WO2020035723A1

WO2020035723A1 - Method and apparatus for identifying backlighting region, and device/terminal/server

Info

Publication number: WO2020035723A1
Application number: PCT/IB2018/056488
Authority: WO
Inventors: 唐琪森
Original assignee: 优视科技新加坡有限公司
Priority date: 2018-08-17
Filing date: 2018-08-27
Publication date: 2020-02-20
Also published as: CN109246399A

Abstract

The embodiments of the present application provide a method and apparatus for identifying a backlighting region, and a device/terminal/server. The method comprises: carrying out color space transfer on an obtained image to obtain a color brightness value of each pixel of the image in an HSL color space; determining whether the color of each pixel is approximate to white or approximate to black according to the color brightness value of each pixel; and traversing the colors of all the pixels to obtain a boundary value of a dark color connection region to determine that the dark color connection region is a backlighting region. By means of the embodiments of the present application, a user can easily determine a pixel color according to a color brightness value of each pixel, so as to determine a boundary value of a dark color connection region to determine a backlighting region, thereby optimizing the backlighting region and improving the quality of images in photographs or videos.

Description

Method, device and device / terminal / server for identifying backlight area This application requires that the China Patent Office be filed on August 17, 2018, with application number 201810943188.1, and the invention name is 〃A method, device and device / terminal for identifying backlight area / Server "Chinese patent application priority, the entire contents of which are incorporated herein by reference.

Technical field

The present application relates to the technical field of intelligent terminals, and in particular, to a method, a device, and a device / terminal / server for identifying a backlight region.

Background technique

With the development of smart terminal technology, the use of smart terminals for image capture or download has become a commonly used means of image acquisition in people's daily lives. The development of various image application software allows users to modify the obtained images to a certain degree, such as beauty treatment or adding filters.

However, due to the limitation of the user's shooting skills and shooting environment, if the picture is taken under sufficient light, the shooting angle is incorrectly selected, which will result in backlit shooting, resulting in insufficient light in the captured image area, blackish colors, and inconspicuous image details.

Therefore, how to identify the backlit area of the captured image becomes a technical problem to be solved urgently in the prior art.

Summary of the Invention

The embodiments of the present application provide a method, an apparatus, and a device / terminal / server for identifying a backlight region, which completely or partially solve a problem in the prior art.

According to an aspect of the embodiment of the present application, a method for identifying a backlight region is provided, the method includes: performing color space transfer on the obtained image to obtain a color brightness value of each pixel of the image in an HSL color space; The color lightness value of each pixel determines that the color of each pixel approaches white or black; traverses the color of each pixel to obtain the boundary value of the dark connected area to determine that it is a backlight area.

According to another aspect of the embodiments of the present application, a device for identifying a backlight region is further provided. The device includes: a space conversion module configured to perform color space transfer on the obtained image to obtain the image in the HSL color space. Color lightness value of each pixel; color determination A module configured to judge that the color of each pixel approaches white or black according to the color lightness value of each pixel; the area determination module is configured to traverse the color of each pixel to obtain a dark color The boundary value of the connected area determines that it is a backlit area.

According to still another aspect of the embodiments of the present application, a device / terminal / server is further provided, including: one or more processors; a storage device, configured to store one or more programs, and when the one or more programs are Being executed by the one or more processors, so that the one or more processors implement an operation corresponding to the method for identifying a backlight region as described above.

According to still another aspect of the embodiments of the present application, a computer-readable storage medium is further provided, in which a computer program is stored, and when the program is executed by a processor, the operation corresponding to the method for identifying a backlight region as described above is implemented.

According to the technical solution provided by the embodiment of the present application, the embodiment of the present application obtains the color lightness value of each pixel in the HSL color space of the image, and determines that the color of each pixel is close to white according to the color lightness value of each pixel Or approaching black, traverse the colors of the pixels to obtain the boundary value of the dark connected area to determine that it is a backlight area. In the embodiment of the present application, a user judges a pixel color according to a color lightness value of each pixel, so as to determine a boundary value of a dark connected area to determine a backlight area. This optimizes the backlight area and improves the image quality in photos or videos.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a flowchart of steps of a method for identifying a backlight region according to Embodiment 1 of the present application; FIG. 2 is a flowchart of steps of an implementation of step S103 of a method for identifying a backlight region according to Embodiment 2 of the present application;

FIG. 3 is a flowchart of steps of an implementation of step S 1031 of a method for identifying a backlight region according to Embodiment 2 of the present application;

4 is a structural block diagram of an implementation of a device for identifying a backlight region according to Embodiment 3 of the present application;

5 is a structural block diagram of an implementation of another area determination module for identifying a backlight area device according to Embodiment 4 of the present application;

6 is a structural block diagram of an implementation of another color traversal unit for identifying a backlight region device according to Embodiment 4 of the present application;

FIG. 7 is a structural block diagram of a device / terminal / server according to Embodiment 5 of the present application. detailed description The specific implementation of the embodiments of the present application will be further described in detail below with reference to the accompanying drawings (the same reference numerals in several drawings represent the same elements) and embodiments. The following examples are used to illustrate the present application, but are not intended to limit the scope of the present application.

Those skilled in the art can understand that terms such as “first” and “second” in the embodiments of the present application are only used to distinguish different steps, devices, or modules, etc., and they do not represent any specific technical meaning, nor mean between them. Inevitable logical order.

Example one

Referring to FIG. 1, there is shown a flowchart of steps in a method for identifying a backlight region according to Embodiment 1 of the present application.

It is worth noting that steps S 101 to S 103 described in this application do not represent the order of execution.

The method for identifying a backlight region in this embodiment includes the following steps:

Step S101: Perform color space transfer on the obtained image to obtain a color brightness value of each pixel of the image in the HSL color space.

Specifically, the image obtained in the embodiment of the present application includes a captured image or an image downloaded through the Internet. The image described in the embodiment of the present application includes an image in a photo or an image captured in a video.

HSL color mode is a color standard in the industry. It obtains a variety of colors by changing the three color channels of hue (H), saturation (S), and lightness (L) and superimposing them on each other. For color, HSL is the color representing the three channels of hue, saturation, and lightness. This standard includes almost all colors that human vision can perceive. It is one of the most widely used color systems.

In the embodiment of the present application, the color brightness value (L) of each pixel of the image in the HSL color space is obtained by performing color space transfer on the image.

S102. Determine, according to the color lightness value of each pixel, that the color of each pixel approaches white or approaches black.

In the embodiment of the present application, the color lightness value (L) of each pixel is determined. Based on the size of the color lightness value (L), it can be determined whether the color of the pixel approaches white or black.

Step S103: traverse the colors of the pixels to obtain the edges of the dark connected area The threshold value determines that it is a backlit area.

The present application obtains a dark-colored connected region by connecting all the regions that are close to black to whether the color of each pixel approaches white or black. In this application, by determining the boundary value of the dark-colored connected area, it is determined that the final dark-colored connected area is a backlit area.

It can be known from this that that the embodiment of the present application obtains the color lightness value of each pixel in the HSL color space of the image, and judges that the color of each pixel approaches white or black based on the color brightness value of each pixel. The color of each pixel is traversed to obtain the boundary value of the dark connected area to determine that it is a backlight area. The embodiment of the present application is convenient for a user to judge a pixel color according to a color lightness value of each pixel, thereby determining a boundary value of a dark-colored connected area to determine a backlight region. This optimizes the backlight area and improves the image quality in photos or videos.

The method for identifying a backlight region in this embodiment may be performed by any appropriate device having the ability to identify a backlight region, including but not limited to: various device terminals or servers, including but not limited to a PC, a tablet computer, a mobile terminal, and the like.

Example two

This embodiment includes the above steps S101 to S103. Referring to FIG. 2, step S103 of the method includes:

In step S1031, the colors of each pixel in the image are sequentially traversed to obtain a dark connected area where the pixel colors all approach black.

Specifically, in the embodiment of the present application, the color of each pixel in the image is sequentially traversed to obtain whether the color of each pixel approaches black or white. If it approaches black, the pixels are connected to obtain a dark connected area where the pixel colors are all black.

Referring to FIG. 3, the step S 1031 includes:

Step S 1031 1. The color of each pixel in the image is sequentially traversed in columns or rows, and the color of each pixel in each column or each row is compared.

Since the pixels are arranged row by row or column by column, the color of each pixel in the image is sequentially traversed in columns or rows, thereby ensuring that the traversal of each pixel improves the efficiency of the traversal and facilitates the connection of the dark connected areas.

Step S10312: According to the colors of the pixels obtained by comparison, a dark connected area where the pixel colors are all black is obtained.

The color of each pixel is compared to determine whether adjacent pixels can form a dark connected area. In this way, the pixel colors obtained by the comparison can be used to obtain a dark connected area where the pixel colors are all black.

The step S 10312 is specifically:

A flood-filling algorithm is used to obtain a dark connected area where the pixel colors are all black according to the colors of the pixels.

The flood fill algorithm, as the name suggests, fills a connected area like a flood. Of course, if the water can flow over, it needs to meet certain conditions. It can be understood that the place that meets the conditions is the low-lying place. Water To flow through. In image processing, a seed point is given as a starting point, and it is diffused to neighboring pixels, and all points with the same or similar colors are found out and filled with new colors. These points form a connected area. The flooding algorithm can be used to mark or separate a part of the image, and it can implement functions similar to the Windows paint bucket, or the magic wand selection function in PS.

The flood fill algorithm is most commonly implemented with four neighborhood pixel fill methods, eight neighborhood pixel fill methods, and scan line based fill methods. According to the code implementation can be divided into recursive and non-recursive.

In the embodiment of the present application, a flood-filling algorithm similar to a paint bucket is used to obtain a dark connected area where the pixel colors are all black. The embodiment of the present application can separate the dark connected area from other areas, and ensure the accuracy and simplicity of operation.

Step S1032: The dark connected areas are merged, and the boundaries of the merged dark connected areas are statistically determined to determine that they are backlit areas.

This application combines the dark connected areas, and calculates the boundaries of the dark connected areas obtained by the combination, and determines the backlight area according to the boundaries.

The step S 1032 is specifically:

If the difference between the color lightness value of the pixel and the color lightness value of an adjacent pixel is greater than a preset value, it is determined that the pixel is a boundary pixel of the backlight region.

In the case of backlight shooting, the light source is at the far end, the subject is in the middle, and the camera is at the forefront. So the backlit image, background and foreground will have very clear boundaries. In the embodiment of the present application, it is determined whether the color brightness value of a pixel differs from the color brightness value of an adjacent pixel by more than a preset value to determine whether the pixel is a boundary pixel, thereby determining the boundary value of the dark connected area.

Therefore, in the embodiment of the present application, the color brightness value (L) is compared to determine the boundary of the merged dark-colored connected region, and the merged dark-colored connected region can be accurately distinguished from other regions to be determined as the backlight region. . Specifically, in the embodiment of the present application, starting from the boundary of the image, the weighted average value of the color lightness value (L) of each pixel is calculated, and iteratively iterates toward the interior of the image until a large difference is found, and the The boundary of the merged dark connected region.

Therefore, this application uses the weighted average of the color lightness value (L) of each pixel to perform internal iteration without segmentation, and uses the difference of the weighted average to determine whether the boundary pixel is determined, which can achieve more accurate boundary pixel determination, and thus more Accurately determine the backlight area.

Example three

Referring to FIG. 4, a structural block diagram of a device for identifying a backlight region according to Embodiment 3 of the present application is shown.

The device for identifying a backlight region in this embodiment includes:

The space conversion module 401 is configured to perform color space transfer on the obtained image to obtain a color brightness value of each pixel of the image in the HSL color space.

The color determining module 402 is configured to determine, according to the color lightness value of each pixel, that the color of each pixel approaches white or black.

The area determining module 403 is configured to traverse the colors of the pixels to obtain the boundary value of the dark connected area to determine that it is a backlight area.

HSL color mode is a color standard in the industry. It is obtained by changing the three color channels of hue (H), saturation (S), and lightness (L) and superimposing them on each other. HSL is the color representing the three channels of hue, saturation, and lightness. This standard includes almost all colors that human vision can perceive. It is one of the most widely used color systems.

Step S103: traverse the colors of the pixels to obtain the boundary value of the dark connected region to determine that it is a backlight region.

It can be known from this that that the embodiment of the present application obtains the color lightness value of each pixel in the HSL color space of the image, and judges that the color of each pixel approaches white or black based on the color brightness value of each pixel The color of each pixel is traversed to obtain the boundary value of the dark connected area to determine that it is a backlight area. The embodiment of the present application is convenient for a user to judge a pixel color according to a color brightness value of each pixel, thereby determining a boundary value of a dark-colored connected area to determine a backlight region. This optimizes the backlight area and improves the image quality in photos or videos.

Embodiment 4

This embodiment includes the aforementioned space conversion module 401, a color determination module 402, and an area determination module 403. Referring to FIG. 5, the area determining module 403 includes:

The color traversal unit 4031 is configured to sequentially traverse the colors of the pixels in the image to obtain a dark connected area in which the colors of the pixels are close to black.

The statistical merging unit 4032 is configured to merge the dark connected areas, and statistically obtain the boundaries of the merged dark connected areas to determine that they are backlit areas.

Specifically, in the embodiment of the present application, the color of each pixel in the image is sequentially processed. Over time, it is obtained whether the color of each pixel approaches black or white. If it approaches black, the pixels are connected to obtain a dark connected area where the pixel colors are all black.

Referring to FIG. 6, the color traversal unit 4031 includes:

The traversal subunit 4031 1 is configured to sequentially traverse the color of each pixel in the image in a column or a row, and compare the color of each pixel in each column or each row;

The connected sub-unit 40312 is configured to obtain the color of each pixel obtained according to the comparison, and obtain a dark connected area where the pixel colors are all black.

Since the colors of the respective pixels are compared to determine whether adjacent pixels can form a dark connected area, the pixel colors obtained by the comparison can be used to obtain a dark connected area where the pixel colors are all black.

The connected sub-unit 40312 is specifically configured to:

In the embodiment of the present application, a flooded filling algorithm similar to a paint bucket or a magic wand is used to obtain a dark connected area where the pixel colors are black. The embodiment of the present application can separate the dark connected area from other areas, and ensure the accuracy and simplicity of operation.

The statistical merging unit is specifically configured to: If the difference between the color lightness value of the pixel and the color lightness value of an adjacent pixel is greater than a preset value, it is determined that the pixel is a boundary pixel of the backlight region.

Therefore, in the embodiment of the present application, the color brightness value (L) is compared to determine the boundary of the merged dark-colored connected region, and the merged dark-colored connected region can be accurately distinguished from other regions to be determined as the backlight region. .

Specifically, in the embodiment of the present application, starting from the boundary of the image, the weighted average value of the color lightness value (L) of each pixel is calculated, and iteratively iterates toward the interior of the image until a large difference is found, which can be obtained The boundary of the merged dark connected region.

Example 5

Referring to FIG. 7, a structural block diagram of a device / terminal / server according to Embodiment 5 of the present application is shown. The specific embodiment of the present application does not limit the specific implementation of the device / terminal / server.

As shown in Figure 7, the device / terminal / server may include: one or more processors

(processor) 702, storage device (memory) 704.

among them: The processor 702 is configured to execute a program 706, and may specifically perform related steps in the foregoing embodiment of the method for identifying a backlight region.

Specifically, the program 706 may include program code, where the program code includes a computer operation instruction.

The processor 702 may be a central processing unit CPU, or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application. The device / terminal / server includes one or more processors, which can be processors of the same type, such as one or more CPUs; or different types of processors, such as one or more CPUs and one or more ASICs .

The storage device 704 is configured to store one or more programs 706. The storage device 704 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 706 may be specifically configured to cause the processor 702 to perform the following operations: transfer the obtained image to a color space, and obtain a color brightness value of each pixel of the image in an HSL color space; and judge according to the color brightness value of each pixel The color of each pixel approaches white or black; the color of each pixel is traversed to obtain the boundary value of the dark connected region to determine that it is a backlight region.

In an optional implementation manner, the program 706 is further configured to sequentially traverse the colors of the pixels in the image to obtain a dark connected area where the pixel colors all approach black; merge the dark connected areas, The boundaries of the merged dark connected areas are determined to determine that they are backlit areas.

In an optional implementation manner, the program 706 is further configured to sequentially traverse the colors of each pixel in the image in columns or rows, and compare the colors of each pixel in each column or each row; The color of each pixel is described to obtain a dark connected area where the pixel colors are all black.

In an optional implementation manner, the program 706 is further configured to use a flood-fill algorithm to obtain a dark connected area where the pixel colors are all black according to the colors of the pixels.

In an optional implementation manner, the program 706 is further configured to determine that the pixel is a border pixel of a backlight region if the difference between the color brightness value of the pixel and the color brightness value of an adjacent pixel is greater than a preset value.

It can be known that the embodiments of the present application perform element segmentation on the obtained image according to the segmentation rule. The segmented element feature information is processed, and an image element corresponding to the instruction is obtained for a personalized operation according to a received user instruction. Embodiments of the present application may segment image elements in an image and perform personalized operations on the image elements. The embodiment of the present application is convenient for a user to flexibly personalize an image element in an image obtained by shooting or downloading, so that the object of the personalized operation is richer, and the user operation can be better personalized.

The embodiment of the present application obtains the color lightness value of each pixel of the image in the HSL color space, and determines, according to the color lightness value of each pixel, that the color of each pixel is closer to white or closer to black. The color of the pixel is traversed to obtain the boundary value of the dark connected area to determine that it is a backlit area. The embodiment of the present application is convenient for a user to judge a pixel color according to a color lightness value of each pixel, so as to determine a boundary value of a dark connected area to determine a backlight area. This optimizes the backlight area and improves the image quality in photos or videos.

It should be noted that according to the needs of implementation, each component / step described in the embodiment of the present application may be split into more components / steps, or two or more components / steps or partial operations of components / steps may be combined into New components / steps to achieve the purpose of the embodiments of the present application.

In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product including a computer program carried on a computer-readable medium, the computer program containing program code for performing a method shown in a flowchart. In such an embodiment, the computer program may be downloaded and installed from a network through a communication section, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), the aforementioned functions defined in the method of the present application are executed. It should be noted that the computer-readable medium described in this application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the foregoing. The computer-readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable memories Programming read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing. In this application, a computer-readable storage medium may be any tangible medium containing or storing a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium may include a data signal that is included in baseband or propagated as part of a carrier wave, which carries a computer-readable program code code. Such a propagated data signal may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. The computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device . Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for performing the operations of the present application may be written in one or more programming languages or a combination thereof, the programming languages including an object-oriented programming language such as Java, Smalltalk, C ++, and also conventional A procedural programming language such as "C" or a similar programming language. The program code can be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer, partly on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through the Internet using an Internet service provider) Connection).

The flowchart and block diagrams in the accompanying drawings illustrate the architecture, functions, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a portion of a code, which module, program segment, or part of the code contains one or more functions for implementing a specified logical function Executable instructions. It should also be noted that in some alternative implementations, the functions marked in the blocks may also occur in a different order than those marked in the drawings. For example, two blocks represented one after the other may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented in a dedicated hardware-based system that performs the specified function or operation. Or, it can be implemented by a combination of dedicated hardware and computer instructions.

The units described in the embodiments of the present application may be implemented in a software manner, or may be implemented in a hardware manner. The described unit may also be provided in a processor, for example, it may be described as: A processor includes a receiving unit, a parsing unit, an information selecting unit, and a generating unit. Wherein, the names of these units do not constitute a limitation on the unit itself in some cases, for example, the receiving unit may also be described as a "receiving a user's web browsing request. Yuan. "

As another aspect, the present application also provides a computer-readable storage medium having stored thereon a computer program, which is executed by a processor to implement a method as described in any one of the foregoing embodiments.

As another aspect, the present application further provides a computer-readable medium, which may be included in the device described in the foregoing embodiments; or may exist alone without being assembled into the device. The above computer-readable medium carries one or more programs, and when the one or more programs are executed by the device, the device is caused to: perform element segmentation on the obtained image according to a segmentation rule to obtain element feature information in the image Processing the element feature information to obtain an image element corresponding to the element feature information; obtaining an image element corresponding to the instruction according to a received user instruction, and performing a personalized operation according to the image element.

The above description is only a preferred embodiment of the present application and an explanation of the applied technical principles. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to the technical solution of the specific combination of the above technical features, but also covers the above technical features or Other technical solutions formed by arbitrarily combining their equivalent features. For example, the technical solution formed by replacing the above features with the technical features disclosed in this application (but not limited to) with similar functions.

Claims

Claim

1. A method for identifying a backlight region, characterized in that the method includes:

Color space transfer the obtained image to obtain the color lightness value of each pixel of the image in the HSL color space;

Determining, according to the color lightness value of each pixel, that the color of each pixel is closer to white or closer to black;

The color of each pixel is traversed to obtain the boundary value of the dark connected area to determine that it is a backlight area.

2. The method according to claim 1, wherein the step of traversing the colors of the pixels to obtain the boundary value of the dark connected region to determine that it is a backlight region comprises: The colors are sequentially traversed to obtain a dark connected area where the pixel colors all approach black.

The dark connected areas are merged, and the boundaries of the merged dark connected areas are statistically determined to determine that they are backlit areas.

3. The method according to claim 2, wherein the step of sequentially traversing the colors of the pixels in the image to obtain a dark connected area where the pixel colors all approach black.

Traverse the color of each pixel in the image in a column or a row, and compare the color of each pixel in each column or each row;

According to the colors of the pixels obtained by comparison, a dark connected area where the pixel colors are all black is obtained.

4. The method according to claim 3, wherein the obtaining the dark connected area where the pixel colors are black based on the colors of the pixels obtained according to the comparison is specifically: The color of each pixel is described to obtain a dark connected area where the pixel colors are all black.

5. The method according to claim 2, wherein the merging the dark-colored connected regions, and obtaining the boundaries of the merged dark-colored connected regions to determine that they are backlit regions are specifically:

6. A device for identifying a backlight region, characterized in that the device includes: A space conversion module configured to perform color space transfer on the obtained image to obtain a color brightness value of each pixel of the image in an HSL color space;

A color determining module configured to determine that the color of each pixel approaches white or black according to the color lightness value of each pixel;

The area determination module is configured to traverse the colors of the pixels to obtain the boundary value of the dark-colored continuous area to determine that it is a backlight area.

7. The device according to claim 6, wherein the area determining module comprises:

A color traversal unit configured to sequentially traverse the color of each pixel in the image to obtain a dark connected area where the color of each pixel approaches black.

The statistical merging unit is configured to merge the dark connected areas, and statistically obtain the boundaries of the merged dark connected areas to determine that they are backlit areas.

8. The device according to claim 7, wherein the color traversal unit comprises:

A traversal subunit configured to sequentially traverse the color of each pixel in the image in columns or rows, and compare the color of each pixel in each column or each row;

The connected subunits are configured to obtain the dark connected areas where the pixel colors are all black according to the colors of the pixels obtained by comparison.

9. The device according to claim 8, wherein the connected sub-unit is specifically configured to:

10. The apparatus according to claim 7, wherein the statistical merging unit is specifically configured to:

1 1. A device / terminal / server, including:

One or more processors;

A storage device for storing one or more programs,

When the one or more programs are executed by the one or more processors, such that the one The processor or processors implement the method of any of claims 1-5.

12. A computer-readable storage medium having stored thereon a computer program, characterized in that, when the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.