CN105989599A - Image processing method and apparatus, and terminal - Google Patents
Image processing method and apparatus, and terminal Download PDFInfo
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- CN105989599A CN105989599A CN201510082223.1A CN201510082223A CN105989599A CN 105989599 A CN105989599 A CN 105989599A CN 201510082223 A CN201510082223 A CN 201510082223A CN 105989599 A CN105989599 A CN 105989599A
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Abstract
The invention discloses an image processing method and apparatus, and a terminal. The method comprises: matching degrees between a plurality of to-be-processed images are calculated based on features of all images; a plurality of images with matching degrees larger than a preset matching threshold value are obtained; according to a preset image management strategy, all images or parts of images among the multiple images with the matching degrees larger than the preset matching degree threshold value are deleted or kept. According to the invention, on the basis of the image identification technology and the signal processing technology, pictures with same scenes can be identified from multiple pictures and then picture deletion or keeping management is carried out; the definition of the pictures with the same scenes can be calculated and the pictures with the same scenes and definition can be displayed for users, so that the user can carry out picture sorting based on the pictures with the same scenes and definition. Therefore, the user can identify repeated pictures and thus can delete pictures with shooting failures conveniently, so that the storage space is saved and the user experience effect is good.
Description
Technical field
The present invention relates to technical field of image processing, particularly relate to a kind of image processing method, device and terminal.
Background technology
With the development of terminal technology, the function in terminal is more and more abundanter.In the various functions of terminal,
It is camera function that user uses relatively more functions.But, during taking pictures, user often due to shake,
Focus unsuccessfully, view-finder have other people to pass by, regulate camera parameter, posture of taking pictures does not sets, light too
Secretly, the noise reason such as too much, the shooting that repeats to being modified property of Same Scene, at the photo repeating shooting
In, major part is for shooting failed photo, and only small part is the successful photo of shooting.
The such as photo repeating shooting under the same scene shown in Figure 1A, Figure 1B and Fig. 1 C, Figure 1B
Shown image substantially obscures；Image ratio shown in Fig. 1 C is more visible；Image shown in Figure 1A, at picture
Display on the less terminal screen of element seems clear, but shows on the higher terminal screen of pixel and will send out
Show image blurring and noise is more.
For repeating situation about taking pictures, terminal can exist the identical photo of multiple scenes.At present, terminal
Atlas, not for the management function automatically of this situation, i.e. can not be supplied to unified for photo identical for scene
User, carries out deletion or the retention management of photo, but needs repeat fields in user oneself Manual arranging terminal
The failed photo of shooting under scape, therefore, user is very inconvenient when the identical photo of management scene, easily makes
The problem becoming the photo that a large amount of shooting of storage in terminal is failed, the memory space of waste terminal.
Content of the invention
A kind of image processing method of offer, device and terminal are provided, existing to solve
Technology for scene identical photo management inconvenience problem.
Based on above-mentioned technical problem, the present invention solves by the following technical programs.
The invention provides a kind of image processing method, comprising: in pending multiple images, according to often
The feature of individual image, calculates the matching degree between image；Obtain matching degree more than the matching degree threshold value preset
Multiple images；According to default image management strategy, delete or retain described matching degree more than the coupling preset
All or part of image in multiple images of degree threshold value.
Wherein, in pending multiple images, according to the feature of each image, calculate between image
Degree of joining, comprising: in pending image, according to the attribute of each image, by described pending image
It is divided into one or more image sets；Calculate the matching degree between the image in each image sets respectively；Described
Obtain multiple images more than the matching degree threshold value preset for the matching degree, comprising: obtain respectively in each image sets
Matching degree is more than multiple images of the matching degree threshold value preset.
Wherein, the attribute of described image includes: exchangeable image file EXIF attribute；Wherein, described EXIF
Attribute includes image capturing time information and image-capturing positions information；According to the attribute of each image, will treat
The multiple images processing are divided into one or more image sets, comprising: the EXIF attribute according to each image,
Shooting distance is less than the multiple of the time threshold preset less than the distance threshold preset and shooting time interval
Image, is divided into an image sets.
Wherein, the matching degree between the described image calculating respectively in each image sets, comprising: for each
Image sets, obtains the thumbnail of each image in described image sets；In the thumbnail of each image, extract
Visual pattern characteristic point；Based on the visual pattern characteristic point of each image, calculate image two in described image sets
Matching degree between two.
Wherein, described basis preset image management strategy, delete or retain described matching degree more than preset
All or part of image in multiple images of matching degree threshold value, comprising: be more than for described matching degree and preset
Multiple images of matching degree threshold value, calculate definition and/or the noise number of wherein each image；According to often
The definition of individual image and/or noise number, select to delete or retain in the plurality of image all or part of
Image.
Present invention also offers a kind of image processing apparatus, comprising: computing module, pending for calculating
Matching degree between image；Acquisition module, is more than the multiple of the matching degree threshold value preset for obtaining matching degree
Image；Processing module, for according to the image management strategy preset, deleting or retaining described matching degree and be more than
All or part of image in multiple images of the matching degree threshold value preset.
Wherein, described computing module, in pending image, according to the attribute of each image, will
Described pending image is divided into one or more image sets；Calculate respectively the image in each image sets it
Between matching degree；Wherein, the attribute of described image includes: exchangeable image file EXIF attribute；Wherein,
Described EXIF attribute includes image capturing time information and image-capturing positions information；Described computing module,
EXIF attribute according to each image, by shooting distance less than between the distance threshold preset and shooting time
It every the multiple images less than the time threshold preset, is divided into an image sets；Described acquisition module, is used for
Obtain matching degree in each image sets respectively and be more than multiple images of the matching degree threshold value preset.
Wherein, described computing module, is used for: for each image sets, obtains each figure in described image sets
The thumbnail of picture；In the thumbnail of each image, extract visual pattern characteristic point；Based on each image
Visual pattern characteristic point, calculates image matching degree between any two in described image sets.
Wherein, described processing module, is used for: many more than the matching degree threshold value preset for described matching degree
Individual image, calculates definition and/or the noise number of wherein each image；Definition according to each image and
/ or noise number, select to delete or retain all or part of image in the plurality of image.
Invention further provides a kind of terminal, described terminal is based on described image processing apparatus, to being stored in
Image in described terminal carries out image procossing.
The present invention has the beneficial effect that:
The present invention is based on image recognition technology and signal processing technology, in multiple pictures, identifies identical field
The photo of scape, carries out picture deletion or retention management；The definition of the photo of same scene can also be calculated,
Photo and the definition thereof of same scene are showed user, reference when arranging photo as user.By this
Invention can help user to identify the photo of repeatability, facilitates user to delete the failed photo of shooting, Jin Erjie
Saving memory space, Consumer's Experience effect is preferable.
Brief description
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application,
The schematic description and description of the present invention is used for explaining the present invention, is not intended that the improper limit to the present invention
Fixed.In the accompanying drawings:
Figure 1A, 1B and 1C are the schematic diagrames of the photo repeating shooting under same scene；
Fig. 2 is the flow chart of image processing method according to an embodiment of the invention；
Fig. 3 is the particular flow sheet of image processing method according to an embodiment of the invention；
Fig. 4 is the flow chart of the step calculating the matching degree between image according to an embodiment of the invention；
Fig. 5 is the structure chart of image processing apparatus according to an embodiment of the invention.
Detailed description of the invention
The main thought of the present invention is, in pending image, by identifying the matching degree between image,
Identify the multiple images under same scene, and then all or part of image deleted or retain in multiple image.
User can be helped to identify the photo of repeatability by the present invention, facilitate user to delete the failed photo of shooting,
And then saving memory space, Consumer's Experience effect is preferable.
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing and be embodied as
Example, is described in further detail to the present invention.
The invention provides a kind of image processing method.As in figure 2 it is shown, for according to one embodiment of the invention
The flow chart of image processing method.
Step S210, in pending multiple images, according to the feature of each image, calculates between image
Matching degree.
Pending multiple images e.g. photo, picture.
Matching degree refers to the similarity degree between image.Because the inevitable similarity of the photo of same scene shooting is relatively
High, it is possible to filter out the image of same scene by the matching degree between image.
Concrete, from stored image, obtain all or part of image as pending image；
The quantity of pending image is multiple, at least two；Extract the feature in each image, this feature bag
Include point, line or region feature, for example: be characterized as visual pattern characteristic point；According to the feature in image, calculate
Matching degree between arbitrary multiple image, e.g., calculates pending image matching degree between any two, meter
Matching degree between any three images among pending image.Further, based on default coupling
Degree algorithm, calculates the matching degree between image.Matching degree algorithm includes but is not limited to: Euclidean distance is calculated
Method, cosine law algorithm.
Step S220, obtains multiple images more than the matching degree threshold value preset for the matching degree.
Whether matching degree threshold value, being used for weighing between image is same scene.Matching degree between image is more than
Matching degree threshold value, then it represents that the scene between image is identical；Matching degree between image is less than or equal to matching degree
Threshold value, then it represents that the scene between image is different.
Image because the purpose of the present embodiment is, under management same scene.So, obtaining image
Between matching degree after, matching degree individually is obtained out more than multiple images of matching degree threshold value, namely
It is that multiple images of same scene individually are obtained out.
For example: pending image includes a, b, c, d；Matching degree threshold value is 0.9；Calculate a and b, a
And c, a and d, b and c, the matching degree between b and d, c and d be respectively 0.95 (a and b), 0.2
(a and c), 0.3 (a and d), 0.2 (b and c), 0.3 (b and d), 0.96 (c and d)；Figure
Between Xiang similarity more than 0.9 for a and b and c and d, then illustrate that a and b is under same scene
Image, c and d is the image under same scene；Obtain a and b and c and d respectively, as two groups
The image of same scene.
Step S230, according to default image management strategy, deletes or retains described matching degree more than presetting
All or part of image in multiple images of matching degree threshold value.
In image management strategy, it is stipulated that to matching degree more than the multiple images of the matching degree threshold value preset
Processing method, in order to delete or retain the image under same scene.
Image management strategy includes but is not limited to: be more than multiple figures of the matching degree threshold value preset for matching degree
Picture, calculates definition and/or the noise number of wherein each image；Definition according to each image and/or
Noise number, selects to delete or retain all or part of image in the plurality of image.
For example: image management strategy is: be more than in multiple images of the matching degree threshold value preset in matching degree,
Delete the image less than the clarity threshold preset for the definition；Or delete noise number and be more than noise number threshold
The image of value；Or being ranked up the definition or noise number of picture, only reservation definition is the highest or makes an uproar
The minimum image of some number, deletes remaining image；Again or, by matching degree more than matching degree threshold value many
Individual image shows, to user, is selected to delete by user or retains image.
User selects the image needing to delete or retain for convenience, calculates matching degree more than the matching degree preset
The definition of each image in multiple images of threshold value；While showing image, show the clear of this image
Degree；User can select to delete according to the definition of image or retain this image.
Further, if having many group matching degrees more than multiple images of matching degree threshold value, in other words, have
The images organizing same scene, then will often organize image shows to user respectively.For example: the matching degree of a and b
More than matching degree threshold value, the matching degree of c and d is more than matching degree threshold value, then first can show a for user
And b, after completing a and b process, then show c and d for user.
A specific embodiment is given below, explanation further is carried out to the present invention.
As it is shown on figure 3, Fig. 3 is the particular flow sheet of image processing method according to an embodiment of the invention.
Step S310, in the image of storage, obtains not yet processed image, as pending image.
In the present embodiment, the image after mark is processed, that is to say after image procossing, for being retained
The image coming, is marked, in order to distinguish through processing and untreated image.
In the image of storage, read the mark of image, obtain the image not being labeled, as pending figure
Picture.
Pending image, in pending image, according to the attribute of each image, is drawn by step S320
It is divided into one or more image sets.
The attribute of image includes: exchangeable image file (Exchangeable Image File is called for short EXIF)
Attribute；Wherein, EXIF attribute includes: image capturing time information, image-capturing positions information.Image
Shooting time information can be the moment of shooting image.This image-capturing positions information can be global positioning system
The positioning information of system (Global Positioning System is called for short GPS).
The shooting time of image is compared by the EXIF attribute according to each image, by the shooting of image
Position compares, and then is less than pre-by shooting distance less than the distance threshold preset and shooting time interval
If the image of time threshold, be divided into an image sets.Such purpose is, can be by shooting distance
Relatively near and that shooting time is nearer image is divided into an image sets.Because shooting distance is near and shoots
Time near image, the identical possibility of scene is bigger.
Further, pending image is divided into multiple image sets, and then enters respectively for each image sets
Row is processed, and so can reduce operand, improves operation efficiency, improves carrying of the picture under Same Scene
Take efficiency.
The present embodiment is preferred, and distance threshold is 100m, and time threshold is 3min.In other words, image
Between the distance of spot for photography be less than 100m, and the time interval of shooting can less than the image of 3min
It is divided in an image sets.
Step S330, calculates the matching degree between the image in each image sets respectively.
In each image sets, perform following steps respectively: obtain the thumbnail of each image in image sets；
In the thumbnail of each image, extract visual pattern characteristic point；Visual pattern feature based on each image
Point, calculates the matching degree of any two image in image sets.The detailed description of above-mentioned steps refer to following
Fig. 4.
Step S340, obtains matching degree in each image sets respectively and, more than multiple images of matching degree threshold value, makees
For coupling image.
Matching degree is more than between multiple images of matching degree threshold value, is referred to as mutually coupling image.Can match mutually
Make scene between the picture of coupling image identical.For example: image sets comprises image a, b, c, d；A and
B matching degree is more than matching degree threshold value；C and d matching degree is more than matching degree threshold value；Then only have a and b to claim mutually
Coupling image, only c and d claims to mate image mutually.
Step S350, calculates each in each image sets respectively and mates the definition of image.
According to the change of video frequency in image, calculate the definition of image.
It is possible to further the definition of each coupling image is quantified.For example: total model of definition
Enclosing for 0%-100%, being incremented by from 0%-100% definition, 0% is unintelligible, and 100% is the most clear；Will be clear
Clear degree is divided into 5 grades；1st grade definition in the range of 0%-20%, the 2nd grade definition
Scope is 21%-40%, and the 3rd grade definition is in the range of 41%-60%, the model of the 4th grade definition
Enclosing for 61%-80%, the 5th grade definition is in the range of 81%-100%.
Step S360, shows each the coupling image in each image sets and corresponding definition thereof respectively.
Further, if quantified definition, then each in each image sets is shown
Figure picture and corresponding levels of sharpness thereof.
If an image sets comprises two groups of identical images of scene, then can only show one group of scene every time
Identical image and definition (or levels of sharpness) thereof.
Step S370, according to each coupling image and corresponding definition thereof, selects to delete or retains this image.
For example: clarity threshold is 50%, when the definition of image is less than 50%, then image is directly deleted.
And for example: in multiple coupling images, the definition of image is ranked up, selects to retain definition the highest
Image, delete other coupling image.For another example: user is according to the coupling image shown and mates the clear of image
Clear degree, manually retains or deletes image.
In one embodiment, making an uproar of image can also be calculated according to the change of video frequency in image
Point number, by reference data presented along to noise number and the image of image, that retain as image or delete.
For step S330 specifically,
Fig. 4 is the flow chart of the step calculating the matching degree between image according to an embodiment of the invention.
The present embodiment introduces OpenCV (the Open Source Computer of Android (Android) version
Vision Library) function library.By function in tape function and OpenCV function library for the Android, come
Calculate the matching degree between image.
Step S410, obtains the thumbnail of each image in image sets.
The thumbnail of image refers to: image is compressed process after the relatively low little figure of the pixel that obtains.
By ThumbnailUtils class, obtain the thumbnail of image.This ThumbnailUtils class is Android
Carry function class.For example: obtained the thumbnail of image by following statement:
Bitmap bitmap=ThumbnailUtils.extractThumbnail (bitmap, width, height,
ThumbnailUtils.OPTIONS_RECYCLE_INPUT)
Step S420, in the thumbnail of each image, extracts visual pattern characteristic point.
Visual pattern characteristic point refers to: the local feature of image.For example: visual pattern characteristic point is: yardstick
Invariant features conversion (Scale-invariant feature transform, SIFT) characteristic point or SURF
(Speed up robust feature, SURF) characteristic point.
As a example by SIFT feature point, SIFT feature is that a kind of of image processing field describes son, this description
Son has scale invariability, can detect key point in the picture；SIFT is that the vector of one 128 dimension is (special
Levy vector).
Visual pattern characteristic point can be extracted by the SIFT algorithm in OpenCV function library, for example:
Extracted the visual pattern characteristic point in thumbnail by following statement:
featuredetector.detect(BitmapMat,keypoints)
Step S430, based on the visual pattern characteristic point of each image, in calculating image sets, image is between any two
Matching degree.
By calculating the Euclidean distance of each visual pattern characteristic point in two images, obtain these two figures
The matching degree of picture.Because the matching degree utilizing SIFT feature to calculate two images is prior art,
This gives one example, and makes the present embodiment easily facilitate understanding, and concrete ins and outs do not repeat.
For example: based on visual pattern characteristic point k1 in the first image, find out in the second image and regard apart from this
Closest two the visual pattern characteristic points (the first key point and the second key point) of feel image characteristic point k1,
If the first key point is less than or equal to the second key point and visual pattern with the distance of visual pattern characteristic point k1
The distance of characteristic point k1, then by the first corresponding distance of key point divided by the second corresponding distance of key point,
If the value obtaining is more than the proportion threshold value preset, then the first image and the second images match are described.
Present invention also offers a kind of image processing apparatus.This image processing apparatus can arrange in the terminal,
This image processing apparatus of terminal, carries out image procossing to storage image in the terminal.
As it is shown in figure 5, be the structure chart of the image processing apparatus according to one embodiment of the invention.
In the apparatus, comprising:
Computing module 510, for calculating the matching degree between pending image.
Acquisition module 520, for obtaining multiple images more than the matching degree threshold value preset for the matching degree.
Processing module 530, for according to the image management strategy preset, deletes or to retain described matching degree big
All or part of image in multiple images of default matching degree threshold value.
In one embodiment, computing module 510, in pending image, according to each image
Attribute, described pending image is divided into one or more image sets；Calculate each image sets respectively
In image between matching degree；Wherein, the attribute of described image includes: exchangeable image file EXIF
Attribute；Wherein, described EXIF attribute includes image capturing time information and image-capturing positions information；Institute
State computing module, the EXIF attribute according to each image, by shooting distance less than preset distance threshold,
And shooting time interval is less than multiple images of the time threshold preset, and is divided into an image sets.Obtain mould
Block 520, is more than multiple images of the matching degree threshold value preset for obtaining matching degree in each image sets respectively.
Concrete, computing module 510, for for each image sets, obtain each figure in described image sets
The thumbnail of picture；In the thumbnail of each image, extract visual pattern characteristic point；Based on each image
Visual pattern characteristic point, calculates image matching degree between any two in described image sets.
In another embodiment, processing module 530, for being more than, for described matching degree, the matching degree preset
Multiple images of threshold value, calculate definition and/or the noise number of wherein each image；According to each image
Definition and/or noise number, select to delete or retain all or part of image in the plurality of image.
The function of device of the present invention is described in the embodiment of the method shown in Fig. 2-Fig. 4,
Therefore not detailed part in the description of the present embodiment, may refer to the related description in previous embodiment, at this not
Repeat.
The foregoing is only embodiments of the invention, be not limited to the present invention, for this area
For technical staff, the present invention can have various modifications and variations.All within the spirit and principles in the present invention,
Any modification, equivalent substitution and improvement etc. made, should be included within scope of the presently claimed invention.
Claims (10)
1. an image processing method, it is characterised in that include:
In pending multiple images, according to the feature of each image, calculate the matching degree between image；
Obtain multiple images more than the matching degree threshold value preset for the matching degree；
According to default image management strategy, delete or retain described matching degree more than the matching degree threshold value preset
Multiple images in all or part of image.
2. method according to claim 1, it is characterised in that
In pending multiple images, according to the feature of each image, calculate the matching degree between image,
Including:
In pending image, according to the attribute of each image, described pending image is divided into one
Individual or multiple image sets；
Calculate the matching degree between the image in each image sets respectively；
Described acquisition matching degree is more than multiple images of the matching degree threshold value preset, comprising:
Obtain matching degree in each image sets respectively and be more than multiple images of the matching degree threshold value preset.
3. method according to claim 2, it is characterised in that
The attribute of described image includes: exchangeable image file EXIF attribute；Wherein, described EXIF belongs to
Property includes image capturing time information and image-capturing positions information；
According to the attribute of each image, pending multiple images are divided into one or more image sets, bag
Include:
EXIF attribute according to each image, during by shooting distance less than the distance threshold preset and shooting
Between interval less than the multiple images of time threshold preset, be divided into an image sets.
4. method according to claim 2, it is characterised in that described calculate each image sets respectively
In image between matching degree, comprising:
For each image sets, obtain the thumbnail of each image in described image sets；
In the thumbnail of each image, extract visual pattern characteristic point；
Based on the visual pattern characteristic point of each image, calculate image coupling between any two in described image sets
Degree.
5. method according to claim 1, it is characterised in that the image management that described basis is preset
Strategy, deletes or retains described matching degree more than the whole or portion in multiple images of the matching degree threshold value preset
Partial image, comprising:
It is more than multiple images of the matching degree threshold value preset for described matching degree, calculating wherein each image
Definition and/or noise number；
Definition according to each image and/or noise number, select to delete or retain in the plurality of image
All or part of image.
6. an image processing apparatus, it is characterised in that include:
Computing module, in pending multiple images, according to the feature of each image, calculates image
Between matching degree；
Acquisition module, for obtaining multiple images more than the matching degree threshold value preset for the matching degree；
Processing module, for according to the image management strategy preset, deletes or retains described matching degree more than in advance
If matching degree threshold value multiple images in all or part of image.
7. device according to claim 6, it is characterised in that
Described computing module, in pending image, according to the attribute of each image, treats described
The image processing is divided into one or more image sets；Calculate respectively between the image in each image sets
Degree of joining；Wherein, the attribute of described image includes: exchangeable image file EXIF attribute；Wherein, described
EXIF attribute includes image capturing time information and image-capturing positions information；Described computing module, according to
Shooting distance is spaced little less than the distance threshold preset and shooting time by the EXIF attribute of each image
It in multiple images of default time threshold, is divided into an image sets；
Described acquisition module, is more than, for obtaining matching degree in each image sets respectively, the matching degree threshold value preset
Multiple images.
8. device according to claim 7, it is characterised in that described computing module, is used for:
For each image sets, obtain the thumbnail of each image in described image sets；
In the thumbnail of each image, extract visual pattern characteristic point；
Based on the visual pattern characteristic point of each image, calculate image coupling between any two in described image sets
Degree.
9. device according to claim 6, it is characterised in that described processing module, is used for:
It is more than multiple images of the matching degree threshold value preset for described matching degree, calculating wherein each image
Definition and/or noise number；
Definition according to each image and/or noise number, select to delete or retain in the plurality of image
All or part of image.
10. a terminal, it is characterised in that described terminal is based on according to any one of claim 6-9
Image processing apparatus, carries out image procossing to the image being stored in described terminal.
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| CN201510082223.1A CN105989599A (en) | 2015-02-15 | 2015-02-15 | Image processing method and apparatus, and terminal |
| PCT/CN2015/075563 WO2016127478A1 (en) | 2015-02-15 | 2015-03-31 | Image processing method and device, and terminal |
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