CN107886527A - A kind of image processing system and method - Google Patents
A kind of image processing system and method Download PDFInfo
- Publication number
- CN107886527A CN107886527A CN201711165078.9A CN201711165078A CN107886527A CN 107886527 A CN107886527 A CN 107886527A CN 201711165078 A CN201711165078 A CN 201711165078A CN 107886527 A CN107886527 A CN 107886527A
- Authority
- CN
- China
- Prior art keywords
- image
- processing
- attribute information
- process points
- processing model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
- G06T7/344—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
Abstract
The present invention, which provides a kind of image processing system and method, its system, to be included：Setup module sets multiple process points in sample image, is set a property information for each process points；Import modul imports and stores processing model corresponding to each attribute information；Receiving module receives the pending image that client is sent, and multiple process points are provided with the pending image；Processing module obtains the attribute information of each process points in pending image, and attribute information of each attribute information respectively with the sample image is matched, is searched according to the attribute information matched from the import modul corresponding to processing model；Execution module is handled the process points in pending image according to processing model.The present invention can be matched by the attribute information in sample image, according to match attribute information search corresponding to processing model, automatically processed according to processing model, avoid it is artificial remove a width processing image, improve the efficiency for handling image.
Description
Technical field
The invention mainly relates to technical field of information processing, and in particular to a kind of image processing system and method.
Background technology
There is identical requirement, such as the size of image, brightness, aberration etc. for some images in webpage, if one
Width goes to handle by artificial, then needs to take a substantial amount of time and energy, and the step of how repeating pass through system
Go to seek unity of action, reduce artificial treatment, be the direction that need to be studied at present.
The content of the invention
The present invention is directed to the deficiency of above-mentioned technical problem, there is provided a kind of image processing system and method.
The technical scheme that the present invention solves above-mentioned technical problem is as follows：A kind of image processing system, including：
Setup module, for setting multiple process points in sample image, set a property information for each process points；
Import modul, model is handled corresponding to each attribute information for importing and storing；
Receiving module, for receiving the pending image of client transmission, multiple processing are provided with the pending image
Point；
Processing module, for obtaining the attribute information of each process points in the pending image, by each attribute
Attribute information of the information respectively with the sample image is matched, according to the attribute information matched from the import modul
Processing model corresponding to searching；
Execution module, for being handled according to the processing model the process points in the pending image.
The beneficial effects of the invention are as follows：It can be matched by the attribute information in sample image, be belonged to according to matching
Property processing model corresponding to information searching, automatically processed according to processing model, avoid and artificial go a width processing
Image, improve the efficiency of processing image.
On the basis of above-mentioned technical proposal, the present invention can also do following improvement.
Further, the processing model is made up of multiple graphics process steps.
Further, the graphics process step is one kind in lightness processing, toning processing and Fuzzy Processing.
Another technical scheme that the present invention solves above-mentioned technical problem is as follows：A kind of image processing method, including：
Multiple process points are set in sample image, set a property information for each process points；
Import and store processing model corresponding to each attribute information；
The pending image that client is sent is received, multiple process points are provided with the pending image；
Obtain the attribute information of each process points in the pending image, by each attribute information respectively with it is described
The attribute information of sample image is matched, the attribute information matched, is led according to the attribute information matched from described
Enter processing model corresponding to being searched in module；
The process points in the pending image are handled according to the processing model.
On the basis of above-mentioned technical proposal, the present invention can also do following improvement.
Further, the processing model is made up of multiple graphics process steps.
Further, the graphics process step is one kind in lightness processing, toning processing and Fuzzy Processing.
Brief description of the drawings
Fig. 1 is the module frame chart for the image processing system that one embodiment of the invention provides；
Fig. 2 is the method flow diagram for the image processing method that one embodiment of the invention provides.
Embodiment
The principle and feature of the present invention are described below in conjunction with accompanying drawing, the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
Fig. 1 is the module frame chart for the image processing system that one embodiment of the invention provides；
As shown in figure 1, a kind of image processing system, including：
Setup module, for setting multiple process points in sample image, set a property information for each process points；
Import modul, model is handled corresponding to each attribute information for importing and storing；
Receiving module, for receiving the pending image of client transmission, multiple processing are provided with the pending image
Point；
Processing module, for obtaining the attribute information of each process points in the pending image, by each attribute
Attribute information of the information respectively with the sample image is matched, the attribute information matched, according to the category matched
Property information searched from the import modul corresponding to processing model；
Execution module, for being handled according to the processing model the process points in the pending image.
Specifically, for example, sample image includes multiple process points, each process points correspond to attribute information, such as increase bright
Degree, pending image include process points, and the attribute information of process points is increase brightness, then the match is successful, and processing model is also set
There is attribute information, find corresponding " the processing model of increase brightness ", walked according to the processing of " the processing model of increase brightness "
Suddenly, pending image is handled.
In above-described embodiment, it can be matched by the attribute information in sample image, according to matching attribute information
Processing model corresponding to searching, automatically processed according to processing model, avoid it is artificial remove a width processing image, carry
The efficiency of high disposal image.
Alternatively, it is made up of as one embodiment of the present of invention, the processing model multiple graphics process steps.
Alternatively, as one embodiment of the present of invention, the graphics process step be lightness processing, toning processing and
One kind in Fuzzy Processing.
Fig. 2 is the method flow diagram for the image processing method that one embodiment of the invention provides；
As shown in Fig. 2 a kind of image processing method, including：
Multiple process points are set in sample image, set a property information for each process points；
Import and store processing model corresponding to each attribute information；
The pending image that client is sent is received, multiple process points are provided with the pending image；
Obtain the attribute information of each process points in the pending image, by each attribute information respectively with it is described
The attribute information of sample image is matched, the attribute information matched, is led according to the attribute information matched from described
Enter processing model corresponding to being searched in module；
The process points in the pending image are handled according to the processing model.
Specifically, for example, sample image includes multiple process points, each process points correspond to attribute information, such as increase bright
Degree, pending image include process points, and the attribute information of process points is increase brightness, then the match is successful, and processing model is also set
There is attribute information, find corresponding " the processing model of increase brightness ", walked according to the processing of " the processing model of increase brightness "
Suddenly, pending image is handled.
Alternatively, it is made up of as one embodiment of the present of invention, the processing model multiple graphics process steps.
Alternatively, as one embodiment of the present of invention, the graphics process step be lightness processing, toning processing and
One kind in Fuzzy Processing.
Reader should be understood that in the description of this specification, reference term " one embodiment ", " some embodiments ", " show
The description of example ", " specific example " or " some examples " etc. mean to combine the specific features of the embodiment or example description, structure,
Material or feature are contained at least one embodiment or example of the present invention.In this manual, above-mentioned term is shown
The statement of meaning property need not be directed to identical embodiment or example.Moreover, specific features, structure, material or the feature of description
It can be combined in an appropriate manner in any one or more embodiments or example.In addition, in the case of not conflicting, this
The technical staff in field can be by the different embodiments or example described in this specification and the spy of different embodiments or example
Sign is combined and combined.
It is apparent to those skilled in the art that for convenience of description and succinctly, the dress of foregoing description
The specific work process with unit is put, the corresponding process in preceding method embodiment is may be referred to, will not be repeated here.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
It is that unit is individually physically present or two or more units are integrated in a unit.It is above-mentioned integrated
Unit can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or in use, can
To be stored in a computer read/write memory medium.Based on such understanding, technical scheme substantially or
Say that the part to be contributed to prior art, or all or part of the technical scheme can be embodied in the form of software product
Out, the computer software product is stored in a storage medium, including some instructions are causing a computer equipment
(can be personal computer, server, or network equipment etc.) performs all or part of each embodiment method of the present invention
Step.And foregoing storage medium includes：It is USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), random
Access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with Jie of store program codes
Matter.
More than, it is only embodiment of the invention, but protection scope of the present invention is not limited thereto, and it is any to be familiar with
Those skilled in the art the invention discloses technical scope in, various equivalent modifications or substitutions can be readily occurred in,
These modifications or substitutions should be all included within the scope of the present invention.Therefore, protection scope of the present invention should be wanted with right
The protection domain asked is defined.
Claims (6)
- A kind of 1. image processing system, it is characterised in that including：Setup module, for setting multiple process points in sample image, set a property information for each process points；Import modul, model is handled corresponding to each attribute information for importing and storing；Receiving module, for receiving the pending image of client transmission, multiple process points are provided with the pending image；Processing module, for obtaining the attribute information of each process points in the pending image, by each attribute information The attribute information with the sample image is matched respectively, is searched according to the attribute information matched from the import modul Corresponding processing model；Execution module, for being handled according to the processing model the process points in the pending image.
- 2. a kind of image processing system according to claim 1, it is characterised in that the processing model is by multiple figures Manage step composition.
- 3. a kind of image processing system according to claim 1, it is characterised in that the graphics process step is lightness One kind in processing, toning processing and Fuzzy Processing.
- A kind of 4. image processing method, it is characterised in that including：Multiple process points are set in sample image, set a property information for each process points；Import and store processing model corresponding to each attribute information；The pending image that client is sent is received, multiple process points are provided with the pending image；Obtain the attribute information of each process points in the pending image, by each attribute information respectively with the sample The attribute information of image is matched, searched according to the attribute information matched from the import modul corresponding to handle mould Type；The process points in the pending image are handled according to the processing model.
- 5. a kind of image processing method according to claim 4, it is characterised in that the processing model is by multiple figures Manage step composition.
- 6. a kind of image processing method according to claim 4, it is characterised in that the graphics process step is lightness One kind in processing, toning processing and Fuzzy Processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711165078.9A CN107886527A (en) | 2017-11-21 | 2017-11-21 | A kind of image processing system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711165078.9A CN107886527A (en) | 2017-11-21 | 2017-11-21 | A kind of image processing system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107886527A true CN107886527A (en) | 2018-04-06 |
Family
ID=61778253
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711165078.9A Pending CN107886527A (en) | 2017-11-21 | 2017-11-21 | A kind of image processing system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107886527A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110120024A (en) * | 2019-05-20 | 2019-08-13 | 百度在线网络技术（北京）有限公司 | Method, apparatus, equipment and the storage medium of image procossing |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1965365A (en) * | 2004-06-11 | 2007-05-16 | 索尼株式会社 | Data processing device, data processing method, program, program recording medium, data recording medium, and data structure |
| CN1971616A (en) * | 2005-11-23 | 2007-05-30 | 索诺塞特公司 | Multi-resolution adaptive filtering |
| CN104700442A (en) * | 2015-03-30 | 2015-06-10 | 厦门美图网科技有限公司 | Image processing method and system for automatic filter and character adding |
| CN105474166A (en) * | 2013-03-15 | 2016-04-06 | 先进元素科技公司 | Methods and systems for purposeful computing |
| US20160314379A1 (en) * | 2015-04-27 | 2016-10-27 | Sony Corporation | Method and system for processing one or more multi-channel images |
| CN107247965A (en) * | 2017-05-31 | 2017-10-13 | 安徽四创电子股份有限公司 | A kind of distorted image processing method and system based on Adaptive matching and study |
| US10395380B2 (en) * | 2014-07-16 | 2019-08-27 | Canon Kabushiki Kaisha | Image processing apparatus, image processing method, and storage medium |
-
2017
- 2017-11-21 CN CN201711165078.9A patent/CN107886527A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1965365A (en) * | 2004-06-11 | 2007-05-16 | 索尼株式会社 | Data processing device, data processing method, program, program recording medium, data recording medium, and data structure |
| CN1971616A (en) * | 2005-11-23 | 2007-05-30 | 索诺塞特公司 | Multi-resolution adaptive filtering |
| CN105474166A (en) * | 2013-03-15 | 2016-04-06 | 先进元素科技公司 | Methods and systems for purposeful computing |
| US10395380B2 (en) * | 2014-07-16 | 2019-08-27 | Canon Kabushiki Kaisha | Image processing apparatus, image processing method, and storage medium |
| CN104700442A (en) * | 2015-03-30 | 2015-06-10 | 厦门美图网科技有限公司 | Image processing method and system for automatic filter and character adding |
| US20160314379A1 (en) * | 2015-04-27 | 2016-10-27 | Sony Corporation | Method and system for processing one or more multi-channel images |
| CN107247965A (en) * | 2017-05-31 | 2017-10-13 | 安徽四创电子股份有限公司 | A kind of distorted image processing method and system based on Adaptive matching and study |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110120024A (en) * | 2019-05-20 | 2019-08-13 | 百度在线网络技术（北京）有限公司 | Method, apparatus, equipment and the storage medium of image procossing |
| US11645735B2 (en) | 2019-05-20 | 2023-05-09 | Baidu Online Network Technology (Beijing) Co., Ltd. | Method and apparatus for processing image, device and computer readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105468742B (en) | The recognition methods of malice order and device | |
| CN107590174B (en) | Page access method and device | |
| CN104281664B (en) | Distributed figure computing system data segmentation method and system | |
| US11100073B2 (en) | Method and system for data assignment in a distributed system | |
| CN108009147B (en) | Electronic book cover generation method, electronic device and computer storage medium | |
| CN108256532A (en) | Image processing method, device, electronic equipment and storage medium | |
| CN105404627A (en) | Method and device for determining search result | |
| CN102822822A (en) | Image management device, image management method, program, recording medium, and integrated circuit | |
| CN106156070A (en) | A kind of querying method, Piece file mergence method and relevant apparatus | |
| CN107169803A (en) | A kind of method, system and device, server for generating reward voucher in advance | |
| CN104462396A (en) | Method and device for handing character strings | |
| WO2016113648A1 (en) | Database statistical histogram forecasting | |
| CN113609345B (en) | Target object association method and device, computing equipment and storage medium | |
| CN106610920A (en) | Method and device for displaying data chart | |
| CN107886527A (en) | A kind of image processing system and method | |
| CN108460038A (en) | Rule matching method and its equipment | |
| CN107909628A (en) | A kind of word processor and method | |
| CN108121712B (en) | Keyword storage method and device | |
| US9785678B1 (en) | Determining taxonomy nodes for browsing | |
| JP2014164499A (en) | Image classification device and image classification program | |
| CN108108379A (en) | Keyword opens up the method and device of word | |
| CN113112084B (en) | Training plane rear body research and development flow optimization method and device | |
| CN113742485A (en) | Method and device for processing text | |
| CN107911459A (en) | A kind of Web page storage device | |
| CN108021548A (en) | A kind of recognition methods of affective characteristics and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180406 |
|
| RJ01 | Rejection of invention patent application after publication |