TW202111598A - Method and device for positioning target object in image, computer device and storage medium - Google Patents

Abstract

The invention provides method and device for positioning target object in image, a computer device and a computer storage medium. The method includes: obtaining an identified image; identifying at least one target area in the identified image, marking the target area, and obtaining at least one marked area, wherein the area of the marked area is greater than or equal to the area of the target area, and the target area is located in the marked area; processing the marked area by using a binarization algorithm, wherein after binarization, the color of the pixel in the target region is different from the color of the pixel outside the target region; identifying a boundary pixel and an effective pixel of the target area in the marked area; determining and outputting the center and size of the target area according to the position of the boundary pixel and the effective pixel.

Description

Target object positioning method, device, computer device and storage medium in image

The present invention relates to the field of locating target objects in images, in particular to a method for locating target objects in images, a device for locating target objects in images, computer devices and computer storage media.

With the development of image recognition technology, image recognition technology has been applied to all aspects of production and life. For example, the camera equipment can automatically recognize and accurately locate the position of a human face when taking a picture. In order to get a better recognition effect, the camera equipment needs to calibrate the positioning ability of the object to be recognized before leaving the factory. In the existing production process, the object to be recognized by the camera equipment is often positioned by manual calibration. The method has low accuracy and slow speed.

In view of the above, it is necessary to provide a method and device for locating a target object in an image, a computer device, and a computer-readable storage medium, so that the locating of the target object in the image can be performed in a smarter and faster way.

The first aspect of the present application provides a method for locating a target object in an image, and the method includes: Obtain the image to be recognized; Identify at least one target area in the image to be recognized, and mark the target area to obtain at least one marked area, wherein the area of the marked area is greater than or equal to the area of the target area, and the target The area is located in the marked area; Binarize the marked area, wherein the color of the pixel points in the target area after the binarization process is different from the color of the pixel points outside the target area; Identifying boundary pixels of the target area and valid pixels in the target area in the marked area; Determine and output the center and size of the target area through the positions of the boundary pixels and effective pixels.

Preferably, the step of identifying at least one target area in the image to be identified includes: Obtain the characteristic information of the target area to be identified; Searching for the feature information in the image to be recognized; If the characteristic information exists, determine the area with the characteristic information as the target area; If the feature information does not exist, a prompt message is issued to prompt that there is no target area.

Preferably, the step of identifying boundary pixels of the target area in the marking area includes: Identify the color of each pixel in the target area in the marked area; Judging the colors of the other eight pixel points adjacent to each pixel point in the target area; If the eight pixel points around the target area pixel points have pixel points that are consistent and inconsistent in color with the target area pixel points at the same time, then the target area pixel points are boundary pixels.

Preferably, the step of identifying boundary pixels of the target area in the marking area further includes: Searching for pixels to be calibrated other than the boundary pixels in the marked area; Judging whether there are boundary pixels in the level and vertical direction of the pixels to be calibrated; If there are boundary pixels in both the horizontal and vertical directions of the pixel to be calibrated, the pixel to be calibrated is a valid pixel.

Preferably, the method of determining and outputting the center and size of the target area through the positions of the boundary pixels and effective pixels includes: Connect all the boundary pixels in the marked area according to the positions of the effective pixels to obtain the shape of the target area; Calculate the size and center of the target area according to the shape of the target area.

A second aspect of the present application provides a device for locating a target object in an image, the device comprising: The acquisition module is used to acquire the image to be recognized; The identification module is used to identify at least one target area in the image to be recognized, and mark the target area to obtain at least one marked area, wherein the area of the marked area is greater than or equal to that of the target area Area, and the target area is located in the marked area; A processing module for binarizing the marked area, wherein the color of the pixel points in the target area after the binarization process is different from the color of the pixel points outside the target area; The search module is used to identify the boundary pixels of the target area and the effective pixels in the target area in the marked area; The output module is used to determine and output the center and size of the target area through the positions of the boundary pixels and effective pixels.

The third party of this application provides a computer device, the computer device includes a processor, and the processor is used to implement the aforementioned method for locating a target object in an image when executing a computer program stored in a memory.

The fourth aspect of the present application provides a computer storage medium on which a computer program is stored, and when the computer program is executed by a processor, the method for locating a target object in an image as described above is realized.

The method for locating the target object in the image of the present invention judges the color of the target area pixels and the surrounding pixels in the image, and determines the shape and size of the target area by the positions of the target area pixels and the surrounding pixels of the target area. The method can make the recognition of the target object in the image more accurate and faster.

In order to be able to understand the above objectives, features and advantages of the present invention more clearly, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the application and the features in the embodiments can be combined with each other if there is no conflict.

In the following description, many specific details are explained in order to fully understand the present invention. The described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments, and are not intended to limit the present invention.

Example one Please refer to FIG. 1, which is a flowchart of a method for locating a target object in an image provided by the first embodiment of the present invention. According to different needs, the order of the steps in the flowchart can be changed, and some steps can be omitted.

Step S1: Obtain an image to be recognized.

In one embodiment of the present invention, the image information of the image to be recognized collected by the photosensitive element is obtained by the processor in the imaging device. In other embodiments, the image to be recognized can also be obtained from other storage media.

Step S2. Identify at least one target area in the image to be recognized, and mark the target area to obtain at least one marked area, wherein the area of the marked area is greater than or equal to the area of the target area, and The target area is located in the marked area.

In an embodiment of the present invention, the step of identifying at least one target area in the image to be identified may include: Obtain the characteristic information of the target area to be identified; Searching for the feature information in the image to be recognized; If the feature information exists, mark the area with the feature information; If the feature information does not exist, a prompt message is issued.

For example, please refer to FIG. 2 which is a schematic diagram of the calibration area of the target object positioning method in the image provided by the first embodiment of the present invention. The processor in the imaging device obtains the image information of the image to be recognized, and obtains the characteristic information of the target area to be recognized from the data. The database stores the historical characteristic information of the target area to be recognized, and the processor Search for the target area with the characteristic information in the image to be recognized, and in the image to be recognized, the processor performs matching search with the characteristic information in the database, and marks the marked area containing the target area , As shown in the seven small boxes in Figure 2. 7 marked areas are marked in Figure 2, and each of the marked areas contains a complete target area, and the area of the marked area is larger than the area of the target area. Among the seven marked areas shown in Figure 2, because Some adjacent target areas are closely spaced. In some marked areas, not only a complete target area is included, but also some other target areas adjacent to the complete target area are included. In other embodiments of the present invention, the area of the marking area may also be equal to the area of the target area, and the target area is in the marking area; the shape of the marking area may also be a circle, a rectangle or other shapes.

If the processor does not find an area with the characteristic information in the image to be recognized, it sends a message in the form of prompt information that the target area is not found.

Step S3: Binarize the marked area, wherein the color of the pixel points in the target area after the binarization process is different from the color of the pixel points outside the target area.

In an embodiment of the present invention, please refer to FIG. 3 which is a schematic diagram of the binarization of the marked area of the target object positioning method in the image provided in the first embodiment of the present invention. The steps of binarizing the marked area may be: The color value of the pixel point in the target area is assigned 255, and the color value outside the recognized target area is assigned 0. After the binarization process, as shown in Figure 3, among the seven marked areas in the image to be recognized, the color of the pixel points in the target area is black, and the color of the pixel points outside the target area is White, there are four marked areas in Figure 3 that not only contain a complete target area, but also some other target areas adjacent to the complete target area, as shown in Figure 3, the part of other target areas The pixel value is given black after binarization.

Step S4: Identify boundary pixels of the target area and effective pixels in the target area in the marked area.

In an embodiment of the present invention, the step of identifying boundary pixels of the target area in the marked area may include: Identify the color of each pixel in the target area in the marked area; And judging the colors of the other eight pixel points adjacent to each pixel point in the target area; If the eight pixels around the pixel point of the target area simultaneously have pixel points with the same color as the pixel points of the target area and pixel points with different colors from the pixel points of the target area, then the target area The pixel points are boundary pixels.

For example, please refer to FIG. 4 for a schematic diagram of the boundary pixels and effective pixels of the target area in the method for locating a target object in an image according to the first embodiment of the present invention. For any marked area, according to the color value of the target area given in step S3, search for the pixel point with the color value of the target area in the marked area. As shown in Fig. 4, the pixel point of the target area is black, then the mark Find pixel points with pixel color value of 255 in the area. For any pixel point with a color value of 255, search for the colors of the other eight pixel points around the pixel point. If the color value of the other eight pixel points around the pixel point is 255 at the same time If there is a white pixel point with a color value of 0 and a black pixel point with a color value of 255, the pixel point with a color value of 255 located at the center of the eight pixel points is a boundary pixel. And mark the position of the boundary pixel.

The step of identifying boundary pixels of the target area in the marked area may include: Searching for pixels to be calibrated other than the boundary pixels in the marked area; Judging whether there are boundary pixels in the level and vertical direction of the pixels to be calibrated; If there are boundary pixels in both the horizontal and vertical directions of the pixel to be calibrated, the pixel to be calibrated is a valid pixel.

For example, please refer to FIG. 4 for a schematic diagram of the boundary pixels and effective pixels of the target area in the method for locating a target object in an image according to the first embodiment of the present invention. Search for other pixels to be calibrated except boundary pixels in the image to be marked. The pixels to be calibrated may be black pixels or white pixels. For any pixel to be calibrated, take the pixel to be calibrated as the center, and judge whether there are boundary pixels in the horizontal and vertical directions respectively. If the pixel to be calibrated is the center of the horizontal and vertical directions If there are boundary pixels, the pixels to be calibrated are valid pixels.

Step S5: Determine and output the center and size of the target area through the positions of the boundary pixels and effective pixels.

The method of determining and outputting the center and size of the target area through the positions of the boundary pixels and effective pixels may include: Determine the shape of the target area according to the position of the boundary pixels and the effective pixels in the marked area; Calculate the size and center of the target area according to the shape of the target area.

For example, the position of the boundary pixels and the effective pixels confirmed in step S4, the boundary pixels are connected to obtain the shape of the target area as a quadrilateral, and the target is obtained according to the center and area calculation formula of the quadrilateral The center of the area is shown in the schematic diagram of the positioning result of the target object positioning method in the image in Figure 5.

Figure 1 above describes in detail the method for locating a target object in an image of the present invention. In conjunction with Figures 6-7, the functional modules of the software device that implement the method for locating a target object in the image and the realization of the image The hardware device architecture of the target object positioning method is introduced.

It should be understood that the embodiments are only for illustrative purposes, and are not limited by this structure in the scope of the patent application.

Example two

Fig. 6 is a structural diagram of a preferred embodiment of a device for positioning a target object in an image of the present invention.

In some embodiments, the device 10 for locating the target object in the image runs in a computer device. The device 10 for locating the target object in the image may include a plurality of functional modules composed of code segments. The program code of each program segment in the target object positioning device 10 in the image can be stored in the memory of the computer device and executed by the at least one processor to realize the target object positioning function in the image.

In this embodiment, the device 10 for locating the target object in the image can be divided into multiple functional modules according to the functions it performs. Referring to FIG. 6, the functional modules may include: an acquisition module 101, an identification module 102, a processing module 103, a search module 104, and an output module 105. The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, which are stored in the memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

The obtaining module 101 is used to obtain an image to be recognized.

In one embodiment of the present invention, the image information of the image to be recognized collected by the photosensitive element is obtained by the processor in the imaging device. In other embodiments, the image to be recognized can also be obtained from other storage media.

The marking module 102 is used to identify at least one target area in the image to be recognized, and mark the target area to obtain at least one marked area, wherein the area of the marked area is greater than or equal to the target area , And the target area is located in the marked area.

In an embodiment of the present invention, the step of identifying at least one target area in the image to be identified may include: Obtain the characteristic information of the target area to be identified; Searching for the feature information in the image to be recognized; If the feature information exists, mark the area with the feature information; If the feature information does not exist, a prompt message is issued.

For example, please refer to FIG. 2 which is a schematic diagram of the calibration area of the target object positioning method in the image provided by the first embodiment of the present invention. The processor in the imaging device obtains the image information of the image to be recognized, and obtains the characteristic information of the target area to be recognized from the data. The database stores the historical characteristic information of the target area to be recognized, and the processor Search for the target area with the characteristic information in the image to be recognized, and in the image to be recognized, the processor performs matching search with the characteristic information in the database, and marks the marked area containing the target area , As shown in the seven small boxes in Figure 2. 7 marked areas are marked in Figure 2, and each of the marked areas contains a complete target area, and the area of the marked area is larger than the area of the target area. Among the seven marked areas shown in Figure 2, because Some adjacent target areas are closely spaced. In some marked areas, not only a complete target area is included, but also some other target areas adjacent to the complete target area are included. In other embodiments of the present invention, the area of the marking area may also be equal to the area of the target area, and the target area is in the marking area; the shape of the marking area may also be a circle, a rectangle or other shapes.

If the processor does not find an area with the characteristic information in the image to be recognized, it sends a message in the form of prompt information that the target area is not found.

The processing module 103 is configured to perform binarization processing on the marked area, wherein the color of the pixel points in the target area after the binarization process is different from the color of the pixel points outside the target area.

In an embodiment of the present invention, please refer to FIG. 3 which is a schematic diagram of the binarization of the marked area of the target object positioning method in the image provided in the first embodiment of the present invention. The steps of binarizing the marked area may be: The color value of the pixel point in the target area is assigned 255, and the color value outside the recognized target area is assigned 0. After the binarization process, as shown in Figure 3, among the seven marked areas in the image to be recognized, the color of the pixel points in the target area is black, and the color of the pixel points outside the target area is White, there are four marked areas in Figure 3 that not only contain a complete target area, but also some other target areas adjacent to the complete target area, as shown in Figure 3, the part of other target areas The pixel value is given black after binarization.

The search module 104 is used to identify boundary pixels of the target area and effective pixels in the target area in the marked area.

In an embodiment of the present invention, the step of identifying boundary pixels of the target area in the marked area may include: Identify the color of each pixel in the target area in the marked area; And judging the colors of the other eight pixel points adjacent to each pixel point in the target area; If the eight pixels around the pixel point of the target area simultaneously have pixel points with the same color as the pixel points of the target area and pixel points with different colors from the pixel points of the target area, then the target area The pixel points are boundary pixels.

For example, please refer to FIG. 4 for a schematic diagram of the boundary pixels and effective pixels of the target area in the method for locating a target object in an image according to the first embodiment of the present invention. For any marked area, according to the color value of the target area given in step S3, search for the pixel point with the color value of the target area in the marked area. As shown in Fig. 4, the pixel point of the target area is black, then the mark Find pixel points with pixel color value of 255 in the area. For any pixel point with a color value of 255, search for the colors of the other eight pixel points around the pixel point. If the color value of the other eight pixel points around the pixel point is 255 at the same time If there is a white pixel point with a color value of 0 and a black pixel point with a color value of 255, the pixel point with a color value of 255 located at the center of the eight pixel points is a boundary pixel. And mark the position of the boundary pixel.

The step of identifying boundary pixels of the target area in the marked area may include: Searching for pixels to be calibrated other than the boundary pixels in the marked area; Judging whether there are boundary pixels in the level and vertical direction of the pixels to be calibrated; If there are boundary pixels in both the horizontal and vertical directions of the pixel to be calibrated, the pixel to be calibrated is a valid pixel.

For example, please refer to FIG. 4 for a schematic diagram of the boundary pixels and effective pixels of the target area in the method for locating a target object in an image according to the first embodiment of the present invention. Search for other pixels to be calibrated except boundary pixels in the image to be marked. The pixels to be calibrated may be black pixels or white pixels. For any pixel to be calibrated, take the pixel to be calibrated as the center, and judge whether there are boundary pixels in the horizontal and vertical directions respectively. If the pixel to be calibrated is the center of the horizontal and vertical directions If there are boundary pixels, the pixels to be calibrated are valid pixels.

The output module 105 is used to determine and output the center and size of the target area through the positions of the boundary pixels and effective pixels.

The method of determining and outputting the center and size of the target area through the positions of the boundary pixels and effective pixels may include: Determine the shape of the target area according to the position of the boundary pixels and the effective pixels in the marked area; Calculate the size and center of the target area according to the shape of the target area.

For example, the position of the boundary pixels and the effective pixels confirmed in step S4, the boundary pixels are connected to obtain the shape of the target area as a quadrilateral, and the target is obtained according to the center and area calculation formula of the quadrilateral The center of the area is shown in the schematic diagram of the positioning result of the target object positioning method in the image in Figure 5.

Example three

FIG. 7 is a schematic diagram of a preferred embodiment of the computer device of the present invention.

The method for locating a target object in an image in the present invention is applied in the computer device 1. The computer device 1 may be an electronic device installed with software for locating a target object in an image, such as a personal computer, a server, etc., where the server may be a single server, a server cluster, or a cloud server, etc. .

The computer device 1 includes a memory 20, a processor 30, and a computer program 40 stored in the memory 20 and running on the processor 30, such as a program for locating a target object in an image. When the processor 30 executes the computer program 40, the steps in the embodiment of the method for locating a target object in the image are implemented, such as steps S1 to S5 shown in FIG. 1. Alternatively, when the processor 30 executes the computer program 40, the functions of the modules/units in the embodiment of the device for locating the target object in the image are realized, such as the units 101-105 in FIG. 6.

Exemplarily, the computer program 40 may be divided into one or more modules/units, and the one or more modules/units are stored in the memory 20 and executed by the processor 30 , To complete the present invention. The one or more modules/units may be a series of computer program instruction segments capable of completing a specific function, and the instruction segments are used to describe the execution process of the computer program 40 in the computer device 1. For example, the computer program 40 can be divided into the acquisition module 101, the identification module 102, the processing module 103, the search module 104, and the output module 105 in FIG. 7.

The computer device 1 may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server. Those skilled in the art can understand that the schematic diagram is only an example of the computer device 1 and does not constitute a limitation on the computer device 1. It may include more or less components than those shown in the figure, or combine certain components, or different ones. Components, for example, the computer device 1 may also include input and output devices, network access devices, bus bars, and the like.

The so-called processor 30 may be a central processing unit (Central Processing Unit, CPU), other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), and dedicated integrated circuits (Application Specific Integrated Circuit, ASIC). , Ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor 30 can also be any conventional processor, etc. The processor 30 is the control center of the computer device 1, which uses various interfaces and lines to connect the entire computer device 1 Various parts.

The memory 20 can be used to store the computer programs 40 and/or modules/units, the processor 30 runs or executes the computer programs and/or modules/units stored in the memory 20, and The data stored in the memory 20 is called to realize various functions of the computer device 1. The memory 20 may mainly include a storage program area and a storage data area. The storage program area may store an operating system, at least one application program (such as a sound playback function, an image playback function, etc.) required for at least one function, etc.; storage data The area can store data (such as audio data, phone book, etc.) created based on the use of the computer device 1. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), and a secure digital (Secure Digital, SD) card, flash memory card (Flash Card), at least one magnetic disk memory device, flash memory device, or other volatile solid-state memory device.

If the integrated module/unit of the computer device 1 is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiments and methods, and can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the foregoing method embodiments. Wherein, the computer program includes computer program code, and the computer program code may be in the form of original program code, object code, executable file, or some intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read- Only Memory), Random Access Memory (RAM, Random Access Memory), electrical carrier signal, telecommunications signal, and software distribution media, etc. It should be noted that the content contained in the computer-readable medium can be appropriately added or deleted according to the requirements of the legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to the legislation and patent practice, the computer-readable medium Does not include electrical carrier signals and telecommunication signals.

In the several embodiments provided by the present invention, it should be understood that the disclosed computer device and method can be implemented in other ways. For example, the computer device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there may be other divisions in actual implementation.

In addition, the functional units in the various embodiments of the present invention may be integrated in the same processing unit, or each unit may exist alone physically, or two or more units may be integrated in the same unit. The above-mentioned integrated unit can be realized either in the form of hardware, or in the form of hardware plus software functional modules.

For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description, and therefore it is intended to fall within the claims. All changes within the meaning and scope of the equivalent elements are included in the present invention. Any reference signs in the claims should not be regarded as limiting the involved claims. In addition, it is obvious that the word "including" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or computer devices stated in the claims can also be implemented by the same unit or computer device through software or hardware. The first, second and other words are used to denote names, but do not denote any specific order.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be Modifications or equivalent replacements are made without departing from the spirit and scope of the technical solutions of the present invention.

1: computer device 20: memory 30: processor 40: computer program 101: Get modules 102: Identification Module 103: Processing Module 104: Find Module 105: output module

FIG. 1 is a flowchart of a method for locating a target object in an image provided by Embodiment 1 of the present invention.

FIG. 2 is a schematic diagram of a calibration area of a method for locating a target object in an image provided by Embodiment 1 of the present invention.

FIG. 3 is a schematic diagram of the binarization of the marked area in the method for locating the target object in the image provided by the first embodiment of the present invention.

4 is a schematic diagram of the effective sum of the boundary of the target area of the method for locating the target object in the image provided by the first embodiment of the present invention.

FIG. 5 is a schematic diagram of a positioning result of a method for positioning a target object in an image provided by Embodiment 1 of the present invention.

Fig. 6 is a schematic structural diagram of a device for positioning a target object in an image provided by the second embodiment of the present invention.

FIG. 7 is a schematic diagram of a computer device provided in the third embodiment of the present invention.

Claims (10)

A method for locating a target object in an image, the method includes: Obtain the image to be recognized; Identify at least one target area in the image to be recognized, and mark the target area to obtain at least one marked area, wherein the area of the marked area is greater than or equal to the area of the target area, and the target The area is located in the marked area; Binarize the marked area, wherein the color of the pixel points in the target area after the binarization process is different from the color of the pixel points outside the target area; Identifying boundary pixels of the target area and valid pixels in the target area in the marked area; Determine and output the center and size of the target area through the positions of the boundary pixels and effective pixels. The method for locating a target object in an image according to the first item of the scope of patent application, wherein the step of recognizing at least one target area in the image to be recognized includes: Obtain the characteristic information of the target area to be identified; Searching for the feature information in the image to be recognized; If the characteristic information exists, determine the area with the characteristic information as the target area; If the feature information does not exist, a prompt message is issued to prompt that there is no target area. The method for locating a target object in an image according to the first item of the scope of patent application, wherein the step of identifying boundary pixels of the target area in the marked area includes: Identify the color of each pixel in the target area in the marked area; Judging the colors of the other eight pixel points adjacent to each pixel point in the target area; If the eight pixel points around the target area pixel points simultaneously have pixel points that are consistent and inconsistent in color with the target area pixel points, then the target area pixel points are boundary pixels. The method for locating a target object in an image as described in item 3 of the scope of patent application, wherein the step of identifying boundary pixels of the target area in the marked area further includes: Searching for pixels to be calibrated other than the boundary pixels in the marked area; Judging whether there are boundary pixels in the level and vertical direction of the pixels to be calibrated; If there are boundary pixels in both the horizontal and vertical directions of the pixel to be calibrated, the pixel to be calibrated is a valid pixel. The method for locating a target object in an image as described in the first item of the scope of patent application, wherein the method of determining and outputting the center and size of the target area by the positions of the boundary pixels and effective pixels includes: Connect all the boundary pixels in the marked area according to the positions of the effective pixels to obtain the shape of the target area; Calculate the size and center of the target area according to the shape of the target area. A device for locating a target object in an image, the device comprising: The acquisition module is used to acquire the image to be recognized; The identification module is used to identify at least one target area in the image to be identified, and mark the target area to obtain at least one marked area, wherein the area of the marked area is greater than or equal to that of the target area Area, and the target area is located in the marked area; A processing module for binarizing the marked area, wherein the color of the pixel points in the target area after the binarization process is different from the color of the pixel points outside the target area; The search module is used to identify the boundary pixels of the target area and the effective pixels in the target area in the marked area; The output module is used to determine and output the center and size of the target area through the positions of the boundary pixels and effective pixels. The device for locating a target object in an image according to claim 6 of the scope of patent application, wherein the step of identifying boundary pixels of the target area in the marked area includes: Identify the color of each pixel in the target area in the marked area; Judging the colors of the other eight pixel points adjacent to each pixel point in the target area; If the eight pixel points around the target area pixel points simultaneously have pixel points that are consistent and inconsistent in color with the target area pixel points, then the target area pixel points are boundary pixels. The device for locating a target object in an image as described in item 6 of the scope of patent application, wherein the step of identifying boundary pixels of the target area in the marked area further includes: Searching for pixels to be calibrated other than the boundary pixels in the marked area; Judging whether there are boundary pixels in the level and vertical direction of the pixels to be calibrated; If there are boundary pixels in both the horizontal and vertical directions of the pixel to be calibrated, the pixel to be calibrated is a valid pixel. A computer device, the computer device includes a processor, and the processor is used to implement the method for locating a target object in an image as described in any one of the scope of patent application 1 to 5 when executing a computer program stored in a memory. A computer storage medium has a computer program stored thereon, wherein when the computer program is executed by a processor, the method for locating a target object in an image as described in any one of the scope of patent application 1 to 5 is realized.

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