CN102378037A - Image test method of image acquisition device and image test device using same - Google Patents

Image test method of image acquisition device and image test device using same Download PDF

Info

Publication number
CN102378037A
CN102378037A CN2010102499209A CN201010249920A CN102378037A CN 102378037 A CN102378037 A CN 102378037A CN 2010102499209 A CN2010102499209 A CN 2010102499209A CN 201010249920 A CN201010249920 A CN 201010249920A CN 102378037 A CN102378037 A CN 102378037A
Authority
CN
China
Prior art keywords
image
sub
collection device
block
uniformity
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
Application number
CN2010102499209A
Other languages
Chinese (zh)
Inventor
吕思豪
余建男
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Primax Electronics Ltd
Original Assignee
Primax Electronics Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Primax Electronics Ltd filed Critical Primax Electronics Ltd
Priority to CN2010102499209A priority Critical patent/CN102378037A/en
Publication of CN102378037A publication Critical patent/CN102378037A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Investigating Or Analysing Biological Materials (AREA)

Abstract

The invention provides an image test method of an image acquisition device and an image test device using the image test method. The image test device is connected with the image acquisition device. The image test device comprises an image program, a multi-core processing unit and a memory unit. The image program is used for dividing main image information which is shot by the image acquisition device into a plurality of subsidiary image blocks, and transmitting each subsidiary image block to different threads; the multi-core processing unit is used for leading the threads to synchronously analyze the image quality of each subsidiary image block; and the memory unit is used for storing an analysis result of each subsidiary image block, wherein the analysis result of each subsidiary image block is merged by the multi-core processing unit to obtain the image quality of the main image information. Therefore, the image analysis efficiency can be improved, and the production efficiency and the reliability of the image acquisition device can be further improved by adopting the image test method and the image test device using the image test method.

Description

The video test equipment of the image test method of image collection device and this method of application
Technical field
The present invention relates to a kind of image test method of image collection device, and the video test equipment that uses this method.
Background technology
Making rapid progress of development in science and technology makes that the application of computer and peripheral commodity thereof is universal day by day, and wherein, image collection devices such as network camera or camera are widely used on computer, in order to the demand on the more convenient human lives.For instance, after the user is in harmony public or has a meeting, often need client or participant's business card be filed, with the convenient basic document that can search the client when getting in touch apace in the future.Therefore, the image collection device that utilizes on the notebook computer to be disposed is directly gathered the image of business card, and carries out the action that identification and data are filed immediately, can reach easily business card is given digitized purpose.In like manner, other file is photograph, credit card, fiscard, permit identification, envelope, postcard, ticket card, scratch paper, bookmark or the like for example, also all can gather image through the image collection device that carries easily.
All can shoot the good image of quality in order to ensure the employed image collection device of user, manufacturer can carry out image test to each image collection device before the commodity shipment, to promote the reliability of commodity.Therefore; In the production process of reality; The image collection device that each assembling is accomplished is taken some fixing resolution charts (pattern); And utilize video test equipment (like computer) and inner image software thereof that taken image is carried out image analysing computer, wherein, the content of image analysing computer comprises greasy dirt (blemish), stain (particle), shade (shading) and/or the uniformity (uniformity) in the detecting image; If there is the analysis result of the captured image of image collection device not reach the due quality standard of commodity shipment, then re-assemblies this image collection device or give it up.
Moreover; The video test equipment that tradition is produced line all be directly to the image collection device captured and whole image carry out image analysing computer; Yet along with science and technology shoots up, the captured image analytic degree that goes out of image collection device is increasingly high, makes the operand of video test equipment in the process of carrying out image analysing computer also increase thereupon; The mode of therefore, directly carrying out image analysing computer to whole image can make the flow process of image test expend many times.
In addition; There is prior art to propose the method for another kind of image test; It is earlier with the image collection device captured and whole image be divided into a plurality of sub-image blocks; Video test equipment carries out image analysing computer to these sub-image blocks more in regular turn; Remerge the image analysing computer result of each sub-image block at last and obtain the image quality of whole image, yet the mode of seriatim these sub-image blocks being carried out image analysing computer also can't effectively solve the too much problem of time consumption in the process of image test.
Summary of the invention
The technical problem that the present invention mainly solves is; To the above-mentioned deficiency that prior art exists, provide a kind of in the production line of image collection device the captured image of testing image harvester whether meet the image test method of shipment standard and adopt the video test equipment of this method with the operation efficiency that quickens image analysing computer.
The present invention solves the image test method that technical scheme that its technical problem adopts provides a kind of image collection device, and in order to obtain the image quality of a main image data, this method comprises:
(A) take a resolution chart and obtain this main image data;
(B) cutting apart this main image data is a plurality of sub-image blocks;
(C) image quality of each this sub-image block of Synchronization Analysis is to obtain the analysis result of each this sub-image block; And
(D) analysis result that merges each this sub-image block is to obtain the image quality of this main image data.
This step (C) may further comprise the steps:
(C1) transmit those sub-image blocks to different thread (thread);
(C2) utilize multithreading (multi-thread) to make those threads be synchronized execution; And
(C3) detect greasy dirt (blemish), stain (particle), shade (shading) and/or the uniformity (uniformity) of each this sub-image block and obtain the analysis result of this each sub-image block.
This uniformity (uniformity) is luminance uniformity or color uniformity.
Has overlapped zone between wantonly two adjacent these sub-image blocks in this step (B).
The present invention also provides a kind of video test equipment, and it is connected with an image collection device, and obtains the image quality of this main image data in order to analyze the captured main image data of this image collection device, and this video test equipment comprises:
Imaging application in order to should being divided into a plurality of sub-image blocks by main image data, and is sent to different thread (thread) with each this sub-image block;
Multinuclear heart processing unit is used so that those thread synchronization are performed the image quality with each this sub-image block of Synchronization Analysis; And
Memory cell is in order to store the analysis result of each this sub-image block;
Wherein, this multinuclear heart processing unit merges the analysis result of each this sub-image block in this memory cell and obtains the image quality of this main image data.
The image quality of each this sub-image block obtains through greasy dirt (blemish), stain (particle), shade (shading) and/or the uniformity (uniformity) of this sub-image block of detecting.
This uniformity (uniformity) is to be luminance uniformity or color uniformity.
Has overlapped zone between wantonly two adjacent these sub-image blocks.
This image collection device is a network camera.
Image test method of the present invention is carried out Synchronization Analysis to the sub-image block that is split to form by main image data; The corresponding video test equipment that adopts this image test method is then through this sub-image block that is split to form of multinuclear heart processing unit Synchronization Analysis; Reach the purpose that improves image analysing computer efficient, thereby can further improve the production efficiency and the reliability of image collection device.In addition, have overlapped zone between any two the adjacent sub-image blocks after this is cut apart, can avoid the situation that erroneous judgement takes place for the border of arbitrary sub-image block in the process of image analysing computer to occur.
Description of drawings
Fig. 1 is the calcspar of the video test equipment of the present invention's one preferred embodiment.
Fig. 2 is the flow chart of the image test method of the present invention's one preferable image collection device.
Fig. 3 is cut apart sketch map for the captured image data of image collection device of the present invention's one preferred embodiment.
Embodiment
See also Fig. 1, it is the calcspar of the video test equipment of the present invention's one preferred embodiment.In the production process of image collection device 2; Video test equipment 1 can be connected with the image collection device 2 that assembling is accomplished; And image collection device 2 can be taken some fixing resolution charts (pattern) and supply video test equipment 1 to analyze to obtain image data, can judge through the analysis result of video test equipment 1 whether image collection device 2 reaches the due quality standard of commodity shipment.Wherein, video test equipment 1 comprises imaging application 11, multinuclear heart processing unit 12 and memory cell 13, and in the present embodiment, video test equipment 1 is a computer, and image collection device 2 is a network camera, but not as limit.
Next invention spirit of the present invention is described, seen also Fig. 2 and Fig. 3, Fig. 2 is the flow chart of the image test method of the present invention's one preferable image collection device, and Fig. 3 is cut apart sketch map for the captured image data of image collection device of the present invention's one preferred embodiment.
Step S1 utilizes image collection device 2 shooting one resolution charts and obtains a main image data 3.
Step S2; Utilize imaging application 11 that main image data 3 is divided into a plurality of sub-image blocks 31 (ordering the block that is constituted by A point, C point, K point and I), 32 (ordering the block that is constituted by B point, D point, L point and J), 33 (ordering the block that is constituted by E point, G point, O point and M), 34 (ordering the block that is constituted by F point, H point, P point and N), and each sub-image block 31~34 is sent to different thread (thread); Wherein, each thread representing to its corresponding sub-image block task of carrying out image analysing computer, that is to say that each thread will be performed when entering into step S3, so that the sub-image block that is configured to is carried out image analysing computer.
Moreover; The situation that judge by accident easily on the border of arbitrary sub-image block 31~34 in the process of image analysing computer, imaging application 11 all have overlapped zone 35 carrying out can make when main image data 3 is cut apart between the wantonly two adjacent sub-image blocks.Certainly, the above is merely an embodiment, and the quantity of sub-image block and the setting of overlapping region can be carried out the variation design of any equalization by those of ordinary skills according to practical application request.
Step S3; The image quality of each sub-image block 31~34 utilize multinuclear heart processing unit 12 that each thread synchronization is performed so that can be analyzed synchronously; And then the image analysing computer result of each sub-image block of synchronization gain; In other words, the present invention utilizes multithreading (multi-thread) technology to make the analysis result of each sub-image block 31~34 in the same time, to obtain together.
In addition; The content of image analysing computer comprises greasy dirt (blemish), stain (particle), shade (shading) and/or the uniformity (uniformity) of detecting image block 31~34; The uniformity can be color uniformity or luminance uniformity, certainly, is that the detecting of greasy dirt, the detecting of stain, the detecting or the detecting of the uniformity of shade all have its corresponding detecting computational methods; Yet this should know for those of ordinary skills, promptly no longer gives unnecessary details at this.
Supplementary notes be, multithreading is meant and utilizes multinuclear heart processing unit 12 to have the ability of carrying out at least more than one thread in can be at one time, the defective that makes core processing unit in the past once only can carry out a thread is resolved.Therefore, the operation efficiency of above-mentioned various detecting computational methods also will significantly promote.
Step S4 utilizes the analysis result of each sub-image block 31~34 of memory cell 13 storage, and utilizes analysis result that multinuclear heart processing unit 12 merges each sub-image block 31~34 in the memory cell 13 to obtain the overall image quality of main image data 3.
Can know according to above description; The image test method of image collection device 2 of the present invention is different from that disposable main image data 3 to integral body carries out image analysing computer in the existing method; Or in regular turn a plurality of sub-image blocks 31~34 that are split to form by main image data 3 are carried out image analysing computer; But utilize mature multithreading to make video test equipment 1 can analyze the image data of these sub-image blocks 31~34 with the time; So can reduce the operation time of video test equipment 1, great help arranged for the production efficiency and the reliability of image collection device 2.
The above is merely preferred embodiment of the present invention, is not in order to limiting interest field of the present invention, and therefore all other do not break away from the equivalence of being accomplished under the disclosed spirit and change or modify, and all should be included in the interest field of the present invention.

Claims (9)

1. the image test method of an image collection device, in order to obtain the image quality of a main image data, it is characterized in that: this method comprises:
(A) take a resolution chart and obtain this main image data;
(B) cutting apart this main image data is a plurality of sub-image blocks;
(C) image quality of each this sub-image block of Synchronization Analysis is to obtain the analysis result of each this sub-image block; And
(D) analysis result that merges each this sub-image block is to obtain the image quality of this main image data.
2. the image test method of image collection device as claimed in claim 1 is characterized in that: this step (C) may further comprise the steps:
(C1) transmit those sub-image blocks to different thread;
(C2) utilize multithreading to make those threads be synchronized execution; And
(C3) detect greasy dirt, stain, shade and/or the uniformity of each this sub-image block and obtain the analysis result of this each sub-image block.
3. the image test method of image collection device as claimed in claim 2 is characterized in that: this uniformity is luminance uniformity or color uniformity.
4. the image test method of image collection device as claimed in claim 1 is characterized in that: have overlapped zone between wantonly two adjacent these sub-image blocks in this step (B).
5. video test equipment, it is connected with an image collection device, and obtains the image quality of this main image data in order to analyze the captured main image data of this image collection device, and it is characterized in that: this video test equipment comprises:
Imaging application in order to should being divided into a plurality of sub-image blocks by main image data, and is sent to different threads with each this sub-image block;
Multinuclear heart processing unit is used so that those thread synchronization are performed the image quality with each this sub-image block of Synchronization Analysis; And
Memory cell is in order to store the analysis result of each this sub-image block;
Wherein, this multinuclear heart processing unit merges the analysis result of each this sub-image block in this memory cell and obtains the image quality of this main image data.
6. video test equipment as claimed in claim 5 is characterized in that: the image quality of each this sub-image block obtains through greasy dirt, stain, shade and/or the uniformity of detecting this sub-image block.
7. video test equipment as claimed in claim 6 is characterized in that: this uniformity is luminance uniformity or color uniformity.
8. video test equipment as claimed in claim 5 is characterized in that: have overlapped zone between wantonly two adjacent these sub-image blocks.
9. video test equipment as claimed in claim 5 is characterized in that: this image collection device is a network camera.
CN2010102499209A 2010-08-04 2010-08-04 Image test method of image acquisition device and image test device using same Pending CN102378037A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010102499209A CN102378037A (en) 2010-08-04 2010-08-04 Image test method of image acquisition device and image test device using same

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010102499209A CN102378037A (en) 2010-08-04 2010-08-04 Image test method of image acquisition device and image test device using same

Publications (1)

Publication Number Publication Date
CN102378037A true CN102378037A (en) 2012-03-14

Family

ID=45795902

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010102499209A Pending CN102378037A (en) 2010-08-04 2010-08-04 Image test method of image acquisition device and image test device using same

Country Status (1)

Country Link
CN (1) CN102378037A (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104581149A (en) * 2015-01-27 2015-04-29 北京正奇联讯科技有限公司 Technical review method and system for video and audio files
CN104833678A (en) * 2014-02-11 2015-08-12 京元电子股份有限公司 Semiconductor element test system and image processing accelerating method thereof
CN105894491A (en) * 2015-12-07 2016-08-24 乐视云计算有限公司 Image high-frequency information positioning method and device
CN107027024A (en) * 2017-05-04 2017-08-08 山东浪潮商用***有限公司 A kind of set-top box test method and device
CN107396088A (en) * 2016-05-16 2017-11-24 北京小米移动软件有限公司 The method and device of test image quality
CN110300298A (en) * 2018-03-23 2019-10-01 致伸科技股份有限公司 Image acquiring module detection system and its method
CN111226437A (en) * 2018-11-27 2020-06-02 深圳市大疆创新科技有限公司 Method and device for evaluating shooting quality of shooting device and terminal equipment
CN111294589A (en) * 2017-04-08 2020-06-16 广东弘景光电科技股份有限公司 Camera module lens surface detection method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002251610A (en) * 2001-02-26 2002-09-06 Matsushita Electric Ind Co Ltd Parallel image processing device
CN1889667A (en) * 2006-07-26 2007-01-03 浙江大学 Video frequency signal multi-processor parallel processing method
CN1992916A (en) * 2005-12-28 2007-07-04 华晶科技股份有限公司 Method of detecting image definition
US20080134075A1 (en) * 2003-11-10 2008-06-05 Pannese Patrick D Methods and systems for controlling a semiconductor fabrication process
CN101282478A (en) * 2008-04-24 2008-10-08 上海华平信息技术股份有限公司 Method and system for implementing parallel encoding of high-definition video
CN101432775A (en) * 2006-04-28 2009-05-13 汤姆逊许可公司 Salience estimation for object-based visual attention model

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002251610A (en) * 2001-02-26 2002-09-06 Matsushita Electric Ind Co Ltd Parallel image processing device
US20080134075A1 (en) * 2003-11-10 2008-06-05 Pannese Patrick D Methods and systems for controlling a semiconductor fabrication process
CN1992916A (en) * 2005-12-28 2007-07-04 华晶科技股份有限公司 Method of detecting image definition
CN101432775A (en) * 2006-04-28 2009-05-13 汤姆逊许可公司 Salience estimation for object-based visual attention model
CN1889667A (en) * 2006-07-26 2007-01-03 浙江大学 Video frequency signal multi-processor parallel processing method
CN101282478A (en) * 2008-04-24 2008-10-08 上海华平信息技术股份有限公司 Method and system for implementing parallel encoding of high-definition video

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104833678A (en) * 2014-02-11 2015-08-12 京元电子股份有限公司 Semiconductor element test system and image processing accelerating method thereof
CN104581149A (en) * 2015-01-27 2015-04-29 北京正奇联讯科技有限公司 Technical review method and system for video and audio files
CN105894491A (en) * 2015-12-07 2016-08-24 乐视云计算有限公司 Image high-frequency information positioning method and device
CN107396088A (en) * 2016-05-16 2017-11-24 北京小米移动软件有限公司 The method and device of test image quality
CN111294589A (en) * 2017-04-08 2020-06-16 广东弘景光电科技股份有限公司 Camera module lens surface detection method
CN111294589B (en) * 2017-04-08 2021-08-24 广东弘景光电科技股份有限公司 Camera module lens surface detection method
CN107027024A (en) * 2017-05-04 2017-08-08 山东浪潮商用***有限公司 A kind of set-top box test method and device
CN110300298A (en) * 2018-03-23 2019-10-01 致伸科技股份有限公司 Image acquiring module detection system and its method
CN110300298B (en) * 2018-03-23 2020-10-16 致伸科技股份有限公司 Image acquisition module detection system and method thereof
CN111226437A (en) * 2018-11-27 2020-06-02 深圳市大疆创新科技有限公司 Method and device for evaluating shooting quality of shooting device and terminal equipment
WO2020107196A1 (en) * 2018-11-27 2020-06-04 深圳市大疆创新科技有限公司 Photographing quality evaluation method and apparatus for photographing apparatus, and terminal device

Similar Documents

Publication Publication Date Title
CN102378037A (en) Image test method of image acquisition device and image test device using same
CN109978931B (en) Three-dimensional scene reconstruction method and device and storage medium
Qadir et al. Surrey university library for forensic analysis (SULFA) of video content
CN106650662B (en) Target object shielding detection method and device
US20170109912A1 (en) Creating a composite image from multi-frame raw image data
CN105320695B (en) Picture processing method and device
US20140236980A1 (en) Method and Apparatus for Establishing Association
CN103024432B (en) Automatic efficient full-covering test method of over-the-ground visible light remote sensing satellite image data
US20170337222A1 (en) Image searching method and apparatus, an apparatus and non-volatile computer storage medium
CN110267008A (en) Image processing method, device, server and storage medium
JP2010244526A (en) Method, system, and computer program for automatic detection of collaborative content, and method and system for visualizing change over time of content
CN109241956A (en) Method, apparatus, terminal and the storage medium of composograph
CN103412954A (en) Virtual dynamic magazine using augmented reality technique
CN103247037A (en) Image processing method, device and electronic device
CN106327531B (en) The recognition methods of panoramic video and equipment play video method and equipment
WO2008111550A1 (en) Image analysis system and image analysis program
CN111914753A (en) Low-power-consumption intelligent gun aiming image processing system and method based on deep learning
CN103799997A (en) Physiological monitoring parameter recording method and system based on image recognition
CA3147418A1 (en) Living body detection method and system for human face by using two long-baseline cameras
CN107229887A (en) Multi-code scanning device and multi-code scan method
JP7419003B2 (en) Information display device, information display method, and information display system
US20160110909A1 (en) Method and apparatus for creating texture map and method of creating database
CN108682439A (en) A kind of method for recording and device of the source of houses introduction based on virtual three-dimensional space
CN111401206A (en) Panorama sharing method, system, device and medium
CN106682187A (en) Method and device for establishing image bottom libraries

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20120314