CN108776800A - Image processing method, mobile terminal and computer readable storage medium - Google Patents

Abstract

The application is applicable to the technical field of image processing, and provides an image processing method, a mobile terminal and a computer readable storage medium, wherein the image processing method comprises the following steps: the method comprises the steps of obtaining a preview picture collected by a camera in the mobile terminal, identifying the preview picture to obtain an identification result, wherein the identification result is used for indicating whether a foreground target exists in the preview picture and a foreground label of the foreground target when the foreground target exists, recording a foreground target corresponding to a preset label combination as a processing target if at least two foreground targets exist in the preview picture and a preset label combination exists in a foreground label combination of the foreground target, obtaining a background image corresponding to each processing target in the preview picture, carrying out virtual processing on the background image corresponding to each processing target, and obtaining diversified images through the method.

Description

An image processing method, mobile terminal and computer-readable storage medium

technical field

The present application belongs to the technical field of image processing, and in particular relates to an image processing method, a mobile terminal and a computer-readable storage medium.

Background technique

With the development of smart mobile terminals, people use mobile phones and other mobile terminals to take pictures more and more frequently. The photographing functions of most existing mobile terminals support image processing, for example, filter functions, skin smoothing functions, whitening functions, etc. for human faces.

However, the current image processing methods are relatively simple, for example, the processing for human faces is processing related to beauty. Therefore, the effect of the photos currently taken is relatively simple, and the user experience is relatively poor.

Contents of the invention

In view of this, the embodiments of the present application provide an image processing method, a mobile terminal, and a computer-readable storage medium, so as to solve the problems of single effect of currently taken photos and poor user experience.

The first aspect of the embodiments of the present application provides an image processing method, including:

Obtaining a preview picture collected by the camera in the mobile terminal, and identifying the preview picture to obtain a recognition result, the recognition result is used to indicate whether there is a foreground object in the preview picture, and when the foreground object exists, the the foreground label of the foreground target;

If there are at least two foreground objects in the preview image, it is judged whether there is a preset label combination in the combination of foreground labels of the foreground objects;

If there is a preset tag combination in the foreground tag combination of the foreground object, then mark the foreground object corresponding to the preset tag combination as a processing target, and obtain a background image corresponding to each processing target in the preview picture , and blur the background image corresponding to each processing target.

The second aspect of the embodiments of the present application provides a mobile terminal, including:

A recognition result acquisition module, configured to obtain a preview picture captured by a camera in the mobile terminal, and to identify the preview picture to obtain a recognition result, the recognition result being used to indicate whether there is a foreground target in the preview picture, and whether there is The foreground object is a foreground label of the foreground object;

A judging module, configured to judge whether there is a preset tag combination in the foreground tag combination of the foreground object if there are at least two foreground objects in the preview image;

A blurring processing module, configured to mark the foreground object corresponding to the preset tag combination as a processing target if there is a preset tag combination in the foreground tag combination of the foreground object, and obtain each background images corresponding to each processing target, and blur the background image corresponding to each processing target.

The third aspect of the embodiments of the present application provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and operable on the processor, when the processor executes the computer program The steps of the method provided in the first aspect of the embodiment of the present application are realized.

The fourth aspect of the embodiment of the present application provides a computer-readable storage medium, the computer-readable storage medium stores a computer program, and when the computer program is executed by one or more processors, the first embodiment of the present application is implemented. The steps of the method provided in the aspect.

The fifth aspect of the embodiment of the present application provides a computer program product, the computer program product includes a computer program, and when the computer program is executed by one or more processors, it implements the described method steps.

The embodiment of the present application acquires the preview picture collected by the camera in the mobile terminal, and recognizes the preview picture to obtain a recognition result, and the recognition result is used to indicate whether there is a foreground object in the preview picture and the presence of the foreground The object is the foreground label of the foreground object. If there are at least two foreground objects in the preview screen, it is judged whether there is a preset label combination in the foreground label combination of the foreground object. If the foreground object’s foreground If there is a preset tag combination in the tag combination, mark the foreground object corresponding to the preset tag combination as a processing target, obtain the background image corresponding to each processing target in the preview screen, and process each processing target The corresponding background image is blurred. In this application, when there are at least two foreground objects in the preview image captured by the camera, it is judged whether there is a preset tag combination in the foreground tag combination of the foreground object. If there is a preset tag combination, the background image of each foreground object corresponding to the preset tag combination can be blurred, so that the captured photos can present various effects.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the accompanying drawings that need to be used in the descriptions of the embodiments or the prior art will be briefly introduced below. Obviously, the accompanying drawings in the following description are only for the present application For some embodiments, those of ordinary skill in the art can also obtain other drawings based on these drawings without paying creative efforts.

FIG. 1 is a schematic diagram of an implementation flow of an image processing method provided in an embodiment of the present application;

Fig. 2 is a schematic diagram of the implementation flow of another image processing method provided by the embodiment of the present application;

FIG. 3 is a schematic diagram of an implementation flow of another image processing method provided by an embodiment of the present application;

FIG. 4 is a schematic block diagram of a mobile terminal provided by an embodiment of the present application;

Fig. 5 is a schematic block diagram of another mobile terminal provided by an embodiment of the present application.

Detailed ways

In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and/or components, but does not exclude one or more other features. , whole, step, operation, element, component and/or the presence or addition of a collection thereof.

It should also be understood that the terminology used in the specification of this application is for the purpose of describing particular embodiments only and is not intended to limit the application. As used in this specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural referents unless the context clearly dictates otherwise.

It should also be further understood that the term "and/or" used in the description of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations .

As used in this specification and the appended claims, the term "if" may be construed as "when" or "once" or "in response to determining" or "in response to detecting" depending on the context . Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be construed, depending on the context, to mean "once determined" or "in response to the determination" or "once detected [the described condition or event] ]” or “in response to detection of [described condition or event]”.

In order to illustrate the technical solutions described in this application, specific examples are used below to illustrate.

Fig. 1 is a schematic diagram of the implementation flow of an image processing method provided in the embodiment of the present application. As shown in the figure, the method may include the following steps:

Step S101, acquiring a preview image captured by a camera in the mobile terminal, and identifying the preview image to obtain an identification result, the identification result being used to indicate whether there is a foreground object in the preview image, and what to do when the foreground object exists. The foreground label for the described foreground target.

In the embodiment of the present application, the preview image is an image captured in real time by a camera on the mobile terminal and displayed on a display screen. When the preview picture is identified, it is possible to identify whether there is a foreground target in the preview picture through a convolutional neural network model. If the recognition result is that there is a foreground target, the recognition image with a detection frame can be output, and the detection frame is a recognition image. The foreground object of , and output the foreground label of the foreground object at the same time. If no foreground object is identified in the preview image, the original image may be output, that is, if there is no foreground object, then there is no foreground label.

Step S102, if there are at least two foreground objects in the preview image, then judge whether there is a preset label combination in the foreground label combination of the foreground objects.

In this embodiment of the application, usually when a user takes a photo, multiple foreground targets can be identified through the target recognition model, for example, three human face images are recognized, or a human face image and an animal image are recognized, and it is also possible to recognize to a face image and a flower image.

In the embodiment of the present application, in order to highlight the foreground object that the user focuses on, the background image around the foreground object that the user focuses on is blurred. When the user needs to take two face images, the background image around each face image needs to be blurred. The background image of the dog and the background image around the dog are blurred. So we can pre-set some tag combinations, for example, face tag + face tag, face tag + animal tag, etc.

For the convenience of understanding, we use an example to illustrate: the recognized foreground targets include four: face, human face, dog, and flower, and the corresponding foreground tags are: face tag, face tag, animal tag, plant tag, preset If the set label combination is: face label+animal label, it means that there is a preset label combination in the foreground label combination of the foreground object, and then the foreground objects around the foreground object corresponding to the face label in the preset label combination can be The background image is blurred (the background images corresponding to the two face images are blurred), and at the same time, the background image around the foreground object corresponding to the animal label is blurred (the background image around the dog is blurred).

It should be noted that the combinations corresponding to the four foreground labels (indicated by A, B, C, and D respectively) are: AB, AC, AD, BC, BD, CD, ABC, ABD, ACD, BCD, and ABCD.

Of course, in practical applications, it can also be set to face tags + animal tags + other tags, that is, as long as there are both face tags and animal tags in the foreground tags of the identified foreground target, then it is considered that the foreground tag of the foreground target Combined into a preset tag combination, you can blur the background images corresponding to all foreground objects, and it can also be face tags + other tags. The above preset tag combinations are just for example and will not be done here. limit.

Step S103: If there is a preset tag combination in the foreground tag combination of the foreground object, mark the foreground object corresponding to the preset tag combination as a processing object, and obtain the corresponding background image, and blur the background image corresponding to each processing target.

In this embodiment of the present application, the background image corresponding to each processing target in the preview screen may be an image in which the processing target is removed from the image in the detection frame corresponding to each processing target in the preview screen. Of course, in practical applications, images of other regions may also be set as the background image of the processing target, for details, refer to the description in the embodiment shown in FIG. 3 .

As another embodiment of the present application, if there is a preset tag combination in the foreground tag combination of the foreground object, before marking the foreground object corresponding to the preset tag combination as a processing object, further include:

Obtain the proportion of each foreground object corresponding to the preset label combination in the preview screen;

If among the foreground objects corresponding to the preset tag combination, there is a foreground object whose proportion in the preview screen is greater than a preset value, then among the foreground objects corresponding to the preset tag combination, in the foreground object The foreground object whose proportion in the above preview image is greater than the preset value is marked as the processing target.

In this embodiment of the application, the target that the user wants to focus on usually takes up a relatively large proportion in the preview screen. In this way, in addition to judging which foreground target is the target that the user focuses on through the preset tag combination, you can also use the The proportion in the preview screen further determines which foreground object is the object that the user focuses on shooting. This is to prevent the user from recognizing multiple face images at the same time when taking a selfie in a crowded place. In fact, the user may focus on shooting himself, and the proportion of recognized faces in the crowd in the preview screen Relatively small, it is not possible to blur the background image corresponding to the recognized face in the crowd. In order to facilitate the distinction, among the foreground objects corresponding to the preset tag combination, the foreground objects whose proportion in the preview image is greater than a preset value may be marked as processing objects, as objects that the user focuses on shooting.

In this application, when there are at least two foreground objects in the preview image captured by the camera, it is judged whether there is a preset label combination in the combination of foreground labels of the foreground objects. If there is a preset label combination, the preset The background image of each foreground object corresponding to the label combination of the corresponding object is blurred, which can make the photos taken show a variety of effects.

Fig. 2 is a schematic flowchart of another image processing method provided by the embodiment of the present application. As shown in the figure, this method is based on the embodiment shown in Fig. 1, and describes how to virtualize the background image corresponding to each processing target. processing may include the following steps:

Step S201, acquiring the in-focus target corresponding to the preview image and the depth information of the processing target.

In the embodiment of the present application, when the camera is imaging, the plane passing through the focal point and perpendicular to the main axis is called the focal plane. For the convenience of understanding, we give a popular explanation. Objects that are usually equidistant from the camera lens, their imaging focus is on a plane, and objects that are imaged on the focal plane are called quasi-focus targets. The distance between them and the lens is equal. Objects that are imaged in front of and behind the focal plane are distributed in front of and behind the in-focus target in the actual scene. Points imaged on the focal plane (that is, in-focus objects) can form a relatively clear image, while the images formed by points not imaged on the focal plane are relatively unclear.

The acquisition of the quasi-focus target corresponding to the preview image includes:

Determining a focal plane corresponding to the preview image based on the depth of field information distribution corresponding to the current preview image captured by the dual cameras of the mobile terminal, and determining an in-focus target based on the focal plane;

or,

Acquiring the foreground target selected by the user through the touch screen displaying the preview image, and using the foreground target selected by the user through the touch screen as the in-focus target;

or,

Based on the position information of each foreground object in the preview image, an in-focus object is determined from the foreground objects.

In the embodiment of the present application, the dual cameras set on the mobile terminal can capture the depth information of each object in the scene corresponding to the current preview image, and can form the depth information distribution of the current preview image, from which the depth information distribution can be obtained. The focal plane corresponding to the preview image, based on the focal plane, the in-focus target can be determined. The foreground object selected by the user through the touch screen displaying the preview image may also be obtained, and the foreground object selected by the user through the touch screen may be used as the in-focus object. The in-focus objects may also be determined from the foreground objects based on the position information of each foreground object in the preview image, for example, the foreground object located in the central area of the preview image is taken as the in-focus object.

The depth of field information of the processing target can be obtained through the dual cameras on the mobile terminal. After the in-focus target is determined, the dual cameras on the mobile terminal can also obtain the depth of field information of the in-focus target.

After the in-focus target and the depth information of each processing target are determined, the background image corresponding to each processing target may be blurred based on the in-focus target and the depth of field information of each processing target.

Step S202, according to the depth information of the in-focus object and the depth of field information of the processing object, determine the distance between the processing object and the in-focus object in the direction of the optical axis of the camera.

In the embodiment of the present application, the depth information of the in-focus target can be understood as the distance between the in-focus target and the camera of the mobile terminal, and the depth of field information of the processing target can also be understood as the distance between the processing target and the camera of the mobile terminal. For the direction of the optical axis of the camera, the distance between the processing target and the in-focus target may be determined by a difference between the depth of field information of the in-focus target and the depth of field information of the processing target. Therefore, the distance between the processing target and the in-focus target refers to the distance between the processing target and the in-focus target in the direction of the optical axis of the camera.

Step S203, according to the distance between the processing target and the in-focus target in the optical axis direction of the camera, determine the blurring level of the processing target.

Step S204, based on the blurring level of the processing target, perform blurring processing related to the blurring level on the background image corresponding to the processing target.

In this embodiment of the application, the in-focus target usually refers to the focused target, and the in-focus target in the preview screen is a relatively clear area, then other processing targets except the in-focus target may be related to the in-focus target The distance of the target in the direction of the optical axis results in lower sharpness of the shot. In order to highlight other processing targets with low definition, the blurring degree of the background image around the processing target with low definition can be strengthened. Therefore, the closer the distance between the processing target and the quasi-focus target is, the clearer the processing target itself is, the lower the blurring level corresponding to the processing target is, and the less obvious the degree of blurring is; the processing target The farther the distance from the in-focus target is, the more blurred the processing target itself is, the higher the blurring level corresponding to the processing target is, and the more obvious the degree of blurring is, so that the blurred processing target itself can be highlighted .

Of course, in practical applications, in order to obtain a variety of image effects, other methods of blurring processing can also be set, for example: the closer the distance between the processing target and the in-focus target, the clearer the processing target itself, then The higher the level of blurring corresponding to the processing target, the more obvious the degree of blurring; the farther the distance between the processing target and the quasi-focus target is, the more blurred the processing target itself is, the more blurred the processing target is. The lower the blur level, the less obvious the degree of blur, so that the in-focus target can be highlighted. Therefore, different blurring processing methods can be set according to actual applications.

It should be noted that the in-focus target may not be the processing target, but may be any target object in the preview image.

Fig. 3 is a schematic flow chart of another image processing method provided by the embodiment of the present application. As shown in the figure, this method is based on the embodiment shown in Fig. 1, and describes how to obtain the corresponding processing target in the preview screen. A background image can include the following steps:

Step S301 , segmenting the processing target in the preview image to obtain a contour line of the processing target.

In this embodiment of the present application, the background image around the processing target may be an image other than the processing target within a detection frame corresponding to the processing target. Since the detection frame is usually a rectangular detection frame, the shape formed by the blurred area and the processing target is a rectangular area. In order to obtain various blurring effects, the processing target may be segmented from the preview image to obtain a contour line of the processing target. After the contour line of the processing target is acquired, based on the contour line of the processing target, a blurred area corresponding to the processing target is obtained.

Step S302, based on the contour line of the processing object, determine the smallest circumscribed circle of the processing object.

Step S303, in a circular area with the center point of the smallest circumscribed circle as the center point and a preset distance as the radius, the area after removing the processing target is the blurred area, and the preset distance is greater than or equal to the radius of the smallest circumscribed circle.

Step S304, using the image corresponding to the blurred area as the background image corresponding to the processing target.

In the embodiment of the present application, after the contour line of the processing target is determined, the minimum circumscribed circle of the processing target may be determined based on the contour line of the processing target. shape inside. We can set a concentric circle with the minimum circumscribed circle, and the radius of this concentric circle is greater than or equal to the radius of the minimum circumscribed circle. The area inside the concentric circle except for the processing target is the blurred area, and the area formed by the blurred area and the processing target is a circular area.

As yet another embodiment of the present application, the acquiring the blurred area corresponding to the processing target based on the contour line of the processing target includes:

determining the center of gravity of the processing object based on the contour line of the processing object;

Taking the center of gravity of the processing target as a reference point, enlarging the contour line of the processing target by a preset multiple to obtain an enlarged target contour line, and removing the processing target from the area indicated by the enlarged target contour line The subsequent area is the blurred area.

In this embodiment of the present application, the blurred area can also be set as an area similar in shape to the foreground object, and the center of gravity of the processing object can be determined based on the contour line of the processing object first, and the center of gravity of the processing object can be determined based on the The center of gravity is the reference point, and the contour line of the processing target is enlarged by a preset multiple to obtain the enlarged target contour line, and the area after the processing target is removed from the area indicated by the enlarged target contour line is the The blurred area, such that the area formed by the blurred area and the processing target is the area of the shape of the processing target.

The blurred area is the background image corresponding to the processing target. In practical applications, there may also be other methods for obtaining the blurred area, which are not listed here.

It should be understood that the sequence numbers of the steps in the above embodiments do not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiment of the present application.

FIG. 4 is a schematic block diagram of a mobile terminal provided by an embodiment of the present application. For ease of description, only parts related to the embodiment of the present application are shown.

The mobile terminal 4 can be a software unit, a hardware unit, or a combination of software and hardware built in mobile terminals such as mobile phones, tablet computers, and notebooks, and can also be integrated into mobile terminals such as mobile phones, tablet computers, and notebooks as an independent pendant. middle.

Described mobile terminal 4 comprises:

The recognition result acquisition module 41 is configured to obtain a preview picture collected by the camera in the mobile terminal, and identify the preview picture to obtain a recognition result, the recognition result is used to indicate whether there is a foreground object in the preview picture, and a foreground label of said foreground object when said foreground object is present;

A judging module 42, configured to judge whether there is a preset tag combination in the foreground tag combination of the foreground object if there are at least two foreground objects in the preview image;

The blurring processing module 43 is configured to mark the foreground object corresponding to the preset tag combination as a processing target if there is a preset tag combination in the foreground tag combination of the foreground object, and obtain the A background image corresponding to each processing target is processed, and a blurring process is performed on the background image corresponding to each processing target.

Optionally, the blur processing module 43 includes:

An information acquiring unit 431, configured to acquire the in-focus target corresponding to the preview image and the depth of field information of the processing target;

The blur processing unit 432 is configured to perform blur processing on the background image corresponding to each processing target based on the in-focus target and the depth information of each processing target.

Optionally, the information acquiring unit 431 is also used for:

Determining a focal plane corresponding to the preview image based on the depth of field information distribution corresponding to the current preview image captured by the dual cameras of the mobile terminal, and determining an in-focus target based on the focal plane;

or,

Acquiring the foreground target selected by the user through the touch screen displaying the preview image, and using the foreground target selected by the user through the touch screen as the in-focus target;

or,

Based on the position information of each foreground object in the preview image, an in-focus object is determined from the foreground objects.

Optionally, the virtualization processing unit 432 includes:

A distance determining subunit 4321, configured to determine the distance between the processing target and the in-focus target in the direction of the optical axis of the camera according to the depth of field information of the in-focus target and the depth of field information of the processing target;

A blurring level determining subunit 4322, configured to determine the blurring level of the processing target according to the distance between the processing target and the in-focus target in the direction of the optical axis of the camera;

The blurring processing subunit 4323 is configured to perform blurring processing related to the blurring level on the background image corresponding to the processing target based on the blurring level of the processing target.

Optionally, the blur processing module 43 also includes:

A contour line acquisition unit 433, configured to segment the processing target in the preview image, and obtain the contour line of the processing target;

The background image obtaining unit 434 is configured to obtain a blurred area corresponding to the processing target based on the contour line of the processing target, and use the image corresponding to the blurred area as a background image corresponding to the processing target.

Optionally, the background image acquiring unit 434 includes:

A minimum circumscribed circle determining subunit 4341, configured to determine the minimum circumscribed circle of the processing target based on the contour line of the processing target;

The first blurring area acquisition subunit 4342 is configured to take the center of the smallest circumscribed circle as the center point and take the preset distance as the radius, and the area after removing the processing target is the blurring area, the preset distance is greater than or equal to the radius of the smallest circumscribed circle.

Optionally, the background image acquiring unit 434 includes:

A center of gravity determining subunit 4343, configured to determine the center of gravity of the processing target based on the contour line of the processing target;

The second blurred area determination subunit 4344 is configured to use the center of gravity of the processing object as a reference point to magnify the contour line of the processing object by a preset multiple to obtain an enlarged object contour line, from the enlarged object contour line In the area indicated by the outline of the object, the area after removing the processing target is the blurred area.

Those skilled in the art can clearly understand that for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used for illustration. In practical applications, the above-mentioned functions can be assigned to different functional units, Module completion means that the internal structure of the mobile terminal is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment may be integrated into one processing unit, or each unit may exist separately physically, or two or more units may be integrated into one unit, and the above-mentioned integrated units may adopt hardware It can also be implemented in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the present application. For the specific working process of the units and modules in the above device, reference may be made to the corresponding process in the foregoing method embodiments, and details are not repeated here.

Fig. 5 is a schematic block diagram of a mobile terminal provided by another embodiment of the present application. As shown in FIG. 5 , the mobile terminal 5 of this embodiment includes: one or more processors 50 , a memory 51 , and a computer program 52 stored in the memory 51 and operable on the processor 50 . When the processor 50 executes the computer program 52, it implements the steps in the above embodiments of the various image processing methods, such as steps S101 to S103 shown in FIG. 1 . Alternatively, when the processor 50 executes the computer program 52, functions of the various modules/units in the above mobile terminal embodiments, such as the functions of the modules 41 to 43 shown in FIG. 4 , are realized.

Exemplarily, the computer program 52 can be divided into one or more modules/units, and the one or more modules/units are stored in the memory 51 and executed by the processor 50 to complete this application. The one or more modules/units may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer program 52 in the mobile terminal 5 . For example, the computer program 52 can be divided into a recognition result acquisition module, a judgment module, and a virtualization processing module.

The identification result acquisition module is configured to acquire a preview image collected by a camera in the mobile terminal, and identify the preview image to obtain an identification result, the identification result is used to indicate whether there is a foreground object in the preview image, and a foreground label of said foreground object when said foreground object exists;

The judging module is configured to judge whether there is a preset tag combination in the foreground tag combination of the foreground object if there are at least two foreground objects in the preview image;

The blur processing module is configured to mark the foreground object corresponding to the preset tag combination as a processing target if there is a preset tag combination in the foreground tag combination of the foreground object, and obtain the preview image The background image corresponding to each processing target, and the background image corresponding to each processing target is blurred.

For other modules or units, reference may be made to the description in the embodiment shown in FIG. 4 , and details are not repeated here.

The mobile terminal includes but not limited to a processor 50 and a memory 51 . Those skilled in the art can understand that FIG. 5 is only an example of the mobile terminal 5, and does not constitute a limitation to the mobile terminal 5. It may include more or less components than those shown in the illustration, or combine certain components, or have different Components, for example, the mobile terminal may also include an input device, an output device, a network access device, a bus, and the like.

The processor 50 may be a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), Off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

The memory 51 may be an internal storage unit of the mobile terminal 5 , such as a hard disk or memory of the mobile terminal 5 . The memory 51 can also be an external storage device of the mobile terminal 5, such as a plug-in hard disk equipped on the mobile terminal 5, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory card (Flash Card), etc. Further, the memory 51 may also include both an internal storage unit of the mobile terminal 5 and an external storage device. The memory 51 is used to store the computer program and other programs and data required by the mobile terminal. The memory 51 can also be used to temporarily store data that has been output or will be output.

In the above-mentioned embodiments, the descriptions of each embodiment have their own emphases, and for parts that are not detailed or recorded in a certain embodiment, refer to the relevant descriptions of other embodiments.

Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

In the embodiments provided in this application, it should be understood that the disclosed mobile terminal and method can be implemented in other ways. For example, the mobile terminal embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components May be combined or may be integrated into another system, or some features may be omitted, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated module/unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments in the present application can also be completed by instructing related hardware through computer programs. The computer programs can be stored in a computer-readable storage medium, and the computer When the program is executed by the processor, the steps in the above-mentioned various method embodiments can be realized. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a removable hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM, Read-Only Memory) , random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable Excluding electrical carrier signals and telecommunication signals.

The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still implement the foregoing embodiments Modifications to the technical solutions described in the examples, or equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the application, and should be included in the Within the protection scope of this application.

Claims (10)

1. An image processing method, characterized in that being applied to a mobile terminal, the image processing method comprises: Obtaining a preview picture collected by the camera in the mobile terminal, and identifying the preview picture to obtain a recognition result, the recognition result is used to indicate whether there is a foreground object in the preview picture, and when the foreground object exists, the the foreground label of the foreground target; If there are at least two foreground objects in the preview image, it is judged whether there is a preset label combination in the combination of foreground labels of the foreground objects; If there is a preset tag combination in the foreground tag combination of the foreground object, then mark the foreground object corresponding to the preset tag combination as a processing target, and obtain a background image corresponding to each processing target in the preview picture , and blur the background image corresponding to each processing target. 2. The image processing method according to claim 1, wherein said blurring the background image corresponding to each processing target comprises: Obtaining the in-focus target corresponding to the preview image and the depth of field information of the processing target; Based on the in-focus target and the depth of field information of each processing target, a background image corresponding to each processing target is blurred. 3. The image processing method according to claim 2, wherein said acquiring the in-focus target corresponding to said preview image comprises: Determining a focal plane corresponding to the preview image based on the depth of field information distribution corresponding to the current preview image captured by the dual cameras of the mobile terminal, and determining an in-focus target based on the focal plane; or, Acquiring the foreground target selected by the user through the touch screen displaying the preview image, and using the foreground target selected by the user through the touch screen as the in-focus target; or, Based on the position information of each foreground object in the preview image, an in-focus object is determined from the foreground objects. 4. The image processing method according to claim 2, wherein, based on the depth-of-field information of the quasi-focus target and each processing target, performing blur processing on the background image corresponding to each processing target comprises: determining the distance between the processing target and the in-focus target in the optical axis direction of the camera according to the depth-of-field information of the in-focus target and the depth-of-field information of the processing target; determining the blurring level of the processing target according to the distance between the processing target and the quasi-focus target in the optical axis direction of the camera; Based on the blurring level of the processing target, perform blurring processing related to the blurring level on the background image corresponding to the processing target. 5. The image processing method according to any one of claims 1 to 4, wherein said acquiring a background image corresponding to each processing target in said preview image comprises: segmenting the processing target in the preview image to obtain a contour line of the processing target; Based on the contour line of the processing target, a blurred area corresponding to the processing target is acquired, and an image corresponding to the blurred area is used as a background image corresponding to the processing target. 6. The image processing method according to claim 5, wherein said obtaining the blurred area corresponding to the processing target based on the contour line of the processing target comprises: determining a minimum circumscribed circle of the processing target based on the contour line of the processing target; In a circular area with the center point of the smallest circumscribed circle as the center point and a preset distance as the radius, the area after removing the processing target is the blurred area, and the preset distance is greater than or equal to the The radius of the smallest circumscribed circle. 7. The image processing method according to claim 5, wherein said obtaining the blurred area corresponding to the processing target based on the contour line of the processing target comprises: determining the center of gravity of the processing object based on the contour line of the processing object; Taking the center of gravity of the processing target as a reference point, enlarging the contour line of the processing target by a preset multiple to obtain an enlarged target contour line, and removing the processing target from the area indicated by the enlarged target contour line The subsequent area is the blurred area. 8. A mobile terminal, characterized in that it comprises: A recognition result acquisition module, configured to obtain a preview picture captured by a camera in the mobile terminal, and to identify the preview picture to obtain a recognition result, the recognition result being used to indicate whether there is a foreground target in the preview picture, and whether there is The foreground object is a foreground label of the foreground object; A judging module, configured to judge whether there is a preset tag combination in the foreground tag combination of the foreground object if there are at least two foreground objects in the preview image; A blurring processing module, configured to mark the foreground object corresponding to the preset tag combination as a processing target if there is a preset tag combination in the foreground tag combination of the foreground object, and obtain each background images corresponding to each processing target, and blur the background image corresponding to each processing target. 9. A mobile terminal, comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, characterized in that, when the processor executes the computer program, the computer program according to claim The step of any one of 1 to 7. 10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, and when the computer program is executed by one or more processors, the computer program according to any one of claims 1 to 7 is implemented. steps of the method described above.