CN111340735A - LED screen body correction method, device and terminal - Google Patents
LED screen body correction method, device and terminal Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09F—DISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
- G09F9/00—Indicating arrangements for variable information in which the information is built-up on a support by selection or combination of individual elements
- G09F9/30—Indicating arrangements for variable information in which the information is built-up on a support by selection or combination of individual elements in which the desired character or characters are formed by combining individual elements
- G09F9/33—Indicating arrangements for variable information in which the information is built-up on a support by selection or combination of individual elements in which the desired character or characters are formed by combining individual elements being semiconductor devices, e.g. diodes
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—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
- G09G3/22—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 using controlled light sources
- G09G3/30—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 using controlled light sources using electroluminescent panels
- G09G3/32—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 using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
Abstract
The embodiment of the invention provides a method, a device and a terminal for correcting an LED screen body, wherein a target image when the LED screen body displays a target color can be obtained through the terminal; determining coordinates of each lamp point contained in the target image; determining the positions of the dark seams and the bright seams contained in the target image according to the coordinates of the lamp points, and respectively calculating seam repair coefficients by using the determined positions of the dark seams and the bright seams; and correcting the LED screen body by utilizing the seam repairing coefficient. By applying the scheme provided by the embodiment of the invention, the terminal is utilized to obtain the image of the LED screen body, the calculation of the seam repair coefficient is completed through the terminal, and the correction of the LED screen body is completed through the terminal.
Description
Technical Field
The invention relates to the technical field of LED display screens, in particular to a method, a device and a terminal for correcting an LED screen body.
Background
The LED screen body is usually formed by splicing a plurality of box bodies, and when the box bodies are spliced, if a physical gap between the box bodies is too large, a blind seam is generated; or bright seams may be created when the physical gap between the housings is smaller than the spacing between the light points in the housings. When a dark seam or a bright seam is generated in the splicing process, the display effect of the LED screen body can be seriously influenced. Thus, the LED panels need to be calibrated before they can be used.
Disclosure of Invention
The embodiment of the invention aims to provide a method, a device and a terminal for correcting an LED screen body, so that the LED screen body can be corrected through the terminal. The specific technical scheme is as follows:
in one aspect of the present invention, an LED screen body calibration method is provided, which is applied to a terminal, and the method includes:
acquiring a target image when the LED screen body displays a target color;
determining coordinates of each lamp point contained in the target image;
determining the positions of the dark seams and the bright seams contained in the target image according to the coordinates of the lamp points, and respectively calculating seam repair coefficients by using the determined positions of the dark seams and the bright seams;
and correcting the LED screen body by utilizing the seam repairing coefficient.
Optionally, the step of determining coordinates of each light point included in the target image includes:
carrying out image debouncing processing on the target image to obtain a debouncing image;
carrying out binarization processing on the debounced image to obtain a binarized image;
and determining the outline of each lamp point in the binary image, and determining the coordinates of each lamp point by using the determined outline.
Optionally, the step of performing image debouncing processing on the target image to obtain a debounced image includes:
performing frequency domain conversion on the target image, and acquiring the distribution characteristics of high-frequency components;
quantizing the distribution characteristics to obtain a fuzzy angle and a fuzzy direction;
carrying out iterative estimation by using the fuzzy angle and the fuzzy direction to obtain fuzzy length;
constructing a fuzzy kernel according to the fuzzy angle and the fuzzy length;
and carrying out deblurring processing on the image by adopting the blur kernel to obtain a debounced image.
Optionally, the step of determining the positions of the dark slits and the bright slits included in the target image according to the coordinates of the respective lamp points includes:
determining an image area of the LED screen body in the target image according to the coordinates of each lamp point;
and determining the positions of the dark seams and the bright seams contained in the image area.
Optionally, the target color includes: red, green and blue.
In another aspect of the present invention, there is also provided an LED screen body calibration apparatus applied to a terminal, the apparatus including:
the acquisition module is used for acquiring a target image when the LED screen body displays a target color;
the first determining module is connected with the acquiring module and the second determining module and is used for determining the coordinates of each lamp point contained in the target image;
the second determining module is connected with the first determining module and the correcting module and used for determining the positions of the dark seams and the bright seams contained in the target image according to the coordinates of the lamp points and respectively calculating seam repairing coefficients by using the determined positions of the dark seams and the bright seams;
and the correction module is connected with the second determination module and is used for correcting the LED screen body by utilizing the seam repair coefficient.
Optionally, the first determining module includes: the image processing device comprises a debouncing unit, a binarization unit and a first determination unit;
the image stabilization unit is connected with the image stabilization unit and the binarization unit and used for performing image stabilization processing on the target image to obtain a stabilized image;
the binarization unit is connected with the debounce unit and the first determination unit and is used for carrying out binarization processing on the debounce image to obtain a binarization image;
and the first determining unit is connected with the binarization unit and used for determining the outline of each lamp point in the binarization image and determining the coordinate of each lamp point by using the determined outline.
Optionally, the debounce unit includes: the system comprises a conversion subunit, an acquisition subunit, an iteration subunit, a construction subunit and a processing subunit;
the conversion subunit is connected with the acquisition module and the acquisition subunit, and is used for performing frequency domain conversion on the image and acquiring the distribution characteristics of high-frequency components;
the acquisition subunit is connected with the conversion subunit and the iteration subunit and is used for quantizing the distribution characteristics to acquire a fuzzy angle and a fuzzy direction;
the iteration subunit is connected with the acquisition subunit and the construction subunit and is used for performing iterative estimation by using the fuzzy angle and the fuzzy direction to acquire the fuzzy length;
the construction subunit is connected with the iteration subunit and the processing subunit and is used for constructing a fuzzy kernel according to the fuzzy angle and the fuzzy length;
and the processing subunit is connected with the constructing subunit and is used for carrying out deblurring processing on the image by adopting the blur kernel to obtain a shake-removed image.
Optionally, the second determining module includes:
the second determining unit is connected with the first determining module and the third determining unit and used for determining the image area of the LED screen body in the target image according to the coordinates of each lamp point;
and the third determining unit is connected with the second determining unit and used for determining the positions of the dark seams and the bright seams contained in the image area.
In another aspect of the present invention, there is also provided a terminal, including a processor, a communication interface, a memory and a communication bus, where the processor, the communication interface, and the memory complete mutual communication through the communication bus;
a memory for storing processor-executable instructions;
and the processor is used for realizing any one of the LED screen body correction methods when the processor executes the instructions stored in the memory.
According to the LED screen body correction method, the LED screen body correction device and the terminal, the target image when the LED screen body displays the target color can be obtained through the terminal; determining coordinates of each lamp point contained in the target image; determining the positions of the dark seams and the bright seams contained in the target image according to the coordinates of the lamp points, and respectively calculating seam repair coefficients by using the determined positions of the dark seams and the bright seams; and correcting the LED screen body by utilizing the seam repairing coefficient. By applying the scheme provided by the embodiment of the invention, the terminal is utilized to obtain the image of the LED screen body, the calculation of the seam repair coefficient is completed through the terminal, and the correction of the LED screen body is completed through the terminal.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for correcting an LED panel according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an LED panel calibration apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a schematic flow chart of a method for correcting an LED screen according to an embodiment of the present invention is applied to a terminal, and the method includes:
s100, acquiring a target image when the LED screen body displays a target color.
In an implementation, the terminal may include: cell phones, tablets, computers, and the like.
The target color may include: red, green and blue.
The terminal can be connected with the LED screen body through the Bluetooth, and when the image of the LED screen body needs to be acquired, the terminal can send a control instruction to the LED screen body to control the LED screen body to display the target color and acquire the target image.
Specifically, when the terminal is a device with an image acquisition function, such as a mobile phone, the terminal can acquire a target image through a mobile phone camera after controlling the LED screen body to display a target color;
when the terminal device is a device without an image acquisition function, such as a computer, the terminal can be connected with the mobile phone through wireless network, bluetooth, near field communication or USB wired communication, and when the LED screen body is controlled to display the target color, the mobile phone is instructed to acquire the image of the LED screen body, and then the target image is acquired through the mobile phone.
S110, determining the coordinates of each lamp point contained in the target image.
In implementation, image debouncing processing may be performed on the target image to obtain a debounced image; then, carrying out binarization processing on the debounced image to obtain a binarized image; finally, determining the outline of each lamp point in the binary image, and determining the coordinates of each lamp point by using the determined outline.
In implementation, the target image may be subjected to image de-dithering processing through the following steps a1-a 5:
and A1, performing frequency domain conversion on the target image, and acquiring the distribution characteristics of the high-frequency components.
In implementation, the blurred kernel estimation samples may be converted from the spatial domain to the frequency domain by fourier transform, resulting in a frequency domain image.
The frequency domain conversion formula of the present embodiment can refer to:
wherein f (x, y) represents a matrix of size M × N, x being 0, 1, 2,.. said., M-1, y being 0, 1, 2,.. said., N-1.
F (u, v) represents a fourier transform of F (x, y), a coordinate system in which F (u, v) is located is called a frequency domain, and a matrix of M × N defined by u ═ 0, 1, 2.. 9., M-1 and v ═ 0, 1, 2.. once, N-1 is called a frequency domain matrix; the coordinate system where f (x, y) is located is called a spatial domain, and a matrix of M × N defined by x 0, 1, 2.. the matrix of M-1 and y 0, 1, 2.. the matrix of N-1 is called a spatial domain matrix, and obviously, the size of the frequency domain matrix is the same as the size of the original spatial domain matrix.
The distribution characteristics are the characteristics of the Fourier frequency spectrum such as the contour, the form and the like shown on the frequency domain image after the binarization processing, the binarization image is a black-white image, and the brighter area contour is the distribution characteristics. The form of the high frequency component reflects the actual degree of blurring of the image picture, and is therefore used as a feature of the blur parameter estimation.
And A2, quantizing the distribution characteristics to obtain a fuzzy angle and a fuzzy direction.
In implementation, the quantification may be performed by the central moment in the distribution feature.
The central moment is obtained by counting all pixels in the image, and the calculation method is as follows:
second moment:
M20＝∑I∑Ji2·V(i,j) (2)
M02＝∑I∑Jj2·V(i,j) (3)
M11＝∑I∑Ji·j·V(i,j) (4)
first moment:
M10＝∑I∑Ji·V(i,j) (5)
M01＝∑I∑Jj·V(i,j) (6)
zero order moment:
M00＝∑I∑JV(i,j) (7)
where V (i, j) represents a gray scale value with coordinates (i, j) on the image.
After quantization by the central moment, the blur angle can be estimated from the quantization result.
The blurring angle is theta, and
wherein:
wherein the content of the first and second substances,
xcand ycIs the centroid coordinate of the distribution feature.
And A3, performing iterative estimation by using the fuzzy angle and the fuzzy direction to obtain the fuzzy length.
In an implementation, the blur direction may be determined from the blur angle.
After the blurring angle θ is obtained through the above steps, the direction of the blurring angle θ can be known through the numerical value of the blurring angle θ, that is, the blurring direction. For example, θ is 45 °, and the blurring direction is the result of a 45 ° counterclockwise rotation with 0 ° horizontal to the right as the x-axis.
Thereafter, an integer interval [0, n ] may be set]And continuously calculating K ═ r in the integer interval1/r2。
Wherein
And H1＝M20+M02，
The embodiment adopts an iteration mode of continuous calculation, can obtain the optimal value, solves the problem of estimation deviation in an actual application scene compared with the existing single parameter estimation mode, and reduces system errors and noise possibly introduced in the traditional estimation.
Specifically, the interval value [0, l ] corresponding to the minimum value of K is selected, and l is used as the fuzzy length.
For example, if the set integer interval [0, n ] is [0, 50] and K is the minimum value when the interval value is [0, 10], the corresponding l is 10, which is the blur length.
And A4, constructing a blur kernel according to the blur angle and the blur length.
In implementation, a point spread function psf (θ, l) may be calculated from the blur length and the blur angle, and a blur kernel is constructed.
The point spread function is a mathematical description function of the blurring degree of pixels in the image, and the jittered image can be represented as a convolution of a sharp image and the point spread function, so that the sharp image can be obtained by solving the point spread function in a deconvolution mode.
The blur length l and the blur angle θ have been obtained in the above calculation step, and a point spread function psf (θ, l) can be calculated and a blur kernel can be constructed by performing mathematical modeling with these two parameters.
A5, deblurring the image by using the blur kernel to obtain a deblurred image.
In implementation, the debounced image can be finally obtained through deconvolution operation.
And S120, determining the positions of the dark seams and the bright seams contained in the target image according to the coordinates of each lamp point, and respectively calculating seam repair coefficients by using the determined positions of the dark seams and the bright seams.
In the implementation, the seam correction coefficient is a coefficient for adjusting the brightness at the dark seam or the bright seam to the brightness of the lamp point outside the dark seam or the bright seam. For example, the seam correction factor for the brightness of the dark seam is to increase the brightness of the lamp point at the dark seam.
And S130, correcting the LED screen body by utilizing the seam repair coefficient.
In implementation, after the terminal calculates the seam repair coefficient, the seam repair coefficient can be sent to the LED screen body, and the LED screen body changes the brightness of the lamp point according to the seam repair coefficient, thereby completing the correction.
By applying the scheme provided by the embodiment of the invention, the terminal is utilized to obtain the image of the LED screen body, the calculation of the seam repair coefficient is completed through the terminal, and the correction of the LED screen body is completed through the terminal.
Referring to fig. 2, a schematic structural diagram of an LED panel calibration apparatus provided in an embodiment of the present invention is applied to a terminal, and the apparatus includes:
an obtaining module 200, configured to obtain a target image when the LED screen displays a target color;
the first determining module 210 is connected to the obtaining module 200 and the second determining module 220, and is configured to determine coordinates of each light point included in the target image;
the second determining module 220 is connected to the first determining module 210 and the correcting module 230, and configured to determine positions of a dark seam and a bright seam included in the target image according to coordinates of the light points, and calculate seam repair coefficients by using the determined positions of the dark seam and the bright seam, respectively;
the correcting module 230 is connected to the second determining module 220, and is configured to correct the LED screen body by using the seam repair coefficient.
Optionally, the first determining module 210 includes: the image processing device comprises a debouncing unit, a binarization unit and a first determination unit;
the image stabilization unit is connected with the image stabilization unit and the binarization unit and used for performing image stabilization processing on the target image to obtain a stabilized image;
the binarization unit is connected with the debounce unit and the first determination unit and is used for carrying out binarization processing on the debounce image to obtain a binarization image;
and the first determining unit is connected with the binarization unit and used for determining the outline of each lamp point in the binarization image and determining the coordinate of each lamp point by using the determined outline.
Optionally, the debounce unit includes: the system comprises a conversion subunit, an acquisition subunit, an iteration subunit, a construction subunit and a processing subunit;
the conversion subunit is connected with the acquisition module and the acquisition subunit, and is used for performing frequency domain conversion on the image and acquiring the distribution characteristics of high-frequency components;
the acquisition subunit is connected with the conversion subunit and the iteration subunit and is used for quantizing the distribution characteristics to acquire a fuzzy angle and a fuzzy direction;
the iteration subunit is connected with the acquisition subunit and the construction subunit and is used for performing iterative estimation by using the fuzzy angle and the fuzzy direction to acquire the fuzzy length;
the construction subunit is connected with the iteration subunit and the processing subunit and is used for constructing a fuzzy kernel according to the fuzzy angle and the fuzzy length;
and the processing subunit is connected with the constructing subunit and is used for carrying out deblurring processing on the image by adopting the blur kernel to obtain a shake-removed image.
Optionally, the second determining module includes:
the second determining unit is connected with the first determining module and the third determining unit and used for determining the image area of the LED screen body in the target image according to the coordinates of each lamp point;
and the third determining unit is connected with the second determining unit and used for determining the positions of the dark seams and the bright seams contained in the image area.
By applying the scheme provided by the embodiment of the invention, the terminal is utilized to obtain the image of the LED screen body, the calculation of the seam repair coefficient is completed through the terminal, and the correction of the LED screen body is completed through the terminal.
An embodiment of the present invention further provides a mobile terminal, as shown in fig. 3, including a processor 001, a communication interface 002, a memory 003 and a communication bus 004, where the processor 001, the communication interface 002 and the memory 003 complete mutual communication through the communication bus 004,
a memory 003 for storing processor 001 executable instructions;
the processor 001 is configured to implement the LED screen body correction method according to any one of the above embodiments when executing the instructions stored in the memory 003, and the method includes:
acquiring a target image when the LED screen body displays a target color;
determining coordinates of each lamp point contained in the target image;
determining the positions of the dark seams and the bright seams contained in the target image according to the coordinates of the lamp points, and respectively calculating seam repair coefficients by using the determined positions of the dark seams and the bright seams;
and correcting the LED screen body by utilizing the seam repairing coefficient.
By applying the scheme provided by the embodiment of the invention, the terminal is utilized to obtain the image of the LED screen body, the calculation of the seam repair coefficient is completed through the terminal, and the correction of the LED screen body is completed through the terminal.
The communication bus mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the mobile terminal and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. Especially, as for the device and terminal embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for the relevant points, refer to the partial description of the method embodiments.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. An LED screen body correction method is applied to a terminal, and comprises the following steps:
acquiring a target image when the LED screen body displays a target color;
determining coordinates of each lamp point contained in the target image;
determining the positions of the dark seams and the bright seams contained in the target image according to the coordinates of the lamp points, and respectively calculating seam repair coefficients by using the determined positions of the dark seams and the bright seams;
and correcting the LED screen body by utilizing the seam repairing coefficient.
2. The method of claim 1, wherein the step of determining coordinates of each light point contained in the target image comprises:
carrying out image debouncing processing on the target image to obtain a debouncing image;
carrying out binarization processing on the debounced image to obtain a binarized image;
and determining the outline of each lamp point in the binary image, and determining the coordinates of each lamp point by using the determined outline.
3. The method of claim 2, wherein the step of image de-jittering the target image to obtain a de-jittered image comprises:
performing frequency domain conversion on the target image, and acquiring the distribution characteristics of high-frequency components;
quantizing the distribution characteristics to obtain a fuzzy angle and a fuzzy direction;
carrying out iterative estimation by using the fuzzy angle and the fuzzy direction to obtain fuzzy length;
constructing a fuzzy kernel according to the fuzzy angle and the fuzzy length;
and carrying out deblurring processing on the image by adopting the blur kernel to obtain a debounced image.
4. The method of claim 1, wherein the step of determining the positions of the dark and light slits contained in the target image based on the coordinates of the respective lamp points comprises:
determining an image area of the LED screen body in the target image according to the coordinates of each lamp point;
and determining the positions of the dark seams and the bright seams contained in the image area.
5. The method of any one of claims 1-4, wherein the target color comprises: red, green and blue.
6. An LED screen body correcting device is characterized in that the device is applied to a terminal, and the device comprises:
the acquisition module is used for acquiring a target image when the LED screen body displays a target color;
the first determining module is connected with the acquiring module and the second determining module and is used for determining the coordinates of each lamp point contained in the target image;
the second determining module is connected with the first determining module and the correcting module and used for determining the positions of the dark seams and the bright seams contained in the target image according to the coordinates of the lamp points and respectively calculating seam repairing coefficients by using the determined positions of the dark seams and the bright seams;
and the correction module is connected with the second determination module and is used for correcting the LED screen body by utilizing the seam repair coefficient.
7. The apparatus of claim 6, wherein the first determining module comprises: the image processing device comprises a debouncing unit, a binarization unit and a first determination unit;
the image stabilization unit is connected with the image stabilization unit and the binarization unit and used for performing image stabilization processing on the target image to obtain a stabilized image;
the binarization unit is connected with the debounce unit and the first determination unit and is used for carrying out binarization processing on the debounce image to obtain a binarization image;
and the first determining unit is connected with the binarization unit and used for determining the outline of each lamp point in the binarization image and determining the coordinate of each lamp point by using the determined outline.
8. The apparatus of claim 6, wherein the debounce unit comprises: the system comprises a conversion subunit, an acquisition subunit, an iteration subunit, a construction subunit and a processing subunit;
the conversion subunit is connected with the acquisition module and the acquisition subunit, and is used for performing frequency domain conversion on the image and acquiring the distribution characteristics of high-frequency components;
the acquisition subunit is connected with the conversion subunit and the iteration subunit and is used for quantizing the distribution characteristics to acquire a fuzzy angle and a fuzzy direction;
the iteration subunit is connected with the acquisition subunit and the construction subunit and is used for performing iterative estimation by using the fuzzy angle and the fuzzy direction to acquire the fuzzy length;
the construction subunit is connected with the iteration subunit and the processing subunit and is used for constructing a fuzzy kernel according to the fuzzy angle and the fuzzy length;
and the processing subunit is connected with the constructing subunit and is used for carrying out deblurring processing on the image by adopting the blur kernel to obtain a shake-removed image.
9. The apparatus of claim 6, wherein the second determining module comprises:
the second determining unit is connected with the first determining module and the third determining unit and used for determining the image area of the LED screen body in the target image according to the coordinates of each lamp point;
and the third determining unit is connected with the second determining unit and used for determining the positions of the dark seams and the bright seams contained in the image area.
10. A terminal is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing the communication between the processor and the memory through the communication bus;
a memory for storing processor-executable instructions;
a processor adapted to perform the method steps of any of claims 1-5 when executing instructions stored in the memory.
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