WO2019100766A1 - Image processing method and apparatus, electronic device and storage medium - Google Patents

Abstract

The solution in the embodiments of the present application relates to the technical field of computers, and in particular to an image processing method and apparatus, an electronic device and a storage medium. The method comprises: when it is detected that a camera of a terminal is started, determining whether a preview image photographed by the camera includes a human face; if the preview image includes a human face, determining the human face to be processed in the preview image; and carrying out a preset operation on the determined human face to be processed in the preview image. According to this implementation, a human face in an image can be subjectively selected for special processing, thus enriching the function of image processing and promoting the autonomy of a user.

Description

Image processing method, device, electronic device and storage medium Technical field

The solution in the embodiment of the present application relates to the field of computer technologies, and in particular, to an image processing method, device, electronic device, and storage medium.

Background technique

At present, various applications (Application, APP) having beauty or other special effects functions can be used in a smart terminal (for example, a mobile terminal) device, and people are increasingly accustomed to taking pictures with such an APP.

However, the beauty operations or special effects functions performed after taking pictures by such an APP are often performed on the entire image as a whole, for example, one-click beauty. As a result, its function is too general, and it is not possible to specifically treat one or a few faces in the image.

Summary of the invention

An image processing method, device, electronic device and storage medium are provided in the embodiment of the present application to solve the problem that the existing image processing functionality is single.

An aspect of the present application provides an image processing method, including: determining whether a human face is included in a captured preview image of the camera when detecting that the camera of the terminal is turned on; if the image includes a human face, determining a face to be processed in the preview image; performing a preset operation on the determined face to be processed in the preview image.

Optionally, the determining the face to be processed in the preview image includes: determining whether a face selection instruction is received within a preset time; if the face selection instruction is received within the preset time, acquiring The feature information carried by the face selection instruction, the feature information includes at least one of a location feature, a dressing feature, and a feature; and the face matching the feature information is determined to be processed in the preview image Face.

Optionally, the method further includes: if the face selection instruction is not received within the preset time, determining whether at least two faces are included in the preview image; if yes, acquiring the person in the preview image The face ratio of the face, the skin delicateness, and the skin color gloss; the at least two faces in the preview image are scored according to the face proportion of the face, the skin delicateness, and the skin tone gloss; As a result of the scoring, the face with the highest score in the preview image is obtained; and the face with the highest score is determined to be the face to be processed in the preview image.

Optionally, performing the preset operation on the determined human face in the preview image, including: performing a beauty treatment on the determined face in the preview image; and/or determining The face to be processed in the preview image is given a preset label.

Optionally, the method further includes: after the camera captures the preview image after performing the preset operation, receiving a save instruction; and executing the preview image after performing the preset operation according to the save instruction Save it.

Another aspect of the present application provides an image processing apparatus, including: a first determining module, configured to determine whether a human face is included in a captured preview image of the camera when detecting that the camera of the terminal is turned on; a determining module, configured to determine a face to be processed in the preview image if a face is included in the preview image; and the first processing module is configured to perform a preset on the determined face to be processed in the preview image Operation.

Optionally, the first determining module includes: a first determining unit, configured to determine whether a face selection instruction is received within a preset time; the first obtaining unit is configured to receive the The face selection instruction acquires feature information carried by the face selection instruction, the feature information includes at least one of a location feature, a dressing feature, and a appearance feature; and the first determining unit is configured to be associated with the feature information The matching face is determined as the face to be processed in the preview image.

Optionally, the first determining module further includes: a second determining unit, configured to determine whether the preview image includes at least two faces if the face selection instruction is not received within the preset time; a second obtaining unit, configured to: if yes, obtain a face proportion, a skin delicateness, and a skin color glossiness of the face in the preview image; the scoring unit is set to be based on the face proportion of the face, the skin delicateness, and The skin color gloss, the at least two faces in the preview image are scored; the third obtaining unit is configured to acquire a face with the highest score in the preview image according to the result of the scoring; the second determining unit And determining to determine that the face with the highest score is the face to be processed in the preview image.

Optionally, the first processing module is specifically configured to: perform beauty processing on the determined face in the preview image; and/or assign a pre-processed face to the determined preview image. Set the label.

Optionally, the device further includes: a receiving module, configured to receive a save instruction after the camera captures the preview image after performing the preset operation; and the saving module is configured to set according to the save instruction The preview image after the preset operation is performed is saved.

A still further aspect of the embodiments of the present application provides an electronic device, including: at least one processor; and a memory communicably coupled to the at least one processor; wherein the memory is stored for processing by the at least one An instruction executed by the at least one processor to enable the at least one processor to perform the method as described above.

In still another aspect of an embodiment of the present application, a storage medium is provided, in which a computer program is stored, the computer program being configured to execute the method as described above at runtime.

In the embodiment of the present application, after the terminal camera is turned on, it is first determined whether a face is included in the preview image captured by the terminal, and if a face is in the image, the face to be processed is determined according to a preset condition, thereby determining the waiting The processed face performs a preset operation. This embodiment can subjectively select a face in an image for special processing, enriches the function of image processing, and improves user autonomy.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

FIG. 1 is a schematic flowchart diagram of an image processing method according to an embodiment of the present application;

2 is a schematic flowchart of a method for determining a face to be processed in the image according to a preset condition in an image processing method according to an embodiment of the present disclosure;

3 is a schematic flowchart of an image processing method according to another embodiment of the present application;

4 is a schematic flowchart of an image processing method according to another embodiment of the present application;

FIG. 5 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present disclosure;

FIG. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed ways

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

It should be noted that, if there is no conflict, the various features in the embodiments of the present application may be combined with each other, and are all within the protection scope of the present application. In addition, although the division of the functional modules is performed in the device schematic, the logical sequence is shown in the flowchart, but in some cases, it may be performed in a different manner from the modules in the device schematic, or in the order in the flowchart. The steps shown or described. In addition, the words "first" and "second" as used herein do not limit the order of data and execution, but only distinguish the same or similar items whose functions and functions are substantially the same.

The embodiment of the present application provides an image processing method, which can be applied to a terminal device including a camera, and the terminal device includes a smart phone, a tablet computer, a portable computer, a smart camera, and the like. The method may be implemented by an APP running on a smart phone or a tablet, or may be implemented by a software installed in a portable computer, or may be implemented by a system software function in the mobile terminal device. As shown in FIG. 1, the image processing method includes:

S101. Determine, when the camera of the terminal is turned on, whether a human face is included in the captured preview image of the camera.

The camera preview image of the camera is a preview image corresponding to the preview mode, and determines whether the preview image includes a human face. Optionally, the preview image is preprocessed and feature extracted, so that the extracted image is extracted. The feature is matched with the preset facial feature. If the feature matching is the same, it indicates that the image to be captured corresponding to the camera includes a human face. In addition, it is also possible to determine whether a human face is included in an image to be captured corresponding to the camera by a method for recognizing a face in an image in the prior art.

S102. If a human face is included in the preview image, determine a face to be processed in the preview image.

In this embodiment, optionally, as shown in FIG. 2, determining a face to be processed in the preview image includes:

S1021: Determine whether a face selection instruction is received within a preset time;

S1022: If the face selection instruction is received in the preset time, acquiring feature information carried by the face selection instruction, where the feature information includes at least one of a location feature, a dressing feature, and a appearance feature. ;

S1023. Determine a face that matches the feature information as a face to be processed in the preview image.

The face selection instruction is used to select a face in the image, and the face selection instruction is issued by the user, and the user can issue the face selection instruction by touching the display screen or voice input. The preset time can be set manually or set by the system, for example, set to 10 seconds or 30 seconds.

In this embodiment, the face selection command may select one face in the image, or may select multiple faces in the image.

For example, when the user sends the face selection instruction by touching the display screen, when the user touches the display screen, the face selection instruction is triggered. At this time, the mobile terminal device performing the method can acquire the user touch on the display screen. a specific location, the specific location is the location feature; optionally, the facial feature of the image corresponding to the specific location is obtained, for example, the specific location is a nose, and the facial feature of the image corresponding to the specific location is a nose; The specific location is centered, and other facial features in the preset range are obtained. Finally, the entire human face is determined according to the obtained facial features and other facial features, and the determined entire human face is the to-be-processed Face.

For example, when the user sends the face selection command by voice, if there is only one face in the image, the user can directly output the "face" by voice, that is, the face is selected, and the face is processed later. The face and the background area can be distinguished to deal with the face separately; if the image includes multiple faces, the user can voice output a voice command such as "left face" or "middle face" by using the voice command obtained. Speech recognition and speech processing to determine the face selected by the user; in addition, when the image includes a plurality of faces, the user can also output a voice instruction including a person's dressing feature or appearance feature, such as "yellow hair", Double eyelids, "red clothes", etc., so that after the voice command is recognized by the machine, the face to be processed is determined.

S103. Perform a preset operation on the determined face to be processed in the preview image.

The performing the preset operation on the face to be processed includes: performing a beauty process on the determined face in the determined image; and/or, assigning a preset to the determined face to be processed in the image. label.

Among them, the effect of adding beauty can be specifically referred to the existing beauty mode. A label that is preset to the face to be processed, for example, "cute", "beautiful" and other text labels.

The embodiment of the present application provides an image processing method. After the terminal camera is turned on, it is first determined whether a preview image captured by the terminal includes a human face. If a face is in the image, it is determined whether a person is received within a preset time. The face selection instruction, if a face selection instruction is received, determines a face to be processed according to the face selection instruction, thereby performing a preset operation on the determined face to be processed. This embodiment can subjectively select a face in an image for special processing, enriches the function of image processing, and improves user autonomy.

In the above embodiment, the face of the image can be selected by the user autonomously, so that the face selected by the user is specially processed. When the user does not issue a face selection instruction within a preset time, the system can determine the face to be processed. Optionally, as shown in FIG. 3, another embodiment of the present application provides an image processing method, where the method further includes:

S201: When detecting that the camera of the terminal is turned on, determining whether a preview image captured by the terminal includes a human face;

S202. If the preview image includes a human face, determine whether a face selection instruction is received within a preset time;

S203: If the face selection instruction is not received in the preset time, determine whether at least two faces are included in the preview image; the process is a face recognition process, and may refer to determining the preview image in the foregoing embodiment. Whether there is a step in the face.

S204. If yes, obtain a face proportion, a skin delicateness, and a skin color gloss of the face in the preview image;

Wherein, the face proportion of the face can be calculated based on the existing related algorithm of face recognition, the proportion of the face including the proportion of the length and the width of the entire face, and the proportion between some facial features in a face.

Wherein, obtaining the skin delicateness and skin gloss of the face in the preview image relates to an image-based skin detection technology, and in this embodiment, a skin detection method based on the HSV color space, a content-based image skin detection method, and Image skin detection is performed by other methods such as multi-spectral imaging skin detection methods, and skin delicateness and skin gloss are obtained during the detection process. It should be noted that the specific processes of the HSV color space-based skin detection method, the content-based image skin detection method, and the multi-spectral imaging-based skin detection method are described in detail in the related art, and are not described herein again.

S205. Score the at least two faces in the preview image according to a face ratio, a skin delicateness, and a skin tone gloss of the face;

In this embodiment, a face database is pre-established, and data of a face in real life is collected, thereby storing a large amount of data of different face proportions in the preset face database, and data of different skin details. And the data of different skin glosses, and determining the weight of each data in the preset face database based on the existing public aesthetic standards, for example, the closer the face ratio is to the "three courts and five eyes" standard, then the person The weight of the face proportion is higher.

After acquiring the face proportion, the skin delicateness, and the skin color gloss of the face in the image, according to the face proportion of the face, the skin detail, and the skin color gloss, respectively, the preset person Searching in the face database to find the same data as the data, so as to determine the face proportion, skin fineness and skin color gloss of the face in the image according to the weight corresponding to the same data. Finally, The weights of the three parameters are summed and the sum obtained is the score of the face.

The score value of each face in the image is calculated according to the above embodiment, thereby completing the process of scoring the face in the image.

It should be noted that the face in the image may be scored by other methods, without being bound to the method provided in this embodiment.

S206. Acquire, according to the result of the scoring, a face with the highest score in the preview image;

S207. Determine that the face with the highest score is the face to be processed;

S208. Perform a preset operation on the determined face to be processed in the preview image.

After scoring each face in the image including the plurality of faces, the face with the highest score is obtained, and the face can be regarded as the most beautiful face in the image. In this embodiment, the most beautiful face is Make a beauty treatment and add a preset label to the highest scored face, which can be "most beautiful". Finally, the image after the preset operation is performed is displayed on the screen of the terminal, and in addition, the scoring result of the face in the image may be simultaneously displayed.

It should be noted that when the face in the image moves in the camera screen, the label or the score corresponding to the face moves along with the movement of the face, and the special treatment effect on the face also follows the face. The movement moves, so that the label, the scoring result, and the special processing effect are not separated from the face, and the processed image can be made more natural.

In this embodiment, the face image after the beauty treatment, and/or the labeled face image, and/or the score corresponding to the face image are displayed, so that the user can see the final processing result. . In addition to the advantageous effects of the above embodiments, this embodiment also enhances the interactivity between users during self-photographing because the results corresponding to each face are displayed on the image.

It should be noted that when the user does not issue a face selection instruction within a preset time, and the image includes only one face, the above method may be used to score the only one face in the image, and finally, the user may display The score of the face is scored, thereby increasing the entertainment of the user when taking a selfie.

In some other embodiments, the method may further include: acquiring, according to the result of the scoring, a face with the lowest score in the image; according to the proportion of the face corresponding to the face with the lowest score, the skin delicateness, and Skin color glossiness, obtaining evaluation information of the face with the lowest score; displaying the evaluation information in a preset area of the face with the lowest score in the image, such as serious dark circles, darker skin, a small amount of color Spot and so on. Therefore, it is possible to provide reference suggestions for people who are not beautiful in the image, to help the unbeautiful person to become beautiful, to make the self-timer scientifically meaningful, and to enhance the user experience.

In some other embodiments, the method further includes: performing beauty treatment on the other faces of the at least two faces according to the obtained skin delicateness and skin color gloss corresponding to the highest scored face . It can be understood that the person with the highest score is the "most beautiful" person according to the aesthetics of the public. Here, the other people's skin parameters are used to beautify other people, so that other faces in the image can be close to the most beautiful user. The human face enriches the image beauty method and enhances the user's entertainment.

An embodiment of the present application provides an image processing method. When detecting a plurality of human faces in a preview image, the method performs scoring of multiple faces in the preview image by using related technologies such as face recognition and face skin detection. The "most beautiful" face, and special treatment of the "most beautiful" face. This embodiment can separately process one or a few faces in the preview image, which not only enriches the function of image processing, but also enhances the entertainment of the user during self-timer.

Please refer to FIG. 4. FIG. 4 is a schematic flowchart diagram of an image processing method according to another embodiment of the present application. The main difference between FIG. 4 and FIG. 3 above is that the method further includes:

S209, after the camera captures the preview image after performing the preset operation, receiving a save instruction; the save instruction may be triggered by the user actively, for example, the user triggers the save instruction by performing a preset operation, the pre- The operation may be that the finger draws a preset gesture on the screen, or may press a save button on the mobile terminal device, or may be a voice output save command, and the like. The save command can also be triggered automatically by the system, for example, when the system captures a smile on the face of the image, that is, an automatic screenshot, and the like.

S210. Save the preview image after the execution of the preset operation according to the save instruction.

The user can share the saved image to a preset third-party application according to his or her own desire, and the third-party application includes WeChat, QQ, Weibo, and the like.

The embodiment of the present application provides an image processing method. After the camera is turned on, the method first determines whether a face is included in the captured preview image of the camera. If a face is in the image, it is determined whether the person is received within the preset time. a face selection instruction, if a face selection instruction is received, determining a face to be processed according to the face selection instruction, thereby performing a preset operation on the determined face to be processed; if the face selection instruction is not received, and determining When at least two faces are included in the image, the "most beautiful" face in the image is determined by the face recognition technology and the face skin detection technology, and the "most beautiful" face is processed correspondingly, optionally, in the After the camera has finished processing the processed image, the captured image is saved. In this embodiment, on the one hand, the face in the image can be subjectively selected for special processing, the function of the image processing is enriched, the user's autonomy is enhanced, and on the other hand, the user's self-photographing is enhanced and the user experience is improved.

Please refer to FIG. 5. FIG. 5 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present application. As shown in FIG. 5, the device 30 includes: a first determining module 301, a first determining module 302, and a first processing module 303.

The first determining module 301 is configured to determine whether a human face is included in the captured preview image of the camera when the camera of the terminal is detected to be turned on. The first determining module 302 is configured to: if the image includes a human face, Determining a face to be processed in the preview image; the first processing module 303 is configured to perform a preset operation on the determined face to be processed in the preview image.

The first processing module 303 is specifically configured to: perform beauty processing on the determined face in the preview image; and/or, give a pre-determined face to be processed in the determined preview image. Set the label.

In this embodiment, the first determining module 302 includes: a first determining unit 3021, a first obtaining unit 3022, and a first determining unit 3023. The first determining unit 3021 is configured to determine whether a face selection instruction is received within a preset time; the first obtaining unit 3022 is configured to acquire the face if the face selection instruction is received within the preset time Selecting feature information carried by the instruction, the feature information including at least one of a location feature, a dressing feature, and a appearance feature; the first determining unit 3023 is configured to determine a face that matches the feature information as the preview The face to be processed in the image.

In other embodiments, referring to FIG. 5, if the face selection instruction is not received within the preset time, the first determining module 302 further includes: a second determining unit 3024, a second obtaining unit 3025, The scoring unit 3026, the third obtaining unit 3027, and the second determining unit 3028. The second determining unit 3024 is configured to determine whether the preview image includes at least two faces if the face selection instruction is not received within the preset time; and the second obtaining unit 3025 is configured to acquire if yes a face ratio, a skin delicateness, and a skin color gloss of the face in the preview image; the scoring unit 3026 is configured to be in the preview image according to the face proportion, the skin delicateness, and the skin color gloss of the face The at least two faces are scored; the third obtaining unit 3027 is configured to acquire a face with the highest score in the preview image according to the result of the scoring; and the second determining unit 3028 is configured to determine that the score is the highest The face is the face to be processed in the preview image.

In other embodiments, referring also to FIG. 5, the apparatus 30 further includes a receiving module 304, a saving module 305, and a sharing module 306. The receiving module 304 is configured to receive a save instruction after the camera captures the preview image after performing the preset operation, and the saving module 305 is configured to perform the preset operation according to the save instruction. The preview image is saved; the sharing module 306 is configured to share the saved preview image.

It should be noted that, in the image processing apparatus in the embodiment of the present application, the information exchange, the execution process, and the like between the modules are based on the same concept as the method embodiment of the present application, and the specific content is also applicable to the image processing apparatus. . The various modules in the embodiments of the present application can be implemented as separate hardware or software, and a combination of functions of the respective units can be implemented using separate hardware or software as needed.

An embodiment of the present application provides an image processing apparatus. After the terminal camera is turned on, it is determined whether a preview image captured by the terminal includes a human face. If a face is in the image, it is determined whether a person is received within a preset time. a face selection instruction, if a face selection instruction is received, determining a face to be processed according to the face selection instruction, thereby performing a preset operation on the determined face to be processed; if the face selection instruction is not received, and determining When at least two faces are included in the image, the "most beautiful" face in the image is determined by the face recognition technology and the face skin detection technology, and the "most beautiful" face is processed correspondingly, optionally, in the After the camera has finished processing the processed image, the captured image is saved. In this embodiment, on the one hand, the face in the image can be subjectively selected for special processing, the function of the image processing is enriched, the user's autonomy is enhanced, and on the other hand, the user's self-photographing is enhanced and the user experience is improved.

Please refer to FIG. 6. FIG. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in FIG. 6, the electronic device 40 includes:

One or more processors 41 and a memory 42 are exemplified by a processor 41 in FIG.

The processor 41 and the memory 42 may be connected by a bus or other means, as exemplified by a bus connection in FIG.

The memory 42 is a non-volatile computer readable storage medium, and can be used for storing non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions corresponding to the image processing methods in the embodiments of the present application. / Module (for example, the modules and units shown in Figure 5). The processor 41 executes various functional applications and data processing of the server by executing nonvolatile software programs, instructions, and modules stored in the memory 42, that is, the image processing method of the above method embodiment is implemented.

The memory 42 may include a storage program area in which an operating system, an application required for at least one function, and a storage data area may be stored, wherein the storage data area may store data created according to use of the image processing apparatus, and the like. Moreover, memory 42 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 42 may optionally include memory remotely located relative to processor 41, which may be coupled to the image processing device over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The one or more modules are stored in the memory 42 and, when executed by the one or more processors 41, perform an image processing method in any of the above method embodiments, for example, performing the above described FIG. Method steps S101 to S103, method steps S1021 to S1023 in FIG. 2, method steps S201 to S208 in FIG. 3, and method steps S201 to S210 in FIG. 4, implementing modules 301-306 in FIG. , the function of the unit 3021-3028.

The above products can perform the methods provided by the embodiments of the present application, and have the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiments of the present application.

The electronic device of the embodiment of the present application exists in various forms, including but not limited to:

(1) Mobile communication devices: These devices are characterized by mobile communication functions and are mainly aimed at providing voice and data communication. Such terminals include: smart phones, multimedia phones, functional phones, and low-end phones.

(2) Ultra-mobile personal computer equipment: This type of equipment belongs to the category of personal computers, has computing and processing functions, and generally has mobile Internet access. Such terminals include: PDAs, MIDs, and UMPC devices.

(3) Other electronic devices with data interaction functions.

The embodiment of the present application provides a non-transitory computer readable storage medium storing computer-executable instructions that are executed by an electronic device to perform any of the above method embodiments. The image processing method in the method, for example, performs the method steps S101 to S103 in FIG. 1 described above, the method steps S1021 to S1023 in FIG. 2, the method steps S201 to S208 in FIG. 3, and the method in FIG. Steps S201 to S210 implement the functions of the modules 301-306 and 3021-3028 in FIG.

An embodiment of the present application provides a computer program product, including a computing program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by a computer, The computer executes the image processing method in any of the above method embodiments, for example, performs the method steps S101 to S103 in FIG. 1 described above, the method steps S1021 to S1023 in FIG. 2, and the method steps S201 to S in FIG. S208, the method steps S201 to S210 in FIG. 4, the functions of the modules 301-306 and the units 3021-3028 in FIG. 5 are implemented.

The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

Through the description of the above embodiments, those skilled in the art can clearly understand that the various embodiments can be implemented by means of software plus a general hardware platform, and of course, by hardware. A person skilled in the art can understand that all or part of the process of implementing the above embodiments can be completed by a computer program to instruct related hardware, and the program can be stored in a computer readable storage medium. When executed, the flow of an embodiment of the methods as described above may be included. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not limited thereto; in the idea of the present application, the technical features in the above embodiments or different embodiments may also be combined. The steps may be carried out in any order, and there are many other variations of the various aspects of the present application as described above, which are not provided in the details for the sake of brevity; although the present application has been described in detail with reference to the foregoing embodiments, The skilled person should understand that the technical solutions described in the foregoing embodiments may be modified, or some of the technical features may be equivalently replaced; and the modifications or substitutions do not deviate from the embodiments of the present application. The scope of the technical solution.

Industrial applicability

As described above, an image processing method, apparatus, electronic device, and storage medium provided by the embodiments of the present invention have the following beneficial effects: subjectively selecting a face in an image for special processing, enriching the function of image processing, and improving the user Autonomy.

Claims (12)

An image processing method comprising: When detecting that the camera of the terminal is turned on, determining whether a human face is included in the captured preview image of the camera; Determining a face to be processed in the preview image if a face is included in the preview image; A preset operation is performed on the determined face to be processed in the preview image. The method of claim 1, wherein the determining a face to be processed in the preview image comprises: Determining whether a face selection instruction is received within a preset time; If the face selection instruction is received in the preset time, acquiring feature information carried by the face selection instruction, the feature information includes at least one of a location feature, a dressing feature, and a appearance feature; A face matching the feature information is determined as a face to be processed in the preview image. The method of claim 2, wherein the method further comprises: If the face selection instruction is not received within the preset time, determining whether at least two faces are included in the preview image; If yes, obtaining a face proportion, a skin delicateness, and a skin color gloss of the face in the preview image; Sorting the at least two faces in the preview image according to a face proportion, a skin delicateness, and a skin tone gloss of the face; Obtaining a face with the highest score in the preview image according to the result of the scoring; Determining that the face with the highest score is the face to be processed in the preview image. The method according to any one of claims 1 to 3, wherein the performing a preset operation on the determined face to be processed in the preview image comprises: Performing a beauty treatment on the determined face in the preview image; and/or A preset label is given to the face to be processed in the determined preview image. The method of claim 4 wherein the method further comprises: Receiving a save instruction after the camera captures the preview image after performing the preset operation; The preview image after the execution of the preset operation is saved according to the save instruction. An image processing apparatus comprising: The first determining module is configured to determine whether a human face is included in the captured preview image of the camera when the camera of the terminal is detected to be turned on; a first determining module, configured to determine a face to be processed in the preview image if a face is included in the preview image; The first processing module is configured to perform a preset operation on the determined face to be processed in the preview image. The apparatus of claim 6, wherein the first determining module comprises: The first determining unit is configured to determine whether a face selection instruction is received within the preset time; a first acquiring unit, configured to acquire feature information carried by the face selection command if the face selection instruction is received within the preset time, where the feature information includes a location feature, a dressing feature, and an appearance feature At least one The first determining unit is configured to determine a face that matches the feature information as a face to be processed in the preview image. The apparatus according to claim 7, wherein the first determining module further comprises: a second determining unit, configured to determine whether at least two faces are included in the preview image if the face selection instruction is not received within the preset time; a second obtaining unit, configured to: if yes, obtain a face proportion, a skin delicateness, and a skin color gloss of the face in the preview image; a scoring unit, configured to score the at least two faces in the preview image according to a face proportion, a skin delicateness, and a skin color gloss of the face; a third obtaining unit, configured to acquire a face with the highest score in the preview image according to the result of the scoring; The second determining unit is configured to determine that the face with the highest score is the face to be processed in the preview image. The device according to any one of claims 6-8, wherein the first processing module is specifically configured to: Performing a beauty treatment on the determined face in the preview image; and/or A preset label is given to the face to be processed in the determined preview image. The apparatus of claim 9 wherein said apparatus further comprises: a receiving module, configured to receive a save instruction after the camera captures the preview image after performing the preset operation; The saving module is configured to save the preview image after the execution of the preset operation according to the saving instruction. An electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method of any of claims 1-5 method. A storage medium, wherein the storage medium stores a computer program, the computer program being arranged to perform the method of any one of claims 1-5 when executed.

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