CN108230312A - A kind of image analysis method, equipment and computer readable storage medium - Google Patents
A kind of image analysis method, equipment and computer readable storage medium Download PDFInfo
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- CN108230312A CN108230312A CN201810005265.9A CN201810005265A CN108230312A CN 108230312 A CN108230312 A CN 108230312A CN 201810005265 A CN201810005265 A CN 201810005265A CN 108230312 A CN108230312 A CN 108230312A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
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- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
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Abstract
The embodiment of the invention discloses a kind of image analysis method, the method includes：Obtain the first image and the second image；First image is collected for target object using the image acquisition device of first terminal, and the second image is collected for target object using the image acquisition device of second terminal, and the acquisition angles of the first image and the second image are identical；First image is carried out to handle determining first area, and the second image is carried out to handle determining second area；Calculate the first object parameter of first area and the second target component of second area；First object parameter is used to indicate the clarity of the image of first area, and the second target component is used to indicate the clarity of the image of second area；The first image is analyzed and processed based on first object parameter and the second target component.The embodiment of the present invention also discloses a kind of image analysis equipment and computer readable storage medium simultaneously, solves the problems, such as there is test inaccuracy in existing test method.
Description
Technical field
The present invention relates to the image processing techniques in computer realm more particularly to a kind of image analysis method, equipment and
Computer readable storage medium.
Background technology
With the development of science and technology, the function of intelligent terminal is stronger and stronger；Also, with carrying for living standards of the people
Height, the use of intelligent terminal are more and more universal.For a user, the camera function of intelligent terminal such as smart mobile phone is most often
.
Producer, generally all can be to the matter of the camera in mobile phone before manufacture after the camera in producing mobile phone
Amount is detected；Current most common method is taken a picture using the camera in testing mobile phone, and by the photo and in advance
The first selected photo of same angle for being shot in the comparison mobile phone that is compared is compared, and then determining testing mobile phone
In camera take come photo quality；But compared in a manner that artificial naked eyes compare in existing method
, there can be the problem of test is inaccurate, and compare labor intensive, cause the significant wastage of human resources.
Invention content
In view of this, an embodiment of the present invention is intended to provide a kind of image analysis method, equipment and computer-readable storage mediums
Matter solves the problems, such as there is test inaccuracy in the test method of existing test machine camera, improves taking the photograph for test machine
As the accuracy of the test effect of head, the waste of human resources is avoided；Also, enhance the intelligence degree of machine.
In order to achieve the above objectives, the technical proposal of the invention is realized in this way：
A kind of image analysis method, the method includes：
Obtain the first image and the second image；Wherein, described first image is the image acquisition device needle using first terminal
Collected to target object, second image is to be acquired using the image acquisition device of second terminal for the target object
It arrives, described first image is identical with the acquisition angles of second image；
Described first image is carried out to handle determining first area, and processing is carried out to second image and determines the secondth area
Domain；
Calculate the first object parameter of the first area and the second target component of the second area；Wherein, it is described
First object parameter is used to indicate the clarity of the image of the first area, and second target component is used to indicate described
The clarity of the image in two regions；
Described first image is analyzed and processed based on the first object parameter and second target component.
Optionally, it is described to described first image handle determining first area, and to second image at
Reason determines second area, including：
Described first image is handled using preset algorithm, the first area is determined from described first image；
Second image is handled using the preset algorithm, secondth area is determined from second image
Domain.
Optionally, it is described that described first image is handled using preset algorithm, institute is determined from described first image
First area is stated, including：
Edge analysis is carried out to described first image using preset algorithm, obtains the target pair in described first image
The first position of the profile of elephant；
Based on the first position information, the first area is determined from described first image.
Optionally, it is described based on the first position information, the first area, packet are determined from described first image
It includes：
According to default determining method, first edge region and the first central area are determined from described first image；
Determine whether include any area where the first position in the first edge region and the first central area
Domain；
If the first edge region and the first central area include any region where the first position, determine
The first edge region and first central area are the first area.
Optionally, it is described that second image is handled using the preset algorithm, from second image really
The fixed second area, including：
Edge analysis is carried out to second image using preset algorithm, obtains the target pair in second image
The second position of the profile of elephant；
Based on the second position information, the second area is determined from second image.
Optionally, it is described based on the second position information, the second area, packet are determined from second image
It includes：
According to default determining method, second edge region and the second central area are determined from second image；
Determine whether include any area where the second position in the second edge region and the second central area
Domain；
If the second edge region and the second central area include any region where the second position, determine
The second edge region and second central area are the second area.
Optionally, it is described that described first image is divided based on the first object parameter and second target component
Analysis is handled, including：
Obtain the magnitude relationship between the first object parameter and second target component；
If the first object parameter is less than second target component, determine that the clarity of described first image is not met
Preset requirement.
Optionally, it is described that first image of target object is directed to, and use using the image acquisition device acquisition of first terminal
Before the image acquisition device acquisition of second terminal is for the second image of the target object, further include：
When obtaining acquisition described first image and second image, the position of the motor in described image collector；
Based on the position of the motor, when determining described image collector acquisition described first image and second image
Whether focusing is accurate.
A kind of image analysis equipment, the equipment include：Processor, memory and communication bus；
The communication bus is used to implement the communication connection between the processor and the memory；
The processor is used to perform the image analysis program stored in the memory, to realize following steps：
Obtain the first image and the second image；Wherein, described first image is the image acquisition device needle using first terminal
Collected to target object, second image is to be acquired using the image acquisition device of second terminal for the target object
It arrives, described first image is identical with the acquisition angles of second image；
Described first image is carried out to handle determining first area, and processing is carried out to second image and determines the secondth area
Domain；
Calculate the first object parameter of the first area and the second target component of the second area；Wherein, it is described
First object parameter is used to indicate the clarity of the image of the first area, and second target component is used to indicate described
The clarity of the image in two regions；
Described first image is analyzed and processed based on the first object parameter and second target component.
A kind of computer readable storage medium, there are one the computer-readable recording medium storages or multiple programs,
One or more of programs can be performed by one or more processor, to realize image analysis method as described above
Step.
Image analysis method, equipment and the computer readable storage medium that the embodiment of the present invention is provided obtain first
Image and the second image, the first image are to use the image acquisition device of first terminal collected for target object, the second figure
Seem to use the image acquisition device of second terminal collected for target object, the acquisition angles of the first image and the second image
It is identical, later the first image is carried out handling determining first area and the second image is carried out to handle determining second area, calculated
The first object parameter of first area and the second target component of second area, first object parameter are used to indicate first area
The clarity of image, the second target component are used to indicate the clarity of the image of second area, are finally based on first object parameter
The first image is analyzed and processed with the second target component, in this way, image analysis equipment can be automatically by collected two
Image is compared, and does not need to compare using manpower, is solved to exist in the test method of existing test machine camera and be surveyed
The problem of examination is inaccurate, improves the accuracy of the test effect of the camera of test machine, avoids the waste of human resources；And
And enhance the intelligence degree of machine.
Description of the drawings
The hardware architecture diagram of Fig. 1 optional mobile terminal of each embodiment to realize the present invention；
Fig. 2 is the communication system architecture schematic diagram that mobile terminal provided in an embodiment of the present invention can operate；
Fig. 3 is a kind of flow diagram of image analysis method provided in an embodiment of the present invention；
Fig. 4 is the flow diagram of another image analysis method provided in an embodiment of the present invention；
Fig. 5 is the schematic diagram of a kind of first image provided in an embodiment of the present invention and the second image；
Fig. 6 is the schematic diagram that a kind of money provided in an embodiment of the present invention selects image-region；
Fig. 7 is the schematic diagram for the first area selected in a kind of first image provided in an embodiment of the present invention；
Fig. 8 is the flow diagram of another image analysis method provided in an embodiment of the present invention；
Fig. 9 is the structure diagram of a kind of image analysis equipment that the embodiment of the present invention provides.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes.
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
In subsequent description, using for representing that the suffix of such as " module ", " component " or " unit " of element is only
Be conducive to the explanation of the present invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
Terminal can be implemented in a variety of manners.For example, terminal described in the present invention can include such as mobile phone, tablet
Computer, laptop, palm PC, personal digital assistant (Personal Digital Assistant, PDA), portable
The shiftings such as media player (Portable Media Player, PMP), navigation device, wearable device, Intelligent bracelet, pedometer
The dynamic fixed terminals such as terminal and number TV, desktop computer.
It will be illustrated by taking mobile terminal as an example in subsequent descriptions, it will be appreciated by those skilled in the art that in addition to special
For moving except the element of purpose, construction according to the embodiment of the present invention can also apply to the terminal of fixed type.
Referring to Fig. 1, a kind of hardware architecture diagram of its mobile terminal of each embodiment to realize the present invention, the shifting
Dynamic terminal 100 can include：Radio frequency (Radio Frequency, RF) unit 101, Wi-Fi module 102, audio output unit
103rd, A/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit
108th, the components such as memory 109, processor 110 and power supply 111.It will be understood by those skilled in the art that shown in Fig. 1
Mobile terminal structure does not form the restriction to mobile terminal, and mobile terminal can be included than illustrating more or fewer components,
Either combine certain components or different components arrangement.
The all parts of mobile terminal are specifically introduced with reference to Fig. 1：
Radio frequency unit 101 can be used for receive and send messages or communication process in, signal sends and receivees, specifically, by base station
Downlink information receive after, handled to processor 110；In addition, the data of uplink are sent to base station.In general, radio frequency unit 101
Including but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier, duplexer etc..In addition, it penetrates
Frequency unit 101 can also communicate with network and other equipment by radio communication.Above-mentioned wireless communication can use any communication
Standard or agreement, including but not limited to global system for mobile communications (Global System of Mobile
Communication, GSM), general packet radio service (General Packet Radio Service, GPRS), code it is point more
Location 2000 (Code Division Multiple Access 2000, CDMA2000), wideband code division multiple access (Wideband
Code Division Multiple Access, WCDMA), TD SDMA (Time Division-
Synchronous Code Division Multiple Access, TD-SCDMA), frequency division duplex long term evolution
(Frequency Division Duplexing-Long Term Evolution, FDD-LTE) and time division duplex long term evolution
(Time Division Duplexing-Long Term Evolution, TDD-LTE) etc..
Wi-Fi belongs to short range wireless transmission technology, and mobile terminal can help user to receive and dispatch by Wi-Fi module 102
Email, browsing webpage and access streaming video etc., it has provided wireless broadband internet to the user and has accessed.Although Fig. 1
Show Wi-Fi module 102, but it is understood that, and must be configured into for mobile terminal is not belonging to, it completely can basis
It needs to omit in the range for the essence for not changing invention.
Audio output unit 103 can be in call signal reception pattern, call mode, record mould in mobile terminal 100
Formula, speech recognition mode, broadcast reception mode when under isotypes, it is that radio frequency unit 101 or Wi-Fi module 102 are received or
The audio data that person stores in memory 109 is converted into audio signal and exports as sound.Moreover, audio output unit
103 can also provide performed with mobile terminal 100 the relevant audio output of specific function (for example, call signal receive sound,
Message sink sound etc.).Audio output unit 103 can include loud speaker, buzzer etc..
A/V input units 104 are used to receive audio or video signal.A/V input units 104 can include graphics processor
(Graphics Processing Unit, GPU) 1041 and microphone 1042, graphics processor 1041 is in video acquisition mode
Or the static images or the image data of video obtained in image capture mode by image capture apparatus (such as camera) carry out
Reason.Treated, and picture frame may be displayed on display unit 106.Through graphics processor 1041, treated that picture frame can be deposited
Storage is sent in memory 109 (or other storage mediums) or via radio frequency unit 101 or Wi-Fi module 102.Mike
Wind 1042 can connect in telephone calling model, logging mode, speech recognition mode etc. operational mode via microphone 1042
Quiet down sound (audio data), and can be audio data by such acoustic processing.Audio that treated (voice) data can
To be converted to the form output that mobile communication base station can be sent to via radio frequency unit 101 in the case of telephone calling model.
Microphone 1042 can implement various types of noises elimination (or inhibition) algorithms and send and receive sound to eliminate (or inhibition)
The noise generated during frequency signal or interference.
Mobile terminal 100 further includes at least one sensor 105, such as optical sensor, motion sensor and other biographies
Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein, ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel 1061, and proximity sensor can close when mobile terminal 100 is moved in one's ear
Display panel 1061 and/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (general
For three axis) size of acceleration, size and the direction of gravity are can detect that when static, can be used to identify the application of mobile phone posture
(such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；
The fingerprint sensor that can also configure as mobile phone, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer,
The other sensors such as hygrometer, thermometer, infrared ray sensor, details are not described herein.
Display unit 106 is used to show by information input by user or be supplied to the information of user.Display unit 106 can wrap
Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode may be used
Display panel 1061 is configured in forms such as (Organic Light-Emitting Diode, OLED).
User input unit 107 can be used for receiving the number inputted or character information and generation and the use of mobile terminal
The key signals input that family is set and function control is related.Specifically, user input unit 107 may include touch panel 1071 with
And other input equipments 1072.Touch panel 1071, also referred to as touch screen collect user on it or neighbouring touch operation
(for example user uses any suitable objects such as finger, stylus or attachment on touch panel 1071 or in touch panel 1071
Neighbouring operation), and corresponding attachment device is driven according to preset formula.Touch panel 1071 may include touch detection
Two parts of device and touch controller.Wherein, the touch orientation of touch detecting apparatus detection user, and detect touch operation band
The signal come, transmits a signal to touch controller；Touch controller receives touch information from touch detecting apparatus, and by it
Contact coordinate is converted into, then gives processor 110, and the order that processor 110 is sent can be received and performed.It in addition, can
To realize touch panel 1071 using multiple types such as resistance-type, condenser type, infrared ray and surface acoustic waves.In addition to touch panel
1071, user input unit 107 can also include other input equipments 1072.Specifically, other input equipments 1072 can wrap
It includes but is not limited to physical keyboard, in function key (such as volume control button, switch key etc.), trace ball, mouse, operating lever etc.
It is one or more, do not limit herein specifically.
Further, touch panel 1071 can cover display panel 1061, when touch panel 1071 detect on it or
After neighbouring touch operation, processor 110 is sent to determine the type of touch event, is followed by subsequent processing device 110 according to touch thing
The type of part provides corresponding visual output on display panel 1061.Although in Fig. 1, touch panel 1071 and display panel
1061 be the component independent as two to realize the function that outputs and inputs of mobile terminal, but in certain embodiments, it can
The function that outputs and inputs of mobile terminal is realized so that touch panel 1071 and display panel 1061 is integrated, is not done herein specifically
It limits.
Interface unit 108 be used as at least one external device (ED) connect with mobile terminal 100 can by interface.For example,
External device (ED) can include wired or wireless head-band earphone port, external power supply (or battery charger) port, wired or nothing
Line data port, memory card port, the port for device of the connection with identification module, audio input/output (I/O) end
Mouth, video i/o port, ear port etc..Interface unit 108 can be used for receiving the input from external device (ED) (for example, number
It is believed that breath, electric power etc.) and the input received is transferred to one or more elements in mobile terminal 100 or can be with
For transmitting data between mobile terminal 100 and external device (ED).
Memory 109 can be used for storage software program and various data.Memory 109 can mainly include storing program area
And storage data field, wherein, storing program area can storage program area, application program (such as the sound needed at least one function
Sound playing function, image player function etc.) etc.；Storage data field can store according to mobile phone use created data (such as
Audio data, phone directory etc.) etc..In addition, memory 109 can include high-speed random access memory, can also include non-easy
The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 110 is the control centre of mobile terminal, utilizes each of various interfaces and the entire mobile terminal of connection
A part is stored in storage by running or performing the software program being stored in memory 109 and/or module and call
Data in device 109 perform the various functions of mobile terminal and processing data, so as to carry out integral monitoring to mobile terminal.Place
Reason device 110 may include one or more processing units；Preferably, processor 110 can integrate application processor and modulatedemodulate is mediated
Device is managed, wherein, the main processing operation system of application processor, user interface and application program etc., modem processor is main
Processing wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 110.
Mobile terminal 100 can also include the power supply 111 (such as battery) powered to all parts, it is preferred that power supply 111
Can be logically contiguous by power-supply management system and processor 110, so as to realize management charging by power-supply management system, put
The functions such as electricity and power managed.
Although Fig. 1 is not shown, mobile terminal 100 can also be including bluetooth module etc., and details are not described herein.
For the ease of understanding the embodiment of the present invention, below to the communications network system that is based on of mobile terminal of the present invention into
Row description.
Referring to Fig. 2, Fig. 2 is a kind of communications network system Organization Chart provided in an embodiment of the present invention, the communication network system
The LTE system united as universal mobile communications technology, the LTE system include communicating the user equipment (User of connection successively
Equipment, UE) 201, evolved UMTS Terrestrial radio access network (Evolved UMTS Terrestrial Radio
Access Network, E-UTRAN) 202, evolved packet-based core networks (Evolved Packet Core, EPC) 203 and operation
The IP operation 204 of quotient.
Specifically, UE201 can be above-mentioned terminal 100, and details are not described herein again.
E-UTRAN202 includes eNodeB2021 and other eNodeB2022 etc..Wherein, eNodeB2021 can be by returning
Journey (backhaul) (such as X2 interface) is connect with other eNodeB2022, and eNodeB2021 is connected to EPC203,
ENodeB2021 can provide the access of UE201 to EPC203.
EPC203 can include mobility management entity (Mobility Management Entity, MME) 2031, ownership
Client server (Home Subscriber Server, HSS) 2032, other MME2033, gateway (Serving Gate
Way, SGW) 2034, grouped data network gateway (PDN Gate Way, PGW) 2035 and policy and rate functional entity
(Policy and Charging Rules Function, PCRF) 2036 etc..Wherein, MME2031 be processing UE201 and
The control node of signaling, provides carrying and connection management between EPC203.HSS2032 is all to manage for providing some registers
Such as the function of home location register (not shown) etc, and some are preserved in relation to use such as service features, data rates
The dedicated information in family.All customer data can be sent by SGW2034, and PGW2035 can provide the IP of UE 201
Address is distributed and other functions, and PCRF2036 is business data flow and the strategy of IP bearing resources and charging control strategic decision-making
Point, it selects and provides available strategy and charging control decision with charge execution function unit (not shown) for strategy.
IP operation 204 can include internet, Intranet, IP multimedia subsystem (IP Multimedia
Subsystem, IMS) or other IP operations etc..
Although above-mentioned be described by taking LTE system as an example, those skilled in the art it is to be understood that the present invention not only
Suitable for LTE system, be readily applicable to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA with
And following new network system etc., it does not limit herein.
Based on above-mentioned mobile terminal hardware configuration and communication system, each embodiment of the present invention is proposed.
The embodiment of the present invention provides a kind of image analysis method, and with reference to shown in Fig. 3, this method can include following step
Suddenly：
Step 301 obtains the first image and the second image.
Wherein, the first image is to use the image acquisition device of first terminal collected for target object, the second image
It is to use the image acquisition device of second terminal collected for target object, the acquisition angles phase of the first image and the second image
Together.
In other embodiments of the invention, step 301 obtains the first image and the second image and can be set by image analysis
It is standby to realize；The image analysis equipment can be the equipment that analysis comparison can be carried out to the image got, such as can be
Server or terminal.First image and the second image can be that first terminal and the image acquisition device of second terminal is respectively adopted
It collects, and the first image and the second image can be obtained for same object using identical angle acquisition
's.
In a kind of feasible realization method, first terminal can be test machine that needs to be tested, such as can be
Need the testing mobile phone tested；Second terminal can be the comparison machine compared with test machine, for example, can be user according to
The higher comparison mobile phone of quality of the hobby of oneself or the camera of actual demand selection, which can be XX models
Mobile phone.It should be noted that first terminal is different from second terminal, image acquisition device can be first terminal and second terminal
In camera.
Before the camera for the camera and second terminal for using first terminal acquires the first image and the second image, need
First to detect first terminal camera and second terminal camera it is whether in running order；Detect the camera shooting of first terminal
Whether head is with the camera of second terminal in running order, can be by detecting the camera and second terminal of first terminal
Whether camera, which is opened, is realized；If the camera of first terminal and the camera of second terminal are opened, illustrate first terminal
Camera and the camera of second terminal are in running order.At this point it is possible to camera and second terminal using first terminal
Camera shooting image.
Step 302 carries out the first image to handle determining first area, and processing is carried out to the second image and determines the secondth area
Domain.
In other embodiments of the invention, step 302 carries out the first image to handle determining first area and to second
Image is carried out handling determining second area and can be realized by image analysis equipment.
Wherein, step 302 to the first image handle determining first area, and processing is carried out to the second image and determines the
Two regions can be accomplished by the following way：
Step 302a, the first image is handled using preset algorithm, first area is determined from the first image.
Step 302b, the second image is handled using preset algorithm, second area is determined from the second image.
Wherein, preset algorithm is a kind of pre-set algorithm that region division can be carried out to image；A kind of feasible
Realization method in, preset algorithm can include carry out edge analysis algorithm, for example, carry out edge analysis algorithm can wrap
Include open source code computer vision class libraries (open source computer vision library, opencv).Specifically
, edge detection is carried out, and then obtain the first image and the second image to the first image and the second image using opencv respectively
The profile of the object included.Later, based on the profile of object that the first image and the second image include to the first image and
Second image carries out region division, obtains the second area in the first area and the second image in the first image；It needs to illustrate
, first area and second area can respectively include at least five regions.
It should be noted that can be handled using identical algorithm to the first image and the second image, also may be used
Being handled using different algorithms, still, the final result of processing is all the first area that determine in the first image,
Determine the second area in the second image.
Second target component of step 303, the first object parameter for calculating first area and second area.
Wherein, first object parameter is used to indicate the clarity of the image of first area, and the second target component is used to indicate
The clarity of the image of second area.
In other embodiments of the invention, step 303 calculates the first object parameter and second area of first area
Second target component can be realized by image analysis equipment；Calculate first area first object parameter and second area the
Two target components can be realized using a kind of parameter computational algorithm；For example, the parameter computational algorithm can include space
Frequency response (spatial frequency response, SFR) algorithm；At this point, first object parameter and the second target component
It can include modulation transfer function (Modulation Transfer Function, MTF).First object parameter is the firstth area
The mtf value in domain, the second target component are the mtf values of second area.
MTF refers to that modulation degree is known as modulation degree transmission function with the function of spatial frequency variation；MTF functions be most initially for
Illustrate the ability of camera lens.It is passed through in each cam lens and describes the MTF curve of camera lens frequently with MTF to show the energy of camera lens
Power.These curves are by reducing other systems under ideal test environment to the greatest extent in the case of the attenuation of the parsing power of camera lens
What test obtained.But MTF can also cover the parsing power evaluation to entire imaging system.
SFR is mainly used for measuring the caused influence increased with the lines of spatial frequency on single image.In brief
SFR is exactly another test method of MTF, and this test method has largely simplified testing process.SFR's is final
Calculating is desirable to obtain MTF curve.
Step 304 analyzes and processes the first image based on first object parameter and the second target component.
Wherein, step 304 be based on that first object parameter and the second target component analyze and process the first image can be with
It is realized by image analysis equipment.In the MTF for the second area for obtaining the mtf value of the first area of the first image and the second image
After value, two mtf values are compared, and the clarity of the first image is analyzed according to comparison result.
The image analysis method that the embodiment of the present invention is provided, obtaining the first image and the second image, the first image is
Collected for target object using the image acquisition device of first terminal, the second image is the Image Acquisition using second terminal
Device for target object it is collected, the acquisition angles of the first image and the second image are identical, later to the first image at
Reason determines that first area simultaneously carries out the second image to handle determining second area, calculates the first object parameter and the of first area
Second target component in two regions, first object parameter are used to indicate the clarity of the image of first area, the second target component
Be used to indicate the clarity of the image of second area, be finally based on first object parameter and the second target component to the first image into
Row analyzing and processing in this way, image analysis equipment can automatically compare collected two images, does not need to use manpower
It compares, solves the problems, such as to have test in the test method of existing test machine camera inaccurate, improve test machine
Camera test effect accuracy, avoid the waste of human resources；Also, enhance the intelligence degree of machine.
Based on previous embodiment, the embodiment of the present invention provides a kind of image analysis method, with reference to shown in Fig. 4, this method
Include the following steps：
Step 401, image analysis equipment obtain the first image and the second image.
Wherein, the first image is to use the image acquisition device of first terminal collected for target object, the second image
It is to use the image acquisition device of second terminal collected for target object, the acquisition angles phase of the first image and the second image
Together.
Step 402, image analysis equipment carry out edge analysis using preset algorithm to the first image, obtain in the first image
Target object profile first position.
Wherein, first position refers to the profile for the object that the first image includes the location of in the first image.
In a kind of feasible realization method, first position can set the first image according to the distribution of the pixel in the first image
It is set to a coordinate, obtains the coordinate position where the profile of object that the first image includes to obtain first position.For example,
It is illustrated for shooting the first obtained image and the second image and being the image for including a dog：As shown in figure 5, first
Position can be the position where the profile of dog.
Step 403, image analysis equipment are based on first position, and first area is determined from the first image.
Wherein, after the first position in obtaining the first image, it may be determined that the fringe region in the first image is in
Heart district domain, and first area is determined from the first image based on the relationship between first position and fringe region and central area.
For example, as shown in fig. 6, the region where frame A is expressed as an image, then first area can be frame 1, frame 2, frame 3, frame
4 and frame 5 correspond to the region in an image.
Step 404, image analysis equipment carry out edge analysis using preset algorithm to the second image, obtain in the second image
Target object profile the second position.
Wherein, the second position refers to the profile for the object that the second image includes the location of in the first image.
In a kind of feasible realization method, the second position can set the second image according to the distribution of the pixel in the second image
It is set to a coordinate, obtains the coordinate position where the profile of object that the second image includes to obtain the second position.
Step 405, image analysis equipment are based on the second position, and second area is determined from the second image.
Wherein, after the second position in obtaining the second image, it may be determined that the fringe region in the second image is in
Heart district domain, and second area is determined from the second image based on the relationship between the second position and fringe region and central area.
Step 406, image analysis equipment calculate the first object parameter of first area and the second target ginseng of second area
Number.
Step 407, image analysis equipment obtain the magnitude relationship between first object parameter and the second target component.
Wherein, if first object parameter is the mtf value of first area, the second target component is the mtf value of second area, figure
As analytical equipment compares the magnitude relationship of the mtf value in the corresponding each region of two images, if the mtf value of the first image is less than the
The mtf value of two images illustrates the clarity of the first image not as good as the second image, just need at this time to the clarity of the first image into
Row is adjusted；If the mtf value of the first image is greater than or equal to the mtf value of the second image, illustrate the clarity of the first image than second
Image it is good, do not need to that the first image is adjusted.For example, to shoot obtained the first image and the second image to include
It is illustrated for the image of one dog：As shown in fig. 7, the region a1 in the upper left corner in first image, upper right can be selected
Region b1, lower left corner region c1 and the region d1 in the lower right corner at angle be first area, also, region a1, region b1, region c1 and
All frame choosing has the profile of dog in the d1 of region；Meanwhile if the second area in the second image selected includes：The upper left of second image
The region a2 at angle, the region b2 in the upper right corner, lower left corner region c2 and the region d2 in the lower right corner；At this point it is possible to the MTF by region a1
Value and the mtf value of region a2 are compared, and the mtf value of region b1 and the mtf value of region b2 are compared, by region c1's
The mtf value of mtf value and region c2 is compared, and the mtf value of region d1 and the mtf value of region d2 are compared, to realize
The comparison of the mtf value of one region and second area.
If step 408, first object parameter are less than the second target component, image analysis equipment determines the clear of the first image
Degree does not meet preset requirement.
It should be noted that the explanation in the present embodiment with same steps in other embodiment or related notion is referred to
Description in other embodiment, details are not described herein again.
The image analysis method that the embodiment of the present invention is provided, obtaining the first image and the second image, the first image is
Collected for target object using the image acquisition device of first terminal, the second image is the Image Acquisition using second terminal
Device for target object it is collected, the acquisition angles of the first image and the second image are identical, later to the first image at
Reason determines that first area simultaneously carries out the second image to handle determining second area, calculates the first object parameter and the of first area
Second target component in two regions, first object parameter are used to indicate the clarity of the image of first area, the second target component
Be used to indicate the clarity of the image of second area, be finally based on first object parameter and the second target component to the first image into
Row analyzing and processing in this way, image analysis equipment can automatically compare collected two images, does not need to use manpower
It compares, solves the problems, such as to have test in the test method of existing test machine camera inaccurate, improve test machine
Camera test effect accuracy, avoid the waste of human resources；Also, enhance the intelligence degree of machine.
Based on previous embodiment, the embodiment of the present invention provides a kind of image analysis method, with reference to shown in Fig. 8, this method
Include the following steps：
Step 501, image analysis equipment obtain the first image and the second image.
Wherein, the first image is to use the image acquisition device of first terminal collected for target object, the second image
It is to use the image acquisition device of second terminal collected for target object, the acquisition angles phase of the first image and the second image
Together.
Step 502, image analysis equipment carry out edge analysis using preset algorithm to the first image, obtain in the first image
Target object profile first position.
Step 503, image analysis equipment determine first edge region and the according to default determining method from the first image
One central area.
It wherein, can be first according to preset at the first edge region and the first central area in determining the first image
Size, it is first edge region that frame as shown in Figure 7, which selects the region of the correspondingly-sized at four angles of the first image, and then frame selects first
The region of the correspondingly-sized of picture centre is the first central area.
Step 504, image analysis equipment determine whether include first position in first edge region and the first central area
Any region at place.
Wherein, after frame selects to obtain first edge region and the first central area, judge in first edge region and first
Whether region that the first position of first image covered is included in heart district domain；Can be to judge first edge when judgement
Whether subregion in region that first position covered is included in region and the first central area；If the first side
Edge region and the first central area include the subregion in the region that first position is covered, it may be determined that first edge area
Domain and the first central area are first area.
If not including the subregion in the region that first position is covered in first edge region and the first central area,
The size selected when just needing to expand initial at this time, later according to the size after expansion use with the size according to initial preset into
Row frame choosing same procedure carries out frame choosing in the first image, until select first edge region and the first central area in extremely
Include the subregion in the region that first position is covered less.
If step 505, first edge region and the first central area include any region where first position, image
Analytical equipment determines first edge region and the first central area is first area.
Step 506, image analysis equipment carry out edge analysis using preset algorithm to the second image, obtain in the second image
Target object profile the second position.
Step 507, image analysis equipment determine second edge region and the according to default determining method from the second image
Two central areas.
Step 508, image analysis equipment determine whether include the second position in second edge region and the second central area
Any region at place.
If step 509, second edge region and the second central area include any region where the second position, image
Analytical equipment determines second edge region and the second central area is second area.
It should be noted that step 507-509 expressions is second area to be determined from the second image, and 507-508
Determine that the specific implementation process of second area is identical with the realization process in step 503-505, is referred to from the second image
Explanation in step 503-505, details are not described herein again.
Step 510, image analysis equipment calculate the first object parameter of first area and the second target ginseng of second area
Number.
Step 511, image analysis equipment obtain the magnitude relationship between first object parameter and the second target component.
If step 512, first object parameter are less than the second target component, image analysis equipment determines the clear of the first image
Degree does not meet preset requirement.
Based on previous embodiment, in other embodiments of the invention, before obtaining the first image and the second image, the figure
As analysis method can also include the following steps：
Step 513, image analysis equipment obtain motor when acquiring the first image and the second image in image acquisition device
Position.
Wherein, before the first image and the second image is obtained, can in advance to the first image of acquisition and the second image when
The focusing situation of image acquisition device is analyzed, it is ensured that the accuracy of collected first image and the second image.
It determines the focusing situation of image acquisition device when the first image of acquisition and the second image, can will acquire the first image
It is compared with the position of the motor of camera during the second image with predeterminated position, if the difference of the position of motor and predeterminated position
In default value, illustrate that camera focusing is accurate；If the position of motor and the difference of predeterminated position are beyond default value, explanation
Camera focusing is inaccurate.Wherein, predeterminated position can be based on one obtained during actual use camera shooting image
A position, can be by it is multigroup focusing it is accurate when motor position analyze after obtain；Also, the predeterminated position can
To be motor corresponding position when camera focusing is accurate during history use.
The position of step 514, image analysis equipment based on motor determines that image acquisition device acquires the first image and the second figure
Whether focusing is accurate during picture.
It should be noted that the explanation in the present embodiment with same steps in other embodiment or related notion is referred to
Description in other embodiment, details are not described herein again.
The image analysis method that the embodiment of the present invention is provided can automatically carry out collected two images pair
Than not needing to compare using manpower, solving and there is test inaccuracy in the test method of existing test machine camera
Problem improves the accuracy of the test effect of the camera of test machine, avoids the waste of human resources；Also, it enhances
The intelligence degree of machine.
Based on previous embodiment, the embodiment of the present invention provides a kind of image analysis equipment, which can be with
In the image analysis method provided applied to Fig. 3~4 and 8 corresponding embodiments, with reference to shown in Fig. 9, which can
To include：Processor 61, memory 62 and communication bus 63；
Communication bus 63 is used to implement the communication connection between processor 61 and memory 62；
Processor 61 is used to perform the image analysis program stored in memory 62, to realize following steps：
Obtain the first image and the second image.
Wherein, the first image is to use the image acquisition device of first terminal collected for target object, the second image
It is to use the image acquisition device of second terminal collected for target object, the acquisition angles phase of the first image and the second image
Together；
First image is carried out to handle determining first area, and the second image is carried out to handle determining second area；
Calculate the first object parameter of first area and the second target component of second area；
Wherein, first object parameter is used to indicate the clarity of the image of first area, and the second target component is used to indicate
The clarity of the image of second area；
The first image is analyzed and processed based on first object parameter and the second target component.
In other embodiments of the invention, processor 61 is used to perform the image analysis program stored in memory 62,
To realize following steps：
The first image is handled using preset algorithm, first area is determined from the first image；
The second image is handled using preset algorithm, second area is determined from the second image.
In other embodiments of the invention, processor 61 is used to perform the image analysis program stored in memory 62,
To realize following steps：
Edge analysis is carried out to the first image using preset algorithm, obtains the of the profile of target object in the first image
One position；
Based on first position information, first area is determined from the first image.
In other embodiments of the invention, processor 61 is used to perform the image analysis program stored in memory 62,
To realize following steps：
According to default determining method, first edge region and the first central area are determined from the first image；
Determine whether include any region where first position in first edge region and the first central area；
If first edge region and the first central area include any region where first position, first edge is determined
Region and the first central area are first area.
In other embodiments of the invention, processor 61 is used to perform the image analysis program stored in memory 62,
To realize following steps：
Edge analysis is carried out to the second image using preset algorithm, obtains the of the profile of target object in the second image
Two positions；
Based on second position information, second area is determined from the second image.
In other embodiments of the invention, processor 61 is used to perform the image analysis program stored in memory 62,
To realize following steps：
According to default determining method, second edge region and the second central area are determined from the second image；
Determine whether include any region where the second position in second edge region and the second central area；
If second edge region and the second central area include any region where the second position, second edge is determined
Region and the second central area are second area.
In other embodiments of the invention, processor 61 is used to perform the image analysis program stored in memory 62,
To realize following steps：
Obtain the magnitude relationship between first object parameter and the second target component；
If first object parameter is less than the second target component, determine that the clarity of the first image does not meet preset requirement.
In other embodiments of the invention, processor 61 is used to perform the image analysis program stored in memory 62,
To realize following steps：
The position of motor when obtaining the first image of acquisition and the second image in described image collector；
Position based on motor determines whether focusing is accurate when image acquisition device acquires the first image and the second image.
It should be noted that the specific implementation process of the step in the present embodiment performed by processor, be referred to Fig. 3~
Realization process in the image analysis method that 4 and 8 corresponding embodiments provide, details are not described herein again.
The image analysis equipment that the embodiment of the present invention is provided can automatically carry out collected two images pair
Than not needing to compare using manpower, solving and there is test inaccuracy in the test method of existing test machine camera
Problem improves the accuracy of the test effect of the camera of test machine, avoids the waste of human resources；Also, it enhances
The intelligence degree of machine.
Based on previous embodiment, the embodiment of the present invention provides a kind of computer readable storage medium, computer-readable to deposit
Storage media is stored with one or more program, one or more program can be performed by one or more processor, with reality
Existing following steps：
Obtain the first image and the second image.
Wherein, the first image is to use the image acquisition device of first terminal collected for target object, the second image
It is to use the image acquisition device of second terminal collected for target object, the acquisition angles phase of the first image and the second image
Together；
First image is carried out to handle determining first area, and the second image is carried out to handle determining second area；
Calculate the first object parameter of first area and the second target component of second area；
Wherein, first object parameter is used to indicate the clarity of the image of first area, and the second target component is used to indicate
The clarity of the image of second area；
The first image is analyzed and processed based on first object parameter and the second target component.
In other embodiments of the invention, one or more program can be performed by one or more processor, with
Realize following steps：
The first image is handled using preset algorithm, first area is determined from the first image；
The second image is handled using preset algorithm, second area is determined from the second image.
In other embodiments of the invention, one or more program can be performed by one or more processor, with
Realize following steps：
Edge analysis is carried out to the first image using preset algorithm, obtains the of the profile of target object in the first image
One position；
Based on first position information, first area is determined from the first image.
In other embodiments of the invention, one or more program can be performed by one or more processor, with
Realize following steps：
According to default determining method, first edge region and the first central area are determined from the first image；
Determine whether include any region where first position in first edge region and the first central area；
If first edge region and the first central area include any region where first position, first edge is determined
Region and the first central area are first area.
In other embodiments of the invention, one or more program can be performed by one or more processor, with
Realize following steps：
Edge analysis is carried out to the second image using preset algorithm, obtains the of the profile of target object in the second image
Two positions；
Based on second position information, second area is determined from the second image.
In other embodiments of the invention, one or more program can be performed by one or more processor, with
Realize following steps：
According to default determining method, second edge region and the second central area are determined from the second image；
Determine whether include any region where the second position in second edge region and the second central area；
If second edge region and the second central area include any region where the second position, second edge is determined
Region and the second central area are second area.
In other embodiments of the invention, one or more program can be performed by one or more processor, with
Realize following steps：
Obtain the magnitude relationship between first object parameter and the second target component；
If first object parameter is less than the second target component, determine that the clarity of the first image does not meet preset requirement.
In other embodiments of the invention, one or more program can be performed by one or more processor, with
Realize following steps：
The position of motor when obtaining the first image of acquisition and the second image in described image collector；
Position based on motor determines whether focusing is accurate when image acquisition device acquires the first image and the second image.
It should be noted that the specific implementation process of the step in the present embodiment performed by processor, be referred to Fig. 3~
Realization process in the image analysis method that 4 and 8 corresponding embodiments provide, details are not described herein again.
Wherein, the memory 62 in the embodiment corresponding with Fig. 9 of memory 109 in the corresponding embodiments of Fig. 1 of the present invention
Unanimously, the processor 61 in the embodiment corresponding with Fig. 9 of processor 110 in the corresponding embodiments of Fig. 1 is consistent.
It should be noted that above computer readable storage medium storing program for executing can be read-only memory (Read Only Memory,
ROM), programmable read only memory (Programmable Read-Only Memory, PROM), erasable programmable is read-only deposits
Reservoir (Erasable Programmable Read-Only Memory, EPROM), electrically erasable programmable read-only memory
(Electrically Erasable Programmable Read-Only Memory, EEPROM), magnetic random access store
Device (Ferromagnetic Random Access Memory, FRAM), flash memory (Flash Memory), magnetic surface are deposited
The memories such as reservoir, CD or CD-ROM (Compact Disc Read-Only Memory, CD-ROM)；It can also be packet
The various electronic equipments for including one of above-mentioned memory or arbitrarily combining, such as mobile phone, computer, tablet device, individual digital
Assistant etc..
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property includes, so that process, method, article or device including a series of elements not only include those elements, and
And it further includes other elements that are not explicitly listed or further includes intrinsic for this process, method, article or device institute
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including this
Also there are other identical elements in the process of element, method, article or device.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme of the present invention substantially in other words does the prior art
Going out the part of contribution can be embodied in the form of software product, which is stored in a storage medium
In (such as ROM/RAM, magnetic disc, CD), used including some instructions so that a station terminal equipment (can be mobile phone, computer takes
Business device, air conditioner or the network equipment etc.) perform each described method of embodiment of the present invention.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real
The device of function specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps are performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
It these are only the preferred embodiment of the present invention, be not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow shift that bright specification and accompanying drawing content are made directly or indirectly is used in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of image analysis method, which is characterized in that the method includes：
Obtain the first image and the second image；Wherein, described first image is to be directed to mesh using the image acquisition device of first terminal
Mark object is collected, and second image is to be collected using the image acquisition device of second terminal for the target object
, described first image is identical with the acquisition angles of second image；
Described first image is carried out to handle determining first area, and second image is carried out handling determining second area；
Calculate the first object parameter of the first area and the second target component of the second area；Wherein, described first
Target component is used to indicate the clarity of the image of the first area, and second target component is used to indicate secondth area
The clarity of the image in domain；
Described first image is analyzed and processed based on the first object parameter and second target component.
2. according to the method described in claim 1, it is characterized in that, described carry out described first image in determining firstth area of processing
Domain, and second image is carried out handling determining second area, including：
Described first image is handled using preset algorithm, the first area is determined from described first image；
Second image is handled using the preset algorithm, the second area is determined from second image.
3. according to the method described in claim 2, it is characterized in that, it is described using preset algorithm to described first image at
Reason determines the first area from described first image, including：
Edge analysis is carried out to described first image using preset algorithm, obtains the target object in described first image
The first position of profile；
Based on the first position information, the first area is determined from described first image.
4. according to the method described in claim 3, it is characterized in that, described be based on the first position information, from described first
The first area is determined in image, including：
According to default determining method, first edge region and the first central area are determined from described first image；
Determine whether include any region where the first position in the first edge region and the first central area；
If the first edge region and the first central area include any region where the first position, determine described
First edge region and first central area are the first area.
5. according to the method in claim 2 or 3, which is characterized in that described to use the preset algorithm to second figure
As being handled, the second area is determined from second image, including：
Edge analysis is carried out to second image using preset algorithm, obtains the target object in second image
The second position of profile；
Based on the second position information, the second area is determined from second image.
6. according to the method described in claim 5, it is characterized in that, described be based on the second position information, from described second
The second area is determined in image, including：
According to default determining method, second edge region and the second central area are determined from second image；
Determine whether include any region where the second position in the second edge region and the second central area；
If the second edge region and the second central area include any region where the second position, determine described
Second edge region and second central area are the second area.
7. according to the method described in claim 1, it is characterized in that, described be based on the first object parameter and second mesh
Mark parameter analyzes and processes described first image, including：
Obtain the magnitude relationship between the first object parameter and second target component；
If the first object parameter be less than second target component, determine described first image clarity do not meet it is default
It is required that.
8. according to the method described in claim 1, it is characterized in that, described be directed to using the image acquisition device acquisition of first terminal
First image of target object, and using second terminal image acquisition device acquisition for the target object the second image it
Before, it further includes：
The position of motor when obtaining acquisition described first image and second image in described image collector；
Based on the position of the motor, determine to focus when described image collector acquisition described first image and second image
It is whether accurate.
9. a kind of image analysis equipment, which is characterized in that the equipment includes：Processor, memory and communication bus；
The communication bus is used to implement the communication connection between the processor and the memory；
The processor is used to perform the image analysis program stored in the memory, to realize following steps：
Obtain the first image and the second image；Wherein, described first image is to be directed to mesh using the image acquisition device of first terminal
Mark object is collected, and second image is to be collected using the image acquisition device of second terminal for the target object
, described first image is identical with the acquisition angles of second image；
Described first image is carried out to handle determining first area, and second image is carried out handling determining second area；
Calculate the first object parameter of the first area and the second target component of the second area；Wherein, described first
Target component is used to indicate the clarity of the image of the first area, and second target component is used to indicate secondth area
The clarity of the image in domain；
Described first image is analyzed and processed based on the first object parameter and second target component.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage there are one or
Multiple programs, one or more of programs can be performed by one or more processor, to realize such as claim 1 to 8
Any one of described in image analysis method the step of.
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| CN109558829A (en) * | 2018-11-26 | 2019-04-02 | 浙江大华技术股份有限公司 | A kind of lane change detection method and device, computer installation and readable storage medium storing program for executing |
| CN112863408A (en) * | 2019-11-26 | 2021-05-28 | 逸美德科技股份有限公司 | Screen resolution detection method and device |
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