state, manufacturers spray ink color oil on the substrate, so that the background of the spliced LED display screen looks consistent under the condition of not lighting. However, in actual production, due to technical errors, such as inconsistency of ink-jet colors, batch differences of lamp beads, and the like, the lamp panels in the off state have visual differences, so that the display screen spliced by a plurality of LED lamp panels has the phenomena of uneven color, rag screen, and the like, and the quality of the LED display screen can be reduced.
At present, LED display screen manufacturers need to detect LED lamp panels before producing LED display screens. The traditional detection method of the LED lamp panel is manual detection; specifically, the LED lamp panel to be detected is observed through artificial naked eyes, whether the color of the LED lamp panel is different from that of a target lamp panel or not is determined, and the target level corresponding to the LED lamp panel is determined. However, the detection efficiency of this method is low, and it is difficult to meet the speed requirement in mass production, and when the target level corresponding to the LED lamp panel is determined by human eyes, the error observed by human eyes fluctuates greatly, so that the detection result is inaccurate.
Disclosure of Invention
The embodiment of the application provides a lamp panel detection method and device, electronic equipment and a storage medium, and can improve the accuracy and efficiency of lamp panel detection.
In a first aspect, an embodiment of the present application provides a lamp panel detection method, where the method includes:
acquiring an RGB image of a lamp panel to be detected;
determining an RGB color matrix of the lamp panel to be detected according to the RGB image, and determining a target color matrix of the lamp panel to be detected according to the RGB color matrix;
and determining the target grade corresponding to the lamp panel to be detected according to the target color matrix.
Because this application embodiment is according to the RGB colour matrix that detects the lamp plate, after the target colour matrix that detects the lamp plate is confirmed to detect, the target rank that detects the lamp plate and correspond is confirmed according to the target colour matrix that determines, need not artifical the confirming to the efficiency and the rate of accuracy that the lamp plate detected have been improved.
An optional implementation way does, acquire the RGB image of treating the lamp plate that detects, include:
acquiring an original RAW image of the lamp panel to be detected by a camera;
determining the RGB value of each pixel point in the central area of the RAW image; the central area is an area which is positioned in the center of the RAW image and contains a set number of pixel points;
and obtaining the RGB image of the lamp panel to be detected based on the RGB values of the pixel points.
Because this application embodiment acquires the RAW image of treating the lamp plate of treating through camera collection, when reaching the hardware cost purpose that reduces the lamp plate and detect, regard the central zone of RAW image as the RGB image of treating the lamp plate of treating, when having avoided the influence of the RGB image of treating the detection lamp plate in the interference zone in the RAW image, reduce the influence of the surface texture or the surface smoothness of treating the lamp plate of treating to the testing result to data acquisition precision has been improved.
An optional implementation way does, the RGB color matrix according to the RGB image determination lamp panel that waits to detect includes:
respectively determining an R value, a G value and a B value corresponding to each pixel point in the RGB image;
and forming an RGB color matrix of the lamp panel to be detected by using the average value of the R values, the average value of the G values and the average value of the B values corresponding to each pixel point.
Because this application embodiment constitutes the RGB color matrix that waits to detect the lamp plate with the average value of the R value that each pixel point corresponds in the RGB image, the average value of G value and the average value of B value for the RGB color matrix can show the colour situation of waiting to detect the lamp plate well.
An optional implementation way does, according to the RGB color matrix determines the target color matrix of the lamp panel to be detected, including:
converting the RGB color matrix to an XYZ color matrix within an XYZ color space based on a conversion matrix; the conversion matrix is obtained based on a reference XYZ color matrix and a reference RGB color matrix corresponding to a standard color card;
converting the XYZ color matrix to a target color matrix in LAB space.
According to the embodiment of the application, the RGB color matrix is converted into the target color matrix in the LAB space, so that the consistency with the acuity of human eyes is achieved when the target grade corresponding to the lamp panel to be detected is determined according to the target color matrix subsequently, and the accuracy of determining the target grade is improved.
An optional implementation manner is that, according to the target color matrix, determining the target level corresponding to the lamp panel to be detected includes:
respectively determining a target color range in which each target color value in the target color matrix is located according to a preset color range;
and determining the target grade corresponding to the lamp panel to be detected according to any one target color range based on the corresponding relation between the preset color range and the grade.
In an alternative embodiment, the transformation matrix is set by:
acquiring a reference RAW image of a standard color card under a set light source through a camera; the standard color card comprises a plurality of reference colors;
respectively determining a central area corresponding to each reference color in the reference RAW image, and determining an average value of R values, an average value of G values and an average value of B values of each pixel point in the central area corresponding to each reference color;
forming a reference RGB color matrix by using the average value of the R values, the average value of the G values and the average value of the B values corresponding to each reference color;
acquiring an LAB color matrix of the standard color card in a set lighting environment; and converting the LAB color matrix to a reference XYZ color matrix within the XYZ color space;
determining the conversion matrix from the reference RGB color matrix and the reference XYZ color matrix.
In a second aspect, an embodiment of the present application provides a lamp panel detection device, the device includes:
the acquisition unit is used for acquiring an RGB image of the lamp panel to be detected;
the first determining unit is used for determining an RGB color matrix of the lamp panel to be detected according to the RGB image and determining a target color matrix of the lamp panel to be detected according to the RGB color matrix;
and the second determining unit is used for determining the target grade corresponding to the lamp panel to be detected according to the target color matrix.
An optional implementation manner is that the obtaining unit is specifically configured to:
acquiring an original RAW image of the lamp panel to be detected by a camera;
determining the RGB value of each pixel point in the central area of the RAW image; the central area is an image area which is positioned in the center of the RAW image and contains a set number of pixel points;
and obtaining the RGB image of the lamp panel to be detected based on the RGB values of the pixel points.
An optional implementation manner is that the first determining unit is specifically configured to:
respectively determining an R value, a G value and a B value corresponding to each pixel point in the RGB image;
and forming an RGB color matrix of the lamp panel to be detected by using the average value of the R values, the average value of the G values and the average value of the B values corresponding to each pixel point.
An optional implementation manner is that the first determining unit is specifically configured to:
converting the RGB color matrix to an XYZ color matrix within an XYZ color space based on a conversion matrix; the conversion matrix is obtained based on a reference XYZ color matrix and a reference RGB color matrix corresponding to a standard color card;
converting the XYZ color matrix to a target color matrix in LAB space.
An optional implementation manner is that the second determining unit is specifically configured to:
respectively determining a target color range in which each target color value in the target color matrix is located according to a preset color range;
and determining the target grade corresponding to the lamp panel to be detected according to any one target color range based on the corresponding relation between the preset color range and the grade.
In an alternative embodiment, the transformation matrix is set by:
acquiring a reference RAW image of a standard color card under a set light source through a camera; the standard color card comprises a plurality of reference colors;
respectively determining a central area corresponding to each reference color in the reference RAW image, and determining an average value of R values, an average value of G values and an average value of B values of each pixel point in the central area corresponding to each reference color;
forming a reference RGB color matrix by using the average value of the R values, the average value of the G values and the average value of the B values corresponding to each reference color;
acquiring an LAB color matrix of the standard color card in a set lighting environment; and converting the LAB color matrix to a reference XYZ color matrix within the XYZ color space;
determining the conversion matrix from the reference RGB color matrix and the reference XYZ color matrix.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, where the memory stores a computer program that is executable on the processor, and when the computer program is executed by the processor, the method for detecting a lamp panel according to any one of the above first aspects is implemented.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the steps of any one of the above-mentioned lamp panel detection methods in the first aspect are implemented.
For technical effects brought by any one implementation manner in the second aspect to the fourth aspect, reference may be made to technical effects brought by a corresponding implementation manner in the first aspect, and details are not described here.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic view of a lamp panel detection scene provided in an embodiment of the present application;
fig. 2 is a schematic flow chart of a lamp panel detection method provided in an embodiment of the present application;
fig. 3 is a schematic view of a complete flow of a lamp panel detection method provided in an embodiment of the present application;
fig. 4 is a block diagram of a lamp panel detection apparatus provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Some terms appearing herein are explained below:
(1) LAB color space: the color model is a device-independent color model and is also a color model based on physiological characteristics. This means that the LAB color model is a digital method to describe the human visual perception. The L component in the LAB color space is used for expressing the brightness of the pixel, the value range is [0,100], and the L component expresses from pure black to pure white; a represents the range from red to green, and the value range is [127, -128 ]; b represents the range from yellow to blue, and the value range is [127, -128 ].
(2) D50: the cumulative percent particle size distribution for a sample at 50% corresponds to the particle size. Its physical meaning is that the particle size is greater than 50% of its particles and less than 50% of its particles, D50 also being referred to as the median or median particle size.
(3) Bayer array: is one of the main technologies for realizing the color image shooting of the CCD or CMOS sensor. It is a 4 x 4 array, which is composed of 8 green, 4 blue and 4 red pixels, and when converting the gray pattern into a color picture, it will use 2 x 2 matrix to do 9 operations, and finally generate a color pattern. The Bayer array simulates the sensitivity of human eyes to colors, and the gray information is converted into color information by adopting an arrangement mode of 1 red, 2 green and 1 blue. The sensor adopting the technology only has one color information per pixel actually, interpolation calculation needs to be carried out by using a de-mosaic algorithm, and finally an image is obtained.
(4) Black Level Correction (BLC): i.e. the lowest point of black, in the case of 8bit data, means that on a display device which has been calibrated, there is no video signal level at which a line is lit. The corresponding signal level when the image data is 0 is defined.
(5) White Balance (WB): is an index for describing the white accuracy after the red, green and blue three primary colors are mixed and generated in the display.
(6) Color Filter Array (CFA) interpolation: is a process of generating a high resolution image from a low resolution image under a model-based framework to recover the information lost in the image. And means that the values of the other two channel components lost by the pixel point are recovered according to the single channel component of the pixel point.
In the embodiment of the present application, the term "and/or" describes an association relationship of associated objects, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
When the display screen on electronic equipment is used in production, usually need splice the polylith lamp plate, obtain a display screen. In order to make the display screen color that the concatenation obtained even, avoid appearing rag screen problem, need with the lamp plate concatenation of same rank, weld the dress together, obtain the display screen. Wherein, the lamp plate of same rank, the colour difference that can not show by people's eye. Therefore, before the display screen is produced, each produced lamp panel needs to be detected, and the level corresponding to each lamp panel is determined respectively.
At present, the traditional detection method of the LED lamp panel is manual detection: and observing the LED lamp panel to be detected through artificial naked eyes, and determining the target level corresponding to the LED lamp panel. However, this method has low detection efficiency and low accuracy.
Based on the above problems, embodiments of the present application provide a lamp panel detection method and apparatus, an electronic device, and a storage medium.
Fig. 1 shows an application scenario of the lamp panel detection method provided in the embodiment of the present application, and as shown in fig. 1, the application scenario includes a terminal device 10, a camera 20, and a lamp panel 30 to be detected. The terminal device 10 may be a computer, a notebook, a tablet computer, etc.; the camera 20 may be a digital camera. The terminal device 10 and the camera 20 may be connected by a wired connection or a wireless connection and transmit data. Terminal equipment 10 shoots lamp plate 30 to be detected through camera 20, and the RAW image of lamp plate 30 to be detected is detected in the collection to detect the lamp plate based on the RAW image that gathers, confirm to detect the target rank that the lamp plate corresponds. By the method, the level corresponding to each generated lamp panel can be determined, the lamp panels belonging to different levels are separately stored, and only the lamp panels belonging to the same level are stored in one storage position, so that the lamp panels of the same level are taken from one storage position to be assembled to obtain the display screen with uniform color during subsequent production of the display screen.
In other embodiments, the lamp panel detection method provided by the embodiment of the application can also be applied to a server. The terminal equipment shoots the lamp panel to be detected through the camera, collects RAW images of the lamp panel to be detected and sends the received RAW images to the server. The server can receive RAW images of the lamp panel to be detected sent by each terminal device 10, detect the lamp panel to be detected based on the received RAW images, and determine the target level corresponding to the lamp panel to be detected. The server may be a server or a server cluster or a cloud computing center composed of a plurality of servers, or a virtualization platform, or may be a personal computer, a medium-and-large-sized computer, or a computer cluster, etc.
As shown in fig. 2, an embodiment of the present application provides a lamp panel detection method, including the following steps:
step S201, obtaining an RGB image of the lamp panel to be detected.
The lamp plate that detects is treated to this application embodiment accessible camera and is shot, obtains treating the RGB image that detects the lamp plate.
Note that the camera may be a digital camera.
In some embodiments, the RGB image of the lamp panel to be detected is acquired by the digital camera in a shooting mode perpendicular to the lamp panel to be detected.
In concrete implementation, this application embodiment can wait to detect the lamp plate as for the light source incasement, and the lighting source of light source incasement is the customization light source, carries out perpendicular shooting to waiting to detect the lamp plate through digital camera, acquires the RGB image that waits to detect the lamp plate.
It should be noted that, in the embodiment of the application, in order to reduce the influence of the edge of the field of view of the camera lens on the brightness uniformity, the field angle of the camera lens is debugged, so that the lamp panel to be detected is placed in the center of the field of view of the camera, and occupies no more than 33% of the area.
For example, to make the set light source have better uniformity, the customized light source may satisfy the following conditions: and testing the illuminance within the range of 300 x 168.75mm according to the distance of 500mm, wherein the central illuminance in the illuminance range of the customized light source is more than 600lux, and the difference between the four-corner edge illuminance and the central illuminance is within 5%.
Step S202, determining an RGB color matrix of the lamp panel to be detected according to the RGB image, and determining a target color matrix of the lamp panel to be detected according to the RGB color matrix.
According to the method and the device, after the RGB image of the lamp panel to be detected is obtained, the RGB color matrix of the lamp panel to be detected is determined according to the RGB values of all the pixel points in the RGB image.
In some embodiments, the target color matrix of the lamp panel to be detected is determined according to the determined RGB color matrix.
It should be noted that the target color matrix is a color matrix of the lamp panel to be detected located in the LAB color space.
And S203, determining the target level corresponding to the lamp panel to be detected according to the target color matrix.
In some embodiments, after determining a target color matrix of the lamp panel to be detected in the LAB color space, determining a target level corresponding to the lamp panel to be detected according to the determined target color matrix.
Because this application embodiment is according to the RGB colour matrix that detects the lamp plate, after the target colour matrix that detects the lamp plate is confirmed to detect, the target rank that detects the lamp plate and correspond is confirmed according to the target colour matrix that determines, need not artifical the confirming to the efficiency and the rate of accuracy that the lamp plate detected have been improved.
In some embodiments, the RGB image of the lamp panel to be detected can be acquired in the following manner in the embodiments of the present application.
According to the embodiment of the application, the RAW image of the lamp panel to be detected is collected through the camera, the RGB value of each pixel point in the central area of the RAW image is determined, and the RGB image of the lamp panel to be detected is obtained according to the determined RGB value of each pixel point.
The central area is an image area located in the center of the RAW image and including a set number of pixels.
In specific implementation, the lamp panel to be detected is vertically shot through the camera to obtain the RAW image of the lamp panel to be detected, which is acquired by the camera; and determining the RGB value of each pixel point in the central area of the RAW image according to the sorting mode of the Bayer array of the RAW image.
For example, RGB values of 1000 × 500 pixels in the central region of the lamp panel to be detected are calculated according to the arrangement of the bayer array of the RAW data.
In some embodiments, after determining the RGB values corresponding to the respective pixel points in the central area of the RAW image, the embodiment of the present application obtains the initial RGB image corresponding to the lamp panel to be detected.
In specific implementation, after the initial RGB image is obtained, the RGB image is subjected to image processing to obtain an RGB image corresponding to the lamp panel to be detected.
Specifically, the RGB image of the lamp panel to be detected can be obtained by performing image processing operations such as black level removal operation, color filter matrix interpolation, white balance, and the like on the initial RGB image.
It should be noted that the black level removing operation includes, but is not limited to: median filtering, global mean filtering, and local mean filtering. Color filter matrix interpolation operations include, but are not limited to: nearest neighbor interpolation, bilinear interpolation, bi-quadratic interpolation, bi-cubic interpolation.
In some embodiments, after obtaining an RGB image of a lamp panel to be detected, the R value, the G value, and the B value corresponding to each pixel point in the RGB image are respectively determined; and forming an RGB color matrix of the lamp panel to be detected by using the average value of the R values, the average value of the G values and the average value of the B values corresponding to all the pixel points.
In specific implementation, the R value, the G value and the B value of each phase pixel point in the RGB image of the lamp panel to be detected are respectively determined, and three RGB components are respectively takenAverage value R ofmean、Gmean、BmeanForm an RGB color matrix MRGB：
MRGB＝[Rmean，Gmean，Bmean]
In some embodiments, after determining the RGB color matrix of the lamp panel to be detected, the embodiment of the present application converts the RGB color matrix into an XYZ color matrix in an XYZ color space based on the conversion matrix.
It should be noted that the conversion matrix is a matrix obtained based on the reference XYZ color matrix and the reference RGB color matrix corresponding to the standard color chart.
In some embodiments, the present application embodiments may determine the transformation matrix by:
according to the embodiment of the application, the camera is used for acquiring the reference RAW image of the standard color card under the set light source, and the central area corresponding to each reference color in the reference RAW image is respectively determined.
It should be noted that the standard color chart includes a plurality of reference colors. For example, the standard color chart may be a 24-color international standard color chart.
In some embodiments, the set light source used for collecting the standard color card through the camera is the same as the customized light source used for collecting the lamp panel to be detected.
For example, the 24-color international standard color card is placed in a light source box, and an illumination light source in the light source box is a customized light source which meets the following conditions:
the illuminance of a range of 300X 168.75mm is tested according to a distance of 500mm, wherein the central illuminance is greater than 600lux, and the difference between the four-corner edge illuminance and the central illuminance is within 5%, so that the uniformity is better.
In some embodiments, in order to reduce the influence of the edge of the lens field of view on the brightness uniformity when a 24-color standard color card is shot, the camera lens field angle is debugged, so that the lamp panel to be detected is placed in the center of the field of view of the camera, and the area occupied by the field of view of the lamp panel to be detected is not more than 33%.
After the reference RAW image is obtained, according to the arrangement mode of the bayer array of the reference RAW image, the initial reference RGB values corresponding to the pixel points in the reference RAW image are determined, and the initial reference RGB image of the standard color chart is obtained based on the determined initial reference RGB values corresponding to the pixel points.
In some embodiments, after obtaining the initial reference RGB image of the standard color chart, the embodiments of the present application may perform image processing on the initial reference RGB image to obtain a reference RGB image corresponding to the standard color chart.
Specifically, in the embodiment of the present application, the reference RGB image corresponding to the standard color chart is obtained by performing image processing operations such as black level removal operation, color filter matrix interpolation, white balance, and the like on the initial reference RGB image.
In some embodiments, according to the reference RGB image of the standard color card, the central region of the region corresponding to each reference color in the reference RGB image is extracted respectively.
In specific implementation, in the embodiment of the application, the set number of pixel points in the central area of each reference color are respectively extracted from the reference RGB image to serve as the central area corresponding to each reference color.
For example, in the embodiment of the present application, 100 × 100 pixel points in the center area of 24 reference colors are respectively determined from the reference RGB image, and are used as the center areas corresponding to the 24 reference colors.
In some embodiments, after the central area corresponding to each reference color is determined, the average value of the R values, the average value of the G values, and the average value of the B values of each pixel point in the central area corresponding to each reference color are determined.
The method comprises the steps of extracting an average value of R values, an average value of G values and an average value of B values corresponding to all reference colors respectively to form a reference RGB color matrix; and the reference RGB color matrix is recorded as RGBcard。
For example, the standard color card is a 24-color international standard color card, and the average value of R values, the average value of G values, and the average value of B values corresponding to 24 reference colors are obtained in the embodiments of the present application and are recorded as RGBcard：
(r1，g1，b1)、(r2，g2，b2)···(r24，g24，b24)
Wherein r is1Represents the average value of R values corresponding to the 1 st reference color, g1Represents the average value of G values corresponding to the 1 st reference color, b1Represents the average value of the B value corresponding to the 1 st reference color; r is2Represents the average value of R values corresponding to the 2 nd reference color, g2Represents the average value of G values corresponding to the 2 nd reference color, b2Represents an average value of B values corresponding to the 2 nd reference color; r is24Represents the average value of R values corresponding to the 24 th reference color, g24Represents the average value of G values corresponding to the 24 th reference color, b24The average value of the B values corresponding to the 24 th reference color is shown.
In some embodiments, the conversion matrix is determined according to the determined reference RGB color matrix corresponding to the standard color chart and the determined reference XYZ color matrix corresponding to the standard color chart.
In specific implementation, the embodiments of the present application may determine the reference XYZ color matrix in the following manner.
In some embodiments, the present application embodiments obtain an LAB color matrix for a standard color card in a set lighting environment; and converting the LAB color matrix to a reference XYZ color matrix within the XYZ color space.
In specific implementation, the LAB color matrix can be obtained by querying LAB data of a standard color chart in a set lighting environment, and then the LAB color matrix is converted into a reference XYZ color matrix in an XYZ color space.
In specific implementation, the LAB color matrix is converted into the reference XYZ color matrix by the following formula:
wherein the content of the first and second substances,
where L, A, B denotes the values in the LAB color matrix, X, Y, Z denotes the values in the reference XYZ color matrix, Xn、Yn、ZnIndicating a default value under the set light source.
In addition, X isn、Yn、ZnThe default values under D50 light are 96.42, 100, 82.49, respectively.
For example, the standard color card is a 24-color international standard color card, and the embodiment of the application queries LAB data, namely an LAB color matrix LAB, of the 24-color international standard color card in a D50 lighting environmentcard：
(L1，A1，B1)、(L2，A2，B2)···(L24，A24，B24)
Wherein L is1Represents the average value of L values corresponding to the 1 st reference color, A1Represents the average value of A values corresponding to the 1 st reference color, B1Represents the average value of the B value corresponding to the 1 st reference color; l is2Represents the average value of L values corresponding to the 2 nd reference color, A2Represents the average value of A values corresponding to the 2 nd reference color, B2Represents an average value of B values corresponding to the 2 nd reference color; l is24Represents the average value of L values corresponding to the 24 th reference color, A24Represents the average value of A values corresponding to the 24 th reference color, B24The average value of the B values corresponding to the 24 th reference color is shown.
The examples of this application relate to LABcardConversion to a reference XYZ color matrix in the XYZ color space, denoted as XYZcard：
(X1，Y1，Z1)、(X2，Y2，Z2)···(X24，Y24，Z24)
Wherein, X1Denotes the average value of X values, Y, corresponding to the 1 st reference color1Denotes the average value of Y values, Z, corresponding to the 1 st reference color1Represents the average value of Z values corresponding to the 1 st reference color; x2Denotes the average value of X values, Y, corresponding to the 2 nd reference color2Denotes the average value of Y values, Z, corresponding to the 2 nd reference color2Represents an average value of Z values corresponding to the 2 nd reference color; x24Denotes the average value of X values, Y, corresponding to the 24 th reference color24Denotes the average value of Y values, Z, corresponding to the 24 th reference color24The average value of the Z values corresponding to the 24 th reference color is shown.
In some embodiments, after determining the reference RGB color matrix and the reference XYZ color matrix of the standard color chart, the embodiments of the present application determine the conversion matrix based on the reference RGB color matrix and the reference XYZ color matrix.
In specific implementation, the relationship between the reference RGB color matrix, the reference XYZ color matrix, and the transformation matrix in the embodiment of the present application is:
RGBcard*M＝XYZcard
wherein, RGBcardRepresenting a reference RGB color matrix, M representing a conversion matrix, XYZcardA reference XYZ color matrix is represented.
And, since RGBcardAnd XYZcardThe number of rows is greater than the number of columns, and for an over-determined matrix, a least square method is used for solving a transformation matrix M, namely:
wherein the content of the first and second substances,
is RGBcardTransposed matrix of (3), RGBcardRepresenting a reference RGB color matrix, XYZcardA reference XYZ color matrix is represented.
This application embodiment is through using the RGB value of standard colour chip under the customization light source, transfers the matrix and has set up RGB colour space to XYZ colour space's bridge, and it provides corresponding facility to detect the lamp plate for follow-up when detecting under the even light source of customization.
In some embodiments, after converting the RGB color matrix into an XYZ color matrix in an XYZ color space, the present application embodiment converts the obtained XYZ color matrix into a target color matrix in an LAB space.
In specific implementation, the XYZ color matrix is converted into the target color matrix according to the following formula:
wherein the content of the first and second substances,
wherein L, A, B is the value of three passageways in the LAB space, X, Y, Z is the colour value in the XYZ colour matrix of lamp plate that awaits measuring, Xn、Yn、ZnIndicating a default value under the set light source.
In addition, X isn、Yn、ZnThe default values under D50 light are 96.42, 100, 82.49, respectively.
In some embodiments, after the target color matrix of the lamp panel to be detected is determined, the target color range in which each target color value is located in the target color matrix is determined according to the preset color range.
For example, the target color matrix determined in the embodiment of the present application is [36.03, 4.43, 4.88], and the target color value L is 36.03, the target color value a is 4.43, and the target color value B is 4.88. The preset color range includes, but is not limited to: color range for L: [36.00, 36.99], [37.00, 37.99], [38.00, 39.99 ]; color range for a: [4.00, 4.49], [4.50, 4.89], [4.90, 5.29 ]; color range for B: [4.80, 4.89], [4.90, 4.99], [5.00, 5.19 ]; and according to the determined L-36.03, A-4.43 and B-4.88, determining the target color range in which the target color value L is located in the target color matrix as [36.00, 36.99], the target color value A as [4.00, 4.49] and the target color range in which the target color value B is located as [4.80, 4.89 ].
After determining the target color range where each target color value in the target color matrix is located, determining the target level corresponding to the lamp panel to be detected according to any one target color range based on the corresponding relation between the preset color range and the level.
For example, the correspondence between the preset color range and the level in the embodiment of the present application is shown in table 1:
TABLE 1 corresponding relationship between preset color range and level
| Rank of | L | A | B |
| First gear | 36.00～36.99 | 4.00～4.49 | 4.80～4.89 |
| Second gear | 37.00～37.99 | 4.50～4.89 | 4.90～4.99 |
| Third gear | 38.00～39.99 | 4.90～5.29 | 5.00～5.19 |
Specifically, the distribution of a large number of lamp panels is analyzed, and in combination with the observation result of human eyes, the LED lamp panels in the same batch of a certain process can be generally classified into three levels, i.e. a first level, a second level and a third level in table 1, according to the range of L, A, B values. The lamp panels at the same level can not be observed by human eyes to have obvious difference, and the lamp panels at the same level are spliced into a large screen, so that the cleaning cloth effect can not be caused; the lamp plates of different grades, people's eye observe the difference that can the significance, splice into the large screen with the lamp plate of different grades, lead to the rag effect easily.
For example, in the embodiment of the application, after determining that the target color range where the target color value L is located in the target color matrix is [36.00, 36.99], the target color range where the target color value a is located is [4.00, 4.49], and the target color range where the target color value B is located is [4.80, 4.89], the target level corresponding to the lamp panel to be detected is determined to be the first gear according to the preset corresponding relationship between the color range and the level.
In some embodiments, the target level corresponding to the lamp panel to be detected can be determined according to the target color range where the target color value L in the determined target color matrix is located. In other embodiments, the target level corresponding to the lamp panel to be detected can be determined according to the target color range where the target color value a in the determined target color matrix is located. In other embodiments, the target level corresponding to the lamp panel to be detected can be determined according to the target color range where the target color value B in the determined target color matrix is located.
Specifically, after the target color range is determined, the grade corresponding to the target color range is used as the target grade corresponding to the lamp panel to be detected.
For example, in actual detection, the target color range in which the target color value L is located is mainly adopted in the present application to determine the target level of the lamp panel to be detected. After determining that the target level corresponding to the lamp panel to be detected is the first level according to the target color range where the target color value L is located, if the other two target color values A, B of the lamp panel to be detected are not in the color range corresponding to the first level and the difference value between the other two target color values A, B of the lamp panel to be detected and the endpoint value of the corresponding color range is within the set threshold value, ignoring the difference, and using the first level as the target level corresponding to the lamp panel to be detected; if the other two target color values A, B of the lamp panel to be detected are not in the color range corresponding to the first gear, and the difference value between the end point value of the corresponding color range and the end point value of the corresponding color range is greater than the set threshold value, it is determined that the lamp panel to be detected has a problem.
As shown in fig. 3, an embodiment of the present application provides a complete flowchart of a lamp panel detection method, including the following steps:
step S301, collecting an original RAW image of the lamp panel to be detected under a set light source through a camera.
Note that the camera may be a digital camera.
Step S302, determining an RGB value of each pixel point in the central area of the RAW image.
The central region is a region located in the center of the RAW image and including a set number of pixels.
Step S303, obtaining an RGB image of the lamp panel to be detected based on the RGB values of the pixel points.
Step S304, the R value, the G value and the B value corresponding to each pixel point in the RGB image are respectively determined, and the average value of the R values, the average value of the G values and the average value of the B values corresponding to each pixel point form an RGB color matrix of the lamp panel to be detected.
In step S305, the RGB color matrix is converted into an XYZ color matrix in the XYZ color space based on the conversion matrix.
It should be noted that the conversion matrix is obtained based on the reference XYZ color matrix and the reference RGB color matrix corresponding to the standard color card.
Specifically, the embodiment of the present application may determine the transformation matrix in the following manner:
acquiring a reference RAW image of a standard color card under a set light source through a camera; the standard color card comprises a plurality of reference colors;
respectively determining a central area corresponding to each reference color in the reference RAW image, and determining an average value of R values, an average value of G values and an average value of B values of each pixel point in the central area corresponding to each reference color;
forming a reference RGB color matrix by using the average value of the R values, the average value of the G values and the average value of the B values corresponding to all the reference colors;
acquiring an LAB color matrix of a standard color card in a set lighting environment; converting the LAB color matrix into a reference XYZ color matrix in an XYZ color space;
from the reference RGB color matrix and the reference XYZ color matrix, a conversion matrix is determined.
And step S306, converting the determined XYZ color matrix into a target color matrix in an LAB space.
Step S307, respectively determining a target color range in which each target color value in the target color matrix is located according to a preset color range.
And S308, determining the target grade corresponding to the lamp panel to be detected according to any target color range based on the corresponding relation between the preset color range and the grade.
Based on the same inventive concept, the embodiment of the application also provides a lamp panel detection device, and as the principle of solving the problems of the device is similar to that of the lamp panel detection method, the device can be implemented by referring to the embodiment of the method, and repeated parts are not repeated.
As shown in fig. 4, a structural block diagram of a lamp panel detection apparatus provided in an embodiment of the present application includes:
the acquisition unit 401 is configured to acquire an RGB image of the lamp panel to be detected;
the first determining unit 402 is configured to determine an RGB color matrix of the lamp panel to be detected according to the RGB image, and determine a target color matrix of the lamp panel to be detected according to the RGB color matrix;
and a second determining unit 403, configured to determine, according to the target color matrix, a target level corresponding to the lamp panel to be detected.
An optional implementation manner is that the obtaining unit 401 is specifically configured to:
acquiring an original RAW image of a lamp panel to be detected by a camera;
determining the RGB value of each pixel point in the central area of the RAW image; the central area is an area which is positioned in the center of the RAW image and contains a set number of pixel points;
and obtaining the RGB image of the lamp panel to be detected based on the RGB values of the pixel points.
An optional implementation manner is that the first determining unit 402 is specifically configured to:
respectively determining an R value, a G value and a B value corresponding to each pixel point in the RGB image;
and forming an RGB color matrix of the lamp panel to be detected by using the average value of the R values, the average value of the G values and the average value of the B values corresponding to all the pixel points.
An optional implementation manner is that the first determining unit 402 is specifically configured to:
converting the RGB color matrix into an XYZ color matrix in an XYZ color space based on the conversion matrix; the conversion matrix is obtained based on a reference XYZ color matrix and a reference RGB color matrix corresponding to the standard color card;
the XYZ color matrix is converted to a target color matrix in the LAB space.
An optional implementation manner is that the second determining unit 403 is specifically configured to:
respectively determining a target color range in which each target color value in the target color matrix is located according to a preset color range;
and determining the target grade corresponding to the lamp panel to be detected according to any one target color range based on the corresponding relation between the preset color range and the grade.
In an alternative embodiment, the transformation matrix is set as follows:
acquiring a reference RAW image of a standard color card under a set light source through a camera; the standard color card comprises a plurality of reference colors;
respectively determining a central area corresponding to each reference color in the reference RAW image, and determining an average value of R values, an average value of G values and an average value of B values of each pixel point in the central area corresponding to each reference color;
forming a reference RGB color matrix by using the average value of the R values, the average value of the G values and the average value of the B values corresponding to all the reference colors;
acquiring an LAB color matrix of a standard color card in a set lighting environment; converting the LAB color matrix into a reference XYZ color matrix in an XYZ color space;
from the reference RGB color matrix and the reference XYZ color matrix, a conversion matrix is determined.
Correspondingly, the embodiment of the lamp panel detection method also provides the electronic equipment. The electronic device may be a mobile terminal, a computer, or other terminal device, such as the terminal device 10 shown in fig. 1, or may be a server.
The electronic device comprises at least a memory for storing data and a processor for data processing. The processor for data Processing may be implemented by a microprocessor, a CPU, a GPU (Graphics Processing Unit), a DSP, or an FPGA when executing Processing. For the memory, an operation instruction is stored in the memory, and the operation instruction may be a computer executable code, and the operation instruction is used to implement each step in the flow of the lamp panel detection method according to the embodiment of the present application.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure; as shown in fig. 5, the electronic device 100 in the embodiment of the present application includes: a processor 101, a display 102, a memory 103, an input device 106, a bus 105, and a communication module 104; the processor 101, memory 103, input device 106, display 102 and communication module 104 are all connected by a bus 105, the bus 105 being used to transfer data between the processor 101, memory 103, display 102, communication module 104 and input device 106.
The memory 103 may be configured to store software programs and modules, such as program instructions/modules corresponding to the lamp panel detection method in the embodiment of the present application, and the processor 101 executes various functional applications and data processing of the electronic device 100 by running the software programs and modules stored in the memory 103, such as the lamp panel detection method provided in the embodiment of the present application. The memory 103 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program of at least one application, and the like; the storage data area may store data (e.g., RAW image, conversion matrix, and the like related data) created according to the use of the electronic apparatus 100, and the like. Further, the memory 103 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 101 is a control center of the electronic apparatus 100, connects various parts of the entire electronic apparatus 100 using the bus 105 and various interfaces and lines, and performs various functions of the electronic apparatus 100 and processes data by running or executing software programs and/or modules stored in the memory 103 and calling data stored in the memory 103. Alternatively, processor 101 may include one or more processing units, such as a CPU, GPU, digital processing unit, etc.
The processor 101 may present the result of the lamp panel detection to the user via the display 102.
The processor 101 may also be connected to a network through the communication module 104 to obtain RAW images and the like.
The input device 106 is mainly used for obtaining input operation of a user, and when the electronic devices are different, the input device 106 may be different. For example, when the electronic device is a computer, the input device 106 can be a mouse, a keyboard, or other input device; when the electronic device is a portable device such as a smart phone or a tablet computer, the input device 106 may be a touch screen.
The embodiment of the application also provides a computer-readable storage medium for the lamp panel detection method, namely, the content is not lost after power failure. The storage medium stores therein a software program, including program code, which when executed on a computing device is read and executed by one or more processors may implement any of the aspects of the lamp panel detection methods described above in the embodiments of the present application.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A lamp panel detection method is characterized by comprising the following steps:
acquiring an RGB image of a lamp panel to be detected;
determining an RGB color matrix of the lamp panel to be detected according to the RGB image, and determining a target color matrix of the lamp panel to be detected according to the RGB color matrix;
and determining the target grade corresponding to the lamp panel to be detected according to the target color matrix.
2. The method according to claim 1, wherein the acquiring of the RGB image of the lamp panel to be detected comprises:
acquiring an original RAW image of the lamp panel to be detected by a camera;
determining the RGB value of each pixel point in the central area of the RAW image; the central area is an area which is positioned in the center of the RAW image and contains a set number of pixel points;
and obtaining the RGB image of the lamp panel to be detected based on the RGB values of the pixel points.
3. The method according to claim 2, wherein the determining the RGB color matrix of the lamp panel to be detected according to the RGB image comprises:
respectively determining an R value, a G value and a B value corresponding to each pixel point in the RGB image;
and forming an RGB color matrix of the lamp panel to be detected by using the average value of the R values, the average value of the G values and the average value of the B values corresponding to each pixel point.
4. The method according to claim 1, wherein the determining the target color matrix of the lamp panel to be detected according to the RGB color matrix comprises:
converting the RGB color matrix to an XYZ color matrix within an XYZ color space based on a conversion matrix; the conversion matrix is obtained based on a reference XYZ color matrix and a reference RGB color matrix corresponding to a standard color card;
converting the XYZ color matrix to a target color matrix in LAB space.
5. The method according to claim 1, wherein the determining the target level corresponding to the lamp panel to be detected according to the target color matrix comprises:
respectively determining a target color range in which each target color value in the target color matrix is located according to a preset color range;
and determining the target grade corresponding to the lamp panel to be detected according to any one target color range based on the corresponding relation between the preset color range and the grade.
6. The method of claim 4, wherein the transformation matrix is set by:
acquiring a reference RAW image of a standard color card under a set light source through a camera; the standard color card comprises a plurality of reference colors;
respectively determining a central area corresponding to each reference color in the reference RAW image, and determining an average value of R values, an average value of G values and an average value of B values of each pixel point in the central area corresponding to each reference color;
forming a reference RGB color matrix by using the average value of the R values, the average value of the G values and the average value of the B values corresponding to each reference color;
acquiring an LAB color matrix of the standard color card in a set lighting environment; and converting the LAB color matrix to a reference XYZ color matrix within the XYZ color space;
determining the conversion matrix from the reference RGB color matrix and the reference XYZ color matrix.
7. The utility model provides a lamp plate detection device, its characterized in that, the device includes:
the acquisition unit is used for acquiring an RGB image of the lamp panel to be detected;
the first determining unit is used for determining an RGB color matrix of the lamp panel to be detected according to the RGB image and determining a target color matrix of the lamp panel to be detected according to the RGB color matrix;
and the second determining unit is used for determining the target grade corresponding to the lamp panel to be detected according to the target color matrix.
8. The apparatus according to claim 7, wherein the obtaining unit is specifically configured to:
acquiring an original RAW image of the lamp panel to be detected by a camera;
determining the RGB value of each pixel point in the central area of the RAW image; the central area is an area which is positioned in the center of the RAW image and contains a set number of pixel points;
and obtaining the RGB image of the lamp panel to be detected based on the RGB values of the pixel points.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, the computer program, when executed by the processor, implementing the method of any of claims 1-6.
10. A computer-readable storage medium having a computer program stored therein, the computer program characterized by: the computer program, when executed by a processor, implements the method of any of claims 1-6.
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