CN112700381A - Image processing method, terminal and computer readable storage medium - Google Patents
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Abstract
The embodiment of the invention provides an image processing method, a terminal and a computer readable storage medium, wherein the image processing method comprises the following steps: identifying an image to be processed, and identifying an object contained in the image to be processed; determining a main body target from objects contained in the image to be processed; analyzing the main target to determine a target image adjustment strategy, and adjusting the image to be processed according to the target image adjustment strategy. The method comprises the steps of identifying an image to be processed through an image identification technology, determining a main body target from an identified object, determining the state of the main body target according to the analysis result of the main body target so as to determine a corresponding target image adjustment strategy, adjusting the image to be processed according to the target image adjustment strategy to realize active identification of the image, determining the main body target from the image, and automatically adjusting the image according to the main body target.
Description
Technical Field
The present invention relates to the field of image display technologies, and in particular, to an image processing method, a terminal, and a computer-readable storage medium.
Background
With the development of artificial intelligence technology, image detection and identification technology based on artificial intelligence technology is becoming more and more popular and mature, which can detect objects in images, identify the types of objects (such as people, cats, flowers, computers … …), locate their positions in images, and so on, and further analyze the species identified in images based on the above information.
In daily life, when people take pictures on a mobile phone or view other pictures, the following two situations often occur: 1. when the user takes a picture at a certain special angle, the shot picture conflicts with the state of the mobile phone, for example, the user turns the mobile phone upside down to take a picture at a lower angle, and the picture is always in the upside down state when the user views the picture, so that the user can only manually adjust the picture; 2. when people take photos in motion, the shooting objects can not be guaranteed to be always kept in the middle of the images, and in this case, the user can only manually adjust the photos. In view of the above situation, the present invention provides an image processing method for automatically implementing an image adjustment function.
Disclosure of Invention
The technical problem to be solved by the present invention is that when a user views a picture, the user can only manually adjust the angle and the position of a shot object in the picture when the angle and the position of the shot object are not correct, and for the technical problem, an image processing method, a terminal and a computer-readable storage medium are provided.
In order to solve the above technical problem, the present invention provides an image processing method, including:
identifying an image to be processed, and identifying an object contained in the image to be processed;
determining a main body target from objects contained in the image to be processed;
analyzing the main target to determine a target image adjustment strategy, and adjusting the image to be processed according to the target image adjustment strategy.
Optionally, determining a main target from the object included in the image to be processed includes:
determining a subject target from the object contained in the image to be processed according to a preset subject identification strategy;
and/or determining a main body target from the objects contained in the image to be processed according to the click result of the user.
Optionally, the determining a subject target from the object included in the image to be processed according to a preset subject identification policy includes:
recognizing the shooting mode of the image to be processed, and selecting a matched object as a main object according to the shooting mode;
and/or according to the proportion of the object in the image to be processed, taking the object with the highest ratio as a main target.
Optionally, analyzing the main target to determine a target image adjustment policy, and adjusting the image to be processed according to the target image adjustment policy includes:
analyzing a target angle of the main target, and when the target angle is different from the current preview angle, adjusting the display angle of the image to be processed according to the target angle, so that the display angle of the main target is the same as the preview angle.
Optionally, the analyzing the target angle at which the subject target is located includes:
determining the main body category of the main body target, determining a characteristic angle analysis strategy according to the main body category, and obtaining the target angle of the main body target according to the characteristic angle analysis strategy.
Optionally, the features referred to in the feature angle analysis policy include:
at least one of facial features, limb features, shape features, and color features.
Optionally, analyzing the main target to determine a target image adjustment policy, and adjusting the image to be processed according to the target image adjustment policy includes:
analyzing the position of the main body target in the image to be processed, intercepting the main body image of the area where the main body target is located when the main body target is located at the edge position of the image to be processed, and displaying the main body image independently.
Optionally, when the target angle of the main body target is different from the current preview angle and is located at the edge of the image to be processed, the display angle of the main body target is adjusted to the preview angle, and the main body image of the area where the main body target is located is intercepted and displayed separately.
Furthermore, the invention also provides a terminal, which comprises a display screen, a processor, a memory and a communication bus;
the display screen is used for displaying images;
the communication bus is used for realizing connection communication among the processor, the memory and the display;
the processor is configured to execute one or more programs stored in the memory to implement the steps of the image processing method as described in any one of the above.
Further, the present invention also provides a computer-readable storage medium storing one or more programs, which are executable by one or more processors to implement the steps of the image processing method of any one of the above.
Advantageous effects
The embodiment of the invention provides an image processing method, a terminal and a computer readable storage medium, wherein the image processing method comprises the following steps: identifying an image to be processed, and identifying an object contained in the image to be processed; determining a main body target from objects contained in the image to be processed; analyzing the main target to determine a target image adjustment strategy, and adjusting the image to be processed according to the target image adjustment strategy. The method comprises the steps of identifying an image to be processed through an image identification technology, determining a main body target from an identified object, determining the state of the main body target according to the analysis result of the main body target so as to determine a corresponding target image adjustment strategy, adjusting the image to be processed according to the target image adjustment strategy to realize active identification of the image, determining the main body target from the image, and automatically adjusting the image according to the main body target.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a schematic diagram of a hardware structure of an optional mobile terminal for implementing various embodiments of the present invention.
FIG. 2 is a basic flowchart of an image processing method according to a first embodiment of the present invention;
fig. 3 is a schematic structural diagram of a terminal according to a second embodiment of the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.
The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile terminal in detail with reference to fig. 1:
the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).
WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.
Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.
The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 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 volatile solid state storage device.
The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.
Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.
Based on the hardware structure of the mobile terminal, the invention provides various embodiments of the method.
First embodiment
Fig. 2 is a basic flowchart of an image processing method provided in this embodiment, where the image processing method includes:
s201, identifying the image to be processed, and identifying the object contained in the image to be processed.
The images to be processed in the present embodiment include all images displayable on the terminal, including but not limited to images taken by the terminal itself, images downloaded from a social platform, and the like.
After the image to be processed is determined, an image recognition algorithm is run to recognize the image to be processed, and an object included in the image to be processed is recognized.
S202, determining a main body target from the objects contained in the image to be processed.
The agent processing image is calculated through an image recognition algorithm, various objects contained in the image to be processed, such as people, faces, dogs, cats, the sun, clouds, flowers, grass and the like, can be determined, and then a main object is determined from the objects through a certain method, wherein the main object is generally an object which is considered by a user to be reflected in a key mode. It is understood that the number of subject targets in this embodiment may be one object, or may be a plurality of objects, for example, in a photographed photo of a person, one of the persons may be designated as a subject target, or a plurality of the persons may be designated as a subject target.
S203, analyzing the main target to determine a target image adjustment strategy, and adjusting the image to be processed according to the target image adjustment strategy.
After the main body target is determined, the main body target can be analyzed, the analysis result includes but is not limited to information such as the position of the main body target, the area size occupied by the main body target, the state of the main body target, the angle of the main body target and the like, a corresponding target image adjustment strategy can be determined through the analysis of the main body target, and the image to be processed is pertinently adjusted through the target image adjustment strategy.
In some other embodiments, determining the subject target from the objects included in the image to be processed includes: determining a subject target from the object contained in the image to be processed according to a preset subject identification strategy; and/or determining a main body target from the objects contained in the image to be processed according to the click result of the user.
When the subject target is determined, the user specifies the most common mode for selecting the subject target, for example, the recognition result of the image to be processed is marked on the corresponding object in the image to be processed, the user selects the subject target by means of touch clicking, or the recognition object is displayed in a list mode, and the user only needs to select the target in the list; meanwhile, a main body target can be determined from an object contained in the image to be processed through a preset main body identification strategy, wherein the preset main body identification strategy can be a selection algorithm built in a system, and can also be a selection algorithm set by a user according to the user selection preference; in some cases, the two may also be combined to determine the subject target, for example, the subject target is determined by a preset subject recognition strategy, and when the user determines that the subject target at the time is not the subject target desired by the user, the subject target is established by a manual selection method.
In some other embodiments, the determining, according to a preset subject identification policy, a subject target from an object included in the image to be processed includes: recognizing the shooting mode of the image to be processed, and selecting a matched object as a main object according to the shooting mode; and/or according to the proportion of the object in the image to be processed, taking the object with the highest ratio as a main target.
With the development of the AI technology, more and more mobile phone brands add an AI scene recognition function in the product photographing function, the photographed scene is recognized through the AI, and then the photographed image is optimized in a targeted manner according to the recognition result, so that a picture with better effect is obtained.
Therefore, the subject target is determined from the objects contained in the image to be processed according to the preset subject identification strategy, and the subject target can be determined more accurately according to the shooting mode, for example, the portrait mode generally takes a person as the subject target, the delicatessen mode generally takes food as the subject target, and the pet mode generally takes a pet as the subject target.
In some cases, for example, when the shooting mode is not recognized, or when a plurality of types of objects matched in the recognized shooting mode exist, the object with the highest proportion can be used as the main subject object according to the proportion of the object to the image to be processed, for example, when the pet mode is recognized, a plurality of pets are recognized in the image to be processed, and then the pet with the highest proportion can be used as the main subject object; when the image area of a person in the image to be processed is recognized to be far larger than that of the person behind (in the case of taking a photo), the person with the largest person area is taken as a subject target. In this embodiment, by recognizing the shooting mode of the to-be-processed image, selecting a matched object as a subject target according to the shooting mode, and using an object with the highest ratio as the subject target according to the ratio of the object to the to-be-processed image, only one of the two subject recognition strategies may be used in application, or the two recognition strategies may be used in combination.
In some other embodiments, analyzing the subject target to determine a target image adjustment policy, and adjusting the image to be processed according to the target image adjustment policy includes: analyzing a target angle of the main target, and when the target angle is different from the current preview angle, adjusting the display angle of the image to be processed according to the target angle, so that the display angle of the main target is the same as the preview angle.
The situation is often met on a social platform, the photos shot transversely by the mobile phone are required to be vertically arranged when being uploaded to the platform, so that the photos shot transversely are easily changed into vertical arrangement when being uploaded, the angle between the photos shot in the opening platform and the actually shot photos is right vertical, a user can only cross the mobile phone to check the photos to see the images with correct angles, and aiming at the problem that the angle of a main image target in the images is different from the preview angle, the angle difference between the main image target and the preview angle of the terminal is determined by analyzing the target angle of the main object and the current preview angle of the terminal, and then the image to be processed is adjusted according to the angle difference. For example, in a portrait photo shot horizontally, a person in the photo is determined as a main object, when the photo is clicked by holding the mobile phone vertically, the display angle of the photo is displayed horizontally, the target angle of the person in the photo is analyzed, the current mobile phone is determined to be in a vertical preview state, an angle difference of 90 degrees is formed between the target angle and the preview angle, and the display angle of the photo is adjusted to be 90 degrees until the angle is the same as the preview angle.
In some further embodiments, said analyzing a target angle at which said subject target is located comprises: determining the main body category of the main body target, determining a characteristic angle analysis strategy according to the main body category, and obtaining the target angle of the main body target according to the characteristic angle analysis strategy.
In some other embodiments, the features referenced in the feature angle analysis strategy include: at least one of facial features, limb features, shape features, and color features.
After the subject target is determined, the target angle of the subject target needs to be confirmed, and the target angle of the subject target can be analyzed by some features on the subject target, for example, the accurate angle of the person can be determined by the five sense organs of the face of the person, i.e., the target angle is determined by the eyes, nose, mouth and ears when the five sense organs of the person are not clear; the accurate angle of the person can be determined through the limb characteristics of the person, namely the target angle is determined through limbs and body parts; the target angle of the tree can be determined through the shape characteristics of the tree; the target angle of the branch is determined by determining which are the young leaves and the old leaves according to the color of the leaves.
In some other embodiments, analyzing the subject target to determine a target image adjustment policy, and adjusting the image to be processed according to the target image adjustment policy includes: analyzing the position of the main body target in the image to be processed, intercepting the main body image of the area where the main body target is located when the main body target is located at the edge position of the image to be processed, and displaying the main body image independently.
In this embodiment, the method for analyzing the main target to determine a target image adjustment policy and adjusting the image to be processed according to the target image adjustment policy further includes: analyzing the position of the main body target in the image to be processed, intercepting the main body image of the area where the main body target is located when the main body target is located at the edge position of the image to be processed, and displaying the main body image independently; whether the main body target is the center of the image is determined by judging the position of the main body target, and the area where the main body target is located is intercepted and displayed independently when the main body target is not located in the center of the image. For example, the shooting level of some users is relatively general, when people shoot the images, the positions of the people are easy to shoot the edges of the images, at this time, the people are taken as main targets, the images of the areas where the people are located are intercepted and are independently displayed, and the users can obtain a picture with relatively good effect by storing the pictures; when the user shoots the pet in the motion, the pet is difficult to be matched with the shooting person for shooting, and the pet can be taken as a main object at the moment, and the image of the area where the pet is located is intercepted and displayed, so that the aim of improving the shooting effect is fulfilled.
In some other embodiments, when the target angle of the main target is different from the current preview angle and is located at the edge of the image to be processed, the display angle of the main target is adjusted to the preview angle, and the main image of the area where the main target is located is intercepted and displayed separately.
In some cases, when it is recognized that the target angle of the main body target in the image to be processed is different from the preview angle, and the position of the main body target is still located at the edge of the image to be processed, angle adjustment of the image to be processed and main body target interception are required to be performed to perform display adjustment twice so as to improve the display effect of the main body target. It should be noted that, the order of the two adjustments, that is, the angle adjustment of the image to be processed and the display of the subject target interception is performed, is not limited in the present invention, and in practical applications, the optimal adjustment order may be selected for adjustment according to the actual situation of the subject target.
The embodiment of the invention provides an image processing method, which comprises the following steps: identifying an image to be processed, and identifying an object contained in the image to be processed; determining a main body target from objects contained in the image to be processed; analyzing the main target to determine a target image adjustment strategy, and adjusting the image to be processed according to the target image adjustment strategy. The method comprises the steps of identifying an image to be processed through an image identification technology, determining a main body target from an identified object, determining the state of the main body target according to the analysis result of the main body target so as to determine a corresponding target image adjustment strategy, adjusting the image to be processed according to the target image adjustment strategy to realize active identification of the image, determining the main body target from the image, and automatically adjusting the image according to the main body target.
Third embodiment
The present embodiment also provides a terminal, as shown in fig. 3, which includes a processor 31, a memory 32, a communication bus 33 and a display 34, wherein:
the display screen 34 is used for displaying images;
the communication bus 33 is used for realizing connection communication among the processor 31, the memory 32 and the display screen 34;
the processor 31 is also configured to execute one or more programs stored in the memory 32 to perform the steps of an image processing method provided in the embodiments of the present invention.
Embodiments of the present invention also provide a computer-readable storage medium in which one or more programs are stored, the one or more programs being executable by one or more processors to perform the steps of an image processing method provided in an embodiment of the present invention.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. An image processing method, characterized in that the image processing method comprises:
identifying an image to be processed, and identifying an object contained in the image to be processed;
determining a main body target from objects contained in the image to be processed;
analyzing the main target to determine a target image adjustment strategy, and adjusting the image to be processed according to the target image adjustment strategy.
2. The image processing method of claim 1, wherein determining a subject target from objects contained in the image to be processed comprises:
determining a subject target from the object contained in the image to be processed according to a preset subject identification strategy;
and/or determining a main body target from the objects contained in the image to be processed according to the click result of the user.
3. The image processing method of claim 2, wherein the determining the subject target from the objects contained in the image to be processed according to a preset subject recognition strategy comprises:
recognizing the shooting mode of the image to be processed, and selecting a matched object as a main object according to the shooting mode;
and/or according to the proportion of the object in the image to be processed, taking the object with the highest ratio as a main target.
4. The image processing method of claim 2, wherein analyzing the subject target to determine a target image adjustment policy, and adjusting the image to be processed according to the target image adjustment policy comprises:
analyzing a target angle of the main target, and when the target angle is different from the current preview angle, adjusting the display angle of the image to be processed according to the target angle, so that the display angle of the main target is the same as the preview angle.
5. The image processing method of claim 4, wherein the analyzing the target angle at which the subject target is located comprises:
determining the main body category of the main body target, determining a characteristic angle analysis strategy according to the main body category, and obtaining the target angle of the main body target according to the characteristic angle analysis strategy.
6. The image processing method of claim 5, wherein the features referenced in the feature angle analysis strategy include:
at least one of facial features, limb features, shape features, and color features.
7. The image processing method of claim 2, wherein analyzing the subject target to determine a target image adjustment policy, and adjusting the image to be processed according to the target image adjustment policy comprises:
analyzing the position of the main body target in the image to be processed, intercepting the main body image of the area where the main body target is located when the main body target is located at the edge position of the image to be processed, and displaying the main body image independently.
8. The image processing method according to any one of claims 2 to 7, wherein when a target angle of the subject target is different from a current preview angle and is located at an edge position of the image to be processed, a display angle of the subject target is adjusted to the preview angle, and a subject image of an area where the subject target is located is cut out and displayed separately.
9. A terminal, characterized in that the terminal comprises a display screen, a processor, a memory and a communication bus;
the display screen is used for displaying images;
the communication bus is used for realizing connection communication among the processor, the memory and the display;
the processor is configured to execute one or more programs stored in the memory to implement the steps of the image processing method according to any one of claims 1 to 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores one or more programs which are executable by one or more processors to implement the steps of the image processing method according to any one of claims 1 to 8.
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