CN109639976B - Focus determination method and device - Google Patents

Focus determination method and device Download PDF

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CN109639976B
CN109639976B CN201811582186.0A CN201811582186A CN109639976B CN 109639976 B CN109639976 B CN 109639976B CN 201811582186 A CN201811582186 A CN 201811582186A CN 109639976 B CN109639976 B CN 109639976B
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CN109639976A (en
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孟浩
马丽芬
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Beijing Baidu Netcom Science and Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/67—Focus control based on electronic image sensor signals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/66—Analysis of geometric attributes of image moments or centre of gravity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image

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Abstract

The embodiment of the application discloses a focus determining method and device. One embodiment of the method comprises: acquiring a target image, and determining at least two areas in the target image; determining the color richness of each area, wherein the color richness is determined based on the number of colors contained in the area; the focus is determined from the region with the highest color richness. The embodiment of the application can provide a self-adaptive focusing scheme, and can automatically capture a colorful area according to the colorful characteristics of a shot object. After focusing, the definition of the colorful image area is high, thereby obtaining better image processing effect.

Description

Focus determination method and device
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to the technical field of internet, and particularly relates to a focus determining method and device.
Background
With the development of focus determination technology, it has become more and more common to perform processes such as retouching or decoration on images. In the prior art, various effects may be added to the face in the image to make the face in the image more vivid. The effect of the presentation is often relatively single at locations other than the face in the image.
Disclosure of Invention
The embodiment of the application provides a focus determining method and device.
In a first aspect, an embodiment of the present application provides a focus determining method, including: acquiring a target image, and determining at least one region in the target image; determining the color richness of each area, wherein the color richness is determined based on the number of colors contained in the area; the focus is determined from the region with the highest color richness.
In some embodiments, determining at least one region in the target image comprises: in the target image, determining a region; and moving the frame of one region by a preset step length according to a preset moving direction to obtain other regions in the target image.
In some embodiments, determining at least one region in the target image comprises: carrying out contour extraction on the target image; based on the extracted contour, at least one region in the target image is determined.
In some embodiments, determining the color richness of the respective regions comprises: determining the number of colors in the region with the most colors in each region; for each region, determining the variance of the areas of the colors in the region, and determining the number of the colors in the region as the target number of the colors; the color richness of the region is determined based on the inverse of the variance and the quotient of the target color number and the color number.
In some embodiments, determining the focus from the region with the highest color richness comprises: the geometric center of the region with the highest color richness is set as the focal point.
In a second aspect, an embodiment of the present application provides a focus determination apparatus, including: an acquisition unit configured to acquire a target image, determine at least one region in the target image; a first determination unit configured to determine color richness of each region, wherein the color richness is determined based on the number of colors contained in the region; a second determination unit configured to determine a focus from the region with the highest color richness.
In some embodiments, the obtaining unit is further configured to: in the target image, determining a region; and moving the frame of one region by a preset step length according to a preset moving direction to obtain other regions in the target image.
In some embodiments, the obtaining unit is further configured to: carrying out contour extraction on the target image; based on the extracted contour, at least one region in the target image is determined.
In some embodiments, the first determining unit is further configured to: determining the number of colors in the region with the most colors in each region; for each region, determining the variance of the areas of the colors in the region, and determining the number of the colors in the region as the target number of the colors; the color richness of the region is determined based on the inverse of the variance and the quotient of the target color number and the color number.
In some embodiments, the second determining unit is further configured to: the geometric center of the region with the highest color richness is set as the focal point.
In a third aspect, an embodiment of the present application provides an electronic device, including: one or more processors; a storage device to store one or more programs that, when executed by one or more processors, cause the one or more processors to implement a method as in any embodiment of the focus determination method.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium on which a computer program is stored, which when executed by a processor, implements a method as in any of the embodiments of the focus determination method.
According to the focus determining scheme provided by the embodiment of the application, firstly, a target image is obtained, and at least one area in the target image is determined. Then, the color richness of each region is determined, wherein the color richness is determined based on the number of colors contained in the region. Then, the focus is determined from the region with the highest color richness. The embodiment of the application can provide a self-adaptive focusing scheme, and can automatically capture a colorful area according to the colorful characteristics of a shot object. After focusing, the definition of the colorful image area is high, thereby obtaining better image processing effect.
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Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of a focus determination method according to the present application;
FIG. 3 is a schematic diagram of an application scenario of a focus determination method according to the present application;
FIG. 4 is a schematic block diagram of one embodiment of a focus determination apparatus according to the present application;
FIG. 5 is a schematic block diagram of a computer system suitable for use in implementing an electronic device according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the focus determination method or focus determination apparatus of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. Various communication client applications, such as a focus determination application, a video-class application, a live application, an instant messaging tool, a mailbox client, social platform software, and the like, may be installed on the terminal devices 101, 102, 103.
Here, the terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices having a display screen, including but not limited to smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., multiple pieces of software or software modules to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The server 105 may be a server providing various services, such as a background server providing support for the terminal devices 101, 102, 103. The background server may perform processing such as analysis on the received data such as the target image, and feed back a processing result (e.g., the determined focus) to the terminal device.
It should be noted that the focus determination method provided in the embodiment of the present application may be executed by the server 105 or the terminal devices 101, 102, and 103, and accordingly, the focus determination apparatus may be disposed in the server 105 or the terminal devices 101, 102, and 103.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a focus determination method according to the present application is shown. The focus determining method comprises the following steps:
step 201, acquiring a target image, and determining at least one region in the target image.
In this embodiment, an execution subject of the focus determination method (e.g., a server or a terminal device shown in fig. 1) may acquire a target image and determine at least one region in the target image. At least one region may include the entire target image or only a part of the target image. In practice, the at least one region in the target image may be determined in a number of ways. For example, the sides of the target image include a wide side and a high side, the number of the preset regions may be obtained, and then the high side of the target image may be equally divided into the preset number. In this way, it is possible to take the side obtained after the high side is equally divided as one side of the region and the width of the target image as the width of the other side of the region to obtain the same plurality of regions.
In some optional implementations of this embodiment, the determining at least one region in the target image may include:
in the target image, determining a region; and moving the frame of one region by a preset step length according to a preset moving direction to obtain other regions in the target image.
In these alternative implementations, the executing entity may first determine an area in the target image. Typically, this area is rectangular. One of the vertices of the region may coincide with one of the vertices of the target image. For example, the vertex in the upper left corner of the region coincides with the vertex in the upper left corner of the target image. Then, the execution body may move the frame of the region in a preset moving direction, and may obtain another region in the target image other than the one region. The distance of each movement is a preset step length (stride), and the border can define the boundary of one area every time the movement is performed. The preset moving direction may be any direction set in advance. For example, the preset moving direction may be a lateral movement, such as a lateral movement to the right, starting from the leftmost end. Or may be diagonally shifted. Here, there may be overlap between the obtained adjacent regions, and the proportion of the overlapping portion to each region of the target image may be the same and may be set in advance.
These implementations may flexibly determine the size of a region, and thus determine multiple regions in the target image.
In some optional implementations of this embodiment, the determining at least one region in the target image may include:
carrying out contour extraction on the target image; based on the extracted contour, at least one region in the target image is determined.
In these alternative implementations, the contours in the target image may be extracted to take the regions surrounded by the respective contours as the respective regions of the target image. In practice, only the region enclosed by the closed contour may be taken as at least one region in the target image. In the target image, there may be a margin outside at least one region. For example, the whitespace may be a sky appearing in the image.
These implementations may determine regions based on patterns in the target image, and the color distribution may be more uniform in one region.
Step 202, determining the color richness of each region, wherein the color richness is determined based on the number of colors contained in the region.
In this embodiment, the execution body may determine the color richness of each region. Color richness refers to the richness of colors within an image or within a certain area of an image. A greater numerical value of color richness for a region indicates a richer color within the region, i.e., comprising a plurality of different colors.
In practice, the execution subject described above may determine color richness in a variety of ways. For example, the number of color types included in the region may be directly used as the color richness value.
In some optional implementations of this embodiment, step 202 may include:
determining the number of colors in the region with the most colors in each region; for each region, determining the variance of the areas of the colors in the region, and determining the number of the colors in the region as the target number of the colors; the color richness of the region is determined based on the inverse of the variance and the quotient of the target color number and the color number.
In these alternative implementations, the execution body may determine the number of colors in each region, and determine the number of colors in the region with the largest color.
Also, the execution body may determine a variance s of areas of respective colors within each region2The formula is as follows:
Figure BDA0001918204970000061
wherein n is the number of regions, x is the color value equal to the ratio of the area of one of the colors in the region to the total area of the region, M is the color mean, M ═ x1+x2…+xn)/n。
The execution body may determine the number of colors in the region and determine a quotient of the number of colors in the region and the number of colors in the region having the largest number of colors. Thereafter, the execution subject may determine the color richness using the reciprocal of the variance and the quotient. In practice, color richness can be determined in a number of ways. For example, the color richness may be defined as the product of the reciprocal of the variance and the quotient described above. The sum of the reciprocal of the variance and the above quotient can also be taken as the color richness, and the color richness F can then be expressed as:
F＝1/s2+cn/max_cn，
wherein s is2For the above variance, cn is the number of colors in the region, and max _ cn represents the number of colors in the region with the most colors.
Here, the greater the number of colors in the region, and/or the more uniform the color distribution in the region, the greater the color richness of the region.
These implementations may more accurately determine the color richness of the various regions to facilitate more accurate determination of focus.
Step 203, determine the focus from the region with the highest color richness.
In this embodiment, the execution subject may determine the region with the highest color richness and determine the focus therefrom. For example, the execution subject may randomly select a point from the area as the focal point.
In some alternative implementations of this embodiment, the geometric center of the region with the highest color richness is set as the focal point.
In these alternative implementations, the execution subject may use the geometric center of the region with the highest color richness as the focus, so that the user can better see the whole region with the highest color richness, thereby avoiding the problem that the part of the region farther away from the focus has abundant colors but poor definition.
With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the focus determination method according to the present embodiment. In the application scenario of fig. 3, the executing subject 301 may acquire a target image 302, determine at least one region 303 in the target image 302; determining color richness 304 of each region, wherein the color richness is determined based on the number of colors contained in the region; the focus 305 is determined from the region with the highest color richness.
The above embodiments of the present application may provide an adaptive focusing scheme capable of automatically capturing a colorful area according to the characteristics of the color of the photographed object. After focusing, the definition of the colorful image area is high, thereby obtaining better image processing effect.
With further reference to fig. 4, as an implementation of the methods shown in the above-mentioned figures, the present application provides an embodiment of a focus determination apparatus, which corresponds to the embodiment of the method shown in fig. 2, and which is particularly applicable to various electronic devices.
As shown in fig. 4, the focus determination apparatus 400 of the present embodiment includes: an acquisition unit 401, a first determination unit 402 and a second determination unit 403. The acquiring unit 401 is configured to acquire a target image, and determine at least one region in the target image; a first determining unit 402 configured to determine color richness of each region, wherein the color richness is determined based on the number of colors contained in the region; a second determination unit 403 configured to determine a focus from the region with the highest color richness.
In some embodiments, the acquisition unit 401 of the focus determination apparatus 400 may acquire a target image and determine at least one region in the target image. At least one region may include the entire target image or only a part of the target image. In practice, the at least one region in the target image may be determined in a number of ways.
In some embodiments, the first determination unit 402 may determine the color richness of each region. Color richness refers to the richness of colors within an image or within a certain area of an image. A greater numerical value of color richness for a region indicates a richer color within the region, i.e., comprising a plurality of different colors.
In some embodiments, the second determination unit 403 may determine the region with the highest color richness and determine the focus therefrom. For example, the execution subject may randomly select a point from the area as the focal point.
In some optional implementations of this embodiment, the obtaining unit is further configured to: in the target image, determining a region; and moving the frame of one region by a preset step length according to a preset moving direction to obtain other regions in the target image.
In some optional implementations of this embodiment, the obtaining unit is further configured to: carrying out contour extraction on the target image; based on the extracted contour, at least one region in the target image is determined.
In some optional implementations of this embodiment, the first determining unit is further configured to: determining the number of colors in the region with the most colors in each region; for each region, determining the variance of the areas of the colors in the region, and determining the number of the colors in the region as the target number of the colors; the color richness of the region is determined based on the inverse of the variance and the quotient of the target color number and the color number.
In some optional implementations of this embodiment, the second determining unit is further configured to: the geometric center of the region with the highest color richness is set as the focal point.
Referring now to FIG. 5, shown is a block diagram of a computer system 500 suitable for use in implementing the electronic device of an embodiment of the present application. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 5, the computer system 500 includes a central processing unit (CPU and/or GPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The central processing unit 501, the ROM 502, and the RAM 503 are connected to each other by a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output section 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-mentioned functions defined in the method of the present application when executed by the central processing unit 501. It should be noted that the computer readable medium of the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a first determination unit, and a second determination unit. The names of these units do not in some cases constitute a limitation on the unit itself, and for example, the acquisition unit may also be described as a "unit that acquires a target image".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: acquiring a target image, and determining at least two areas in the target image; determining the color richness of each area, wherein the color richness is determined based on the number of colors contained in the area; the focus is determined from the region with the highest color richness.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims (12)

1. A focus determination method, comprising:
acquiring a target image, and determining at least one region in the target image;
determining the color richness of each area, wherein the color richness is determined based on the number of colors contained in the area;
the focus is determined from the region with the highest color richness.
2. The method of claim 1, wherein the determining at least one region in the target image comprises:
determining a region in the target image;
and moving the frame of the region by a preset step length according to a preset moving direction to obtain other regions in the target image.
3. The method of claim 1, wherein the determining at least one region in the target image comprises:
carrying out contour extraction on the target image;
based on the extracted contour, at least one region in the target image is determined.
4. The method of claim 1, wherein the determining color richness of the respective regions comprises:
determining the number of colors in the region with the most colors in each region;
for each region, determining the variance of the areas of the colors in the region, and determining the number of the colors in the region as the target number of the colors; determining the color richness of the region based on the inverse of the variance and the quotient of the target color number and the color number.
5. The method of claim 1, wherein said determining focus from the region of highest color richness comprises:
the geometric center of the region with the highest color richness is set as the focal point.
6. A focus determination apparatus comprising:
an acquisition unit configured to acquire a target image, determine at least one region in the target image;
a first determination unit configured to determine color richness of each region, wherein the color richness is determined based on the number of colors contained in the region;
a second determination unit configured to determine a focus from the region with the highest color richness.
7. The apparatus of claim 6, wherein the obtaining unit is further configured to:
determining a region in the target image;
and moving the frame of the region by a preset step length according to a preset moving direction to obtain other regions in the target image.
8. The apparatus of claim 6, wherein the obtaining unit is further configured to:
carrying out contour extraction on the target image;
based on the extracted contour, at least one region in the target image is determined.
9. The apparatus of claim 6, wherein the first determining unit is further configured to:
determining the number of colors in the region with the most colors in each region;
for each region, determining the variance of the areas of the colors in the region, and determining the number of the colors in the region as the target number of the colors; determining the color richness of the region based on the inverse of the variance and the quotient of the target color number and the color number.
10. The apparatus of claim 6, wherein the second determining unit is further configured to:
the geometric center of the region with the highest color richness is set as the focal point.
11. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
12. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1-5.
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