CN109558504A - A kind of image processing method - Google Patents
A kind of image processing method Download PDFInfo
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- CN109558504A CN109558504A CN201811393263.8A CN201811393263A CN109558504A CN 109558504 A CN109558504 A CN 109558504A CN 201811393263 A CN201811393263 A CN 201811393263A CN 109558504 A CN109558504 A CN 109558504A
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- image processing
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- 238000003672 processing method Methods 0.000 title claims abstract description 15
- 241001396014 Priacanthus arenatus Species 0.000 claims abstract description 4
- 230000011218 segmentation Effects 0.000 claims description 21
- 230000000694 effects Effects 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
Classifications
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- G06T5/77—
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- G06T3/04—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a kind of image processing methods, including establishing the scene database including not provincialism, pictorial information is obtained by acquisition module, pictorial information is pre-stored by cache module, the acquisition picture is compared by processing module, then corresponding scene is recruited from database as background, U.S. face is carried out to picture in the scene transferred, including filter, big eye, with thin face, the present invention is by being directed to the acquired corresponding scene of images match, U.S. face is carried out in corresponding scene again, improve the aesthetic feeling of photograph, here the photo that can also be will acquire is split, then scene matching is carried out for single picture element unit cell, to improve matching effect.
Description
Technical field
The present invention relates to technical field of image processing, specifically a kind of image processing method.
Background technique
As electronic device becomes to become more and more popular, many users gradually by a variety of different types of electronic devices come into
The shooting of row photo, such as mobile phone, camera or tablet computer.It is higher that these support that the electronic device of photograph taking often has
Resolution ratio, so as to shoot clearly image.
However, had a problem that in these electronic devices at present, these electronic devices for shooting image all
It is relatively simple, the aesthetic feeling of photo can not be taken
In view of the above-mentioned problems, there is presently provided a kind of processing method for beautifying picture.
Summary of the invention
The purpose of the present invention is to provide a kind of image processing methods, to solve the problems mentioned in the above background technology.
To achieve the above object, the invention provides the following technical scheme:
A kind of image processing method, steps are as follows: step 1: establishing the scene database including not provincialism;Step 2: passing through
Acquisition module obtains pictorial information;Step 3: being pre-stored pictorial information by cache module;Step 4: by handling mould
Block compares the acquisition picture, and corresponding scene of then recruiting from database is as background;Step 5: in the scene transferred
In U.S. face, including filter, big eye and thin face are carried out to picture.
As a further solution of the present invention: picture segmentation module includes magnetosheath unit in step 3, will by magnetosheath unit
The segmentation that each scene module in picture is completed avoids destroying scene when segmentation, here with picture segmentation module by picture
It is split, so that transferring module for matching provides secondary comparison reference.
As a further solution of the present invention: the quantity of picture segmentation is 10-20.
As a further solution of the present invention: the quantity of picture segmentation is 15.
As a further solution of the present invention: also obtaining corresponding location information when obtaining picture in step 2.
As a further solution of the present invention: further including being matched manually and photo phase by transferring unit manually in step 4
Corresponding scene, and the scene transferred manually is counted, elect module to transfer scene automatically manually further according to counting, with
Just picture is adjusted according to the hobby of different people.
As a further solution of the present invention: the scene in the database is accompanied with location information and style information.
Compared with prior art, the beneficial effects of the present invention are: by being directed to the acquired corresponding scene of images match,
U.S. face is carried out in corresponding scene again, improves the aesthetic feeling of photograph, the photo that can also be will acquire here is split, then needle
Scene matching is carried out to single picture element unit cell, to improve matching effect.
Specific embodiment
Below in conjunction with the embodiment of the present invention, technical scheme in the embodiment of the invention is clearly and completely described,
Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based in the present invention
Embodiment, every other embodiment obtained by those of ordinary skill in the art without making creative efforts, all
Belong to the scope of protection of the invention.
In the embodiment of the present invention, a kind of image processing apparatus, including for obtaining picture acquisition module and with use mould
Block connects and carries out picture pre-stored cache module, and the cache module connects the processing mould for being handled image
Block, processing module connection is for storing the database of scene corresponding with picture;
Processing module includes that picture is used to compare acquisition pictorial information and transfers the matching of corresponding scene from database and transfers mould
Block and it will acquire picture and be split the segmentation module for constituting multiple segments;
Picture segmentation module includes magnetosheath unit, and the segmentation for being completed each scene module in picture by magnetosheath unit is kept away
To exempt to destroy scene when segmentation, is split picture here with picture segmentation module, the quantity divided here is 10-20,
It is preferred that 15, so that transferring module for matching provides secondary comparison reference, because the scene amount after combination can be very big, in this way
It will lead to be stored with a large amount of scene information in database, this is obviously a little difficult, will after being here split picture
Multiple cell blocks for constituting picture are obtained, carry out matching to transfer that for multiple cell blocks, corresponding scene will be easily found.
It further includes the transferring unit manually, will transfer manually of manual matching scene corresponding with photo in module that matching, which is transferred,
Scene and its corresponding pictorial information memory unit recorded and the recommendation unit recommended according to scene number is transferred manually,
Thus picture can be adjusted according to the hobby of different people, to obtain the photo to vary with each individual.
The acquisition module further includes the locating module for acquiring photographed scene geographical location, determines photo by locating module
The rough location of acquisition, so that Auto-matching selects corresponding scene.
A kind of image processing method, steps are as follows: step 1: establishing the scene database including not provincialism;Step 2:
Pictorial information is obtained by acquisition module;Step 3: being pre-stored pictorial information by cache module;Step 4: passing through place
It manages module and compares the acquisition picture, corresponding scene of then recruiting from database is as background;Step 5: what is transferred
U.S. face, including filter, big eye and thin face are carried out to picture in scene.
Picture segmentation module includes magnetosheath unit in step 3, by magnetosheath unit that each scene module in picture is complete
At segmentation, avoid segmentation when destroy scene, picture is split here with picture segmentation module, the quantity divided here
It is 10-20, preferably 15, is referred to transfer module for matching and provide secondary comparison.
Corresponding location information is also obtained when obtaining picture in step 2.
It further include matching scene corresponding with photo manually by transferring unit manually, and will transfer manually in step 4
Scene counted, further according to counting manually elect module to transfer scene automatically, to be adjusted according to the hobby of different people
Save picture.
Scene in the database is accompanied with location information and style information.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, and do not carrying on the back
In the case where from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter from which
From the point of view of a bit, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is wanted by appended right
Ask rather than above description limit, it is intended that by all changes that come within the meaning and range of equivalency of the claims
It is included within the present invention.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiments being understood that.
Claims (7)
1. a kind of image processing method, which is characterized in that steps are as follows:
Step 1: establishing the scene database including not provincialism;
Step 2: pictorial information is obtained by acquisition module;
Step 3: being pre-stored pictorial information by cache module;
Step 4: the acquisition picture being compared by processing module, corresponding scene of then recruiting from database is as back
Scape;
Step 5: U.S. face, including filter, big eye and thin face being carried out to picture in the scene transferred.
2. image processing method according to claim 1, which is characterized in that picture segmentation module includes magnetosheath in step 3
Unit, the segmentation for being completed each scene module in picture by magnetosheath unit avoid destroying scene when segmentation, here with
Picture is split by picture segmentation module, so that transferring module for matching provides secondary comparison reference.
3. image processing method according to claim 2, which is characterized in that the quantity of picture segmentation is 10-20.
4. image processing method according to claim 2, which is characterized in that the quantity of picture segmentation is 15.
5. image processing method according to claim 1, which is characterized in that also obtain phase when obtaining picture in step 2
The location information answered.
6. image processing method according to claim 1, which is characterized in that further include by transferring list manually in step 4
First matching scene corresponding with photo manually, and the scene transferred manually is counted, further according to electing manually for counting
Module transfers scene automatically, to adjust picture according to the hobby of different people.
7. image processing method according to claim 1, which is characterized in that the scene in the database is accompanied with position
Information and style information.
Priority Applications (1)
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CN201811393263.8A CN109558504A (en) | 2018-11-21 | 2018-11-21 | A kind of image processing method |
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CN201811393263.8A CN109558504A (en) | 2018-11-21 | 2018-11-21 | A kind of image processing method |
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Citations (4)
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CN104820930A (en) * | 2015-05-19 | 2015-08-05 | 北京五悦信息科技有限公司 | Intelligent fitting system and virtual fitting method thereof |
CN105812646A (en) * | 2014-12-30 | 2016-07-27 | Tcl集团股份有限公司 | Shooting method, shooting device, image processing method, image processing device, and communication system |
CN105869198A (en) * | 2015-12-14 | 2016-08-17 | 乐视移动智能信息技术(北京)有限公司 | Multimedia photograph generating method, apparatus and device, and mobile phone |
CN108288056A (en) * | 2018-04-09 | 2018-07-17 | 王雅钲 | Object features extraction based on large-scale image data, identification device |
-
2018
- 2018-11-21 CN CN201811393263.8A patent/CN109558504A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105812646A (en) * | 2014-12-30 | 2016-07-27 | Tcl集团股份有限公司 | Shooting method, shooting device, image processing method, image processing device, and communication system |
CN104820930A (en) * | 2015-05-19 | 2015-08-05 | 北京五悦信息科技有限公司 | Intelligent fitting system and virtual fitting method thereof |
CN105869198A (en) * | 2015-12-14 | 2016-08-17 | 乐视移动智能信息技术(北京)有限公司 | Multimedia photograph generating method, apparatus and device, and mobile phone |
CN108288056A (en) * | 2018-04-09 | 2018-07-17 | 王雅钲 | Object features extraction based on large-scale image data, identification device |
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Application publication date: 20190402 |