CN109801287A - A kind of labeling damage testing method based on template matching and image quality measure - Google Patents
A kind of labeling damage testing method based on template matching and image quality measure Download PDFInfo
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Abstract
The present invention relates to labeling damage testing technical fields, especially a kind of labeling damage testing method based on template matching and image quality measure, S1: terminal display module is electrically connected by communication module and server module first, S2: server module is electrically connected by information transmission modular and image capture module, S3: image storage module is electrically connected on the image capture module of setting, S4: image analysis module is electrically connected on the image storage module of setting, S5: server module is electrically connected by information transmission modular and database module, S6: Template Information module is electrically connected in the database module of setting, S7: information extraction modules are electrically connected in the Template Information module of setting, S8: letter is electrically connected with by information transmission modular on server module Breath matching mould.The present invention can carry out comparison one by one by information matches module, so that detection is more quickly and accurate.
Description
Technical field
The present invention relates to labeling damage testing technical fields, more particularly to one kind to be based on template matching and image quality measure
Labeling damage testing method.
Background technique
With the development of industrialization technology, people are higher and higher for the quality requirement of product, however traditional labeling is broken
Damage detection still based on visual inspection, this detection method there is: human eye for a long time observation fatiguability cause missing inspection,
The problems such as inefficiency, high labor cost, this is extremely uncoordinated with large-scale industrial production, the image detection based on machine vision
Algorithm has good development prospect, and benefit can carry out labeling defects detection automatically, effectively solve the problems, such as this.For this purpose, we
Propose a kind of labeling damage testing method based on template matching and image quality measure.
Summary of the invention
The purpose of the present invention is to solve disadvantage existing in the prior art, and the one kind proposed be based on template matching with
The labeling damage testing method of image quality measure.
To achieve the goals above, present invention employs following technical solutions:
Design a kind of labeling damage testing method based on template matching and image quality measure, comprising the following steps:
S1: terminal display module is electrically connected by communication module and server module first, the service of setting
The data of processing are transmitted to terminal display module by communication module by device module, and are shown by terminal display module,
Reading of the monitoring personnel to data is facilitated, by the display of computer, enables staff in real time to the letter of detection
Breath and process are observed, and the efficiency of detection is improved；
S2: server module is electrically connected by information transmission modular and image capture module, and the image of setting is adopted
Collecting module includes camera terminal, by the shooting of camera terminal, the acquisition of image is carried out to the labeling detected, is passed through
The acquisition of the pictorial information of multiple groups, can be respectively to accurately being extracted the member for needing contrasting detection in every picture information
Element so that the result of detection is more accurate, and by the extraction of different pictures, while increasing the quantity of sampling, prevents one
Inaccuracy caused by secondary shooting, so that detection is ineffective；
S3: image storage module is electrically connected on the image capture module of setting, after image capture module is acquired
Picture, stored by the image storage module of setting, and shoot pictorial information be marked, for pictorial information analyze
It uses, is grouped label, extraction when facilitating detection to pictorial information, different picture label corresponds to the inspection of disparity items
It surveys, improves the efficiency of detection and improve the accuracy of detection；
S4: image analysis module is electrically connected on the image storage module of setting, and the image analysis module being arranged can
The picture stored by image storage module is analyzed, classification processing can be carried out to the picture being marked by rising, and
Secondary label is carried out to the information for carrying out classification, the comparison for pictorial information uses；
S5: server module is electrically connected by information transmission modular and database module, the database mould of setting
It is stored with the normal data for carrying out detection comparison in block, can be provided by the extraction to normal data when comparing
The parameter of comparison improves the efficiency of monitoring；
S6: being electrically connected with Template Information module in the database module of setting, from database module propose need into
The detection project that row compares, and Template Information is generated, for being compared when detection；
S7: information extraction modules are electrically connected in the Template Information module of setting, pass through the information extraction modules of setting
To the comparative information that is generated in Template Information module carry out by extraction, and carry out contrasting detection one by one, and then improve inspection
The efficiency of survey；
S8: information matches module, the information matches of setting are electrically connected with by information transmission modular on server module
The Template Information provided in collected pictorial information and database module is compared module, and then realizes labeling breakage
It detects, information storage module is electrically connected in information matches module, the information storage module of setting carries out the data of comparison
Unified classification and preservation.
Preferably, in step S1, terminal display module is computer.
Preferably, in step S2, image capture module carries out multiple photograph taking by camera terminal, can be realized more
The shooting of group pictorial information.
Preferably, in step S3, to the label that the pictorial information of shooting is classified, and by the picture of shooting according to shooting
Sequence be successively grouped label, for detection need use.
Preferably, in step S4, two deutero-albumoses for successively carrying out different classifications are carried out to the picture after once being marked excessively
Note, wherein classification includes: labeling text information, labeling material, labeling color, labeling folding line, labeling spot, labeling impression, mark
Appropriateness is cut, and the information of appeal is successively carried out secondary label on the multiple groups picture of shooting.
Preferably, in step S6, when being detected, extracted from database module labeling text information, labeling material,
The information that labeling color, labeling folding line, labeling spot, labeling impression, labeling are cut, and generate the Template Information that comparison needs.
A kind of labeling damage testing method based on template matching and image quality measure proposed by the present invention, beneficial effect
Be: the information coordinate compared and contrast mould's information for the needs that the present invention produces are transmitted by information respectively
On module transfer to server module, and by carrying out comparison one by one in information matches module, the result after comparing can
It is shown by terminal display module, underproof project carries out abnormal label for by the processing of server module
Processing, so can defective item to labeling into detailed display and prompting so that the process of detection is more quickly and essence
It is quasi-.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.
A kind of labeling damage testing method based on template matching and image quality measure, comprising the following steps:
S1: terminal display module is electrically connected by communication module and server module first, the service of setting
The data of processing are transmitted to terminal display module by communication module by device module, and are shown by terminal display module,
Reading of the monitoring personnel to data is facilitated, terminal display module is computer, by the display of computer, so that staff
The information of detection and process can be observed in real time, improve the efficiency of detection；
S2: server module is electrically connected by information transmission modular and image capture module, and the image of setting is adopted
Collecting module includes camera terminal, and by the shooting of camera terminal, the acquisition of image, image are carried out to the labeling detected
Acquisition module carries out multiple photograph taking by camera terminal, and the shooting of multiple groups pictorial information can be realized, pass through multiple groups
The acquisition of pictorial information can make respectively to the element for needing contrasting detection is accurately extracted in every picture information
The result that must be detected is more accurate, and by the extraction of different pictures, while increasing the quantity of sampling, prevents from once shooting
Caused inaccuracy, so that detection is ineffective；
S3: image storage module is electrically connected on the image capture module of setting, after image capture module is acquired
Picture, stored by the image storage module of setting, and shoot pictorial information be marked, for pictorial information analyze
It uses, is successively grouped to the label that the pictorial information of shooting is classified, and by the picture of shooting according to the sequence of shooting
Label is grouped label for the use that detection needs, extraction when facilitating detection to pictorial information, different picture marks
The detection of number corresponding disparity items, improves the efficiency of detection and improves the accuracy of detection；
S4: image analysis module is electrically connected on the image storage module of setting, and the image analysis module being arranged can
The picture stored by image storage module is analyzed, classification processing can be carried out to the picture being marked by rising, and
Secondary label is carried out to the information for carrying out classification, the comparison for pictorial information uses, to the picture after once being marked excessively
The secondary mark for successively carrying out different classifications is carried out, wherein classification includes: labeling text information, labeling material, labeling color, mark
Folding line, labeling spot, labeling impression, labeling cutting are pasted, and the information of appeal is successively carried out two on the multiple groups picture of shooting
Secondary label can be to the project detected to the pictorial information that is marked in step S3 and then secondary label
Carry out coordinate positioning, quick extraction can be realized when comparing detection so that detection processing efficient and orderly
Progress；
S5: server module is electrically connected by information transmission modular and database module, the database mould of setting
It is stored with the normal data for carrying out detection comparison in block, can be provided by the extraction to normal data when comparing
The parameter of comparison improves the efficiency of monitoring；
S6: being electrically connected with Template Information module in the database module of setting, from database module propose need into
The detection project that row compares, and Template Information is generated, for being compared when detection, when being detected, mentioned from database module
The information that labeling text information, labeling material, labeling color, labeling folding line, labeling spot, labeling impression, labeling are cut is taken out,
And generate the Template Information that comparison needs；
S7: information extraction modules are electrically connected in the Template Information module of setting, pass through the information extraction modules of setting
To the comparative information that is generated in Template Information module carry out by extraction, and carry out contrasting detection one by one, and then improve inspection
The efficiency of survey；
S8: information matches module, the information matches of setting are electrically connected with by information transmission modular on server module
The Template Information provided in collected pictorial information and database module is compared module, and then realizes labeling breakage
It detects, the contrast mould's information generated in the information coordinate compared and step S6 of the needs generated in step S4, point
It is not transmitted on server module by information transmission modular, and by carrying out comparison one by one in information matches module, carried out
Result after comparison can be shown by terminal display module, underproof project by by the processing of server module, and
Carry out abnormal label processing, so can defective item to labeling into detailed display and prompting so that the process of detection
It is more quickly and accurate, information storage module is electrically connected in information matches module, the information storage module of setting will be right
The data of ratio carry out unified classification and preservation.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (6)
1. a kind of labeling damage testing method based on template matching and image quality measure, which is characterized in that including following step
It is rapid:
Terminal display module: being electrically connected by S1 by communication module and server module first, the server mould of setting
The data of processing are transmitted to terminal display module by communication module by block, and are shown by terminal display module, convenient
Reading of the monitoring personnel to data, by the display of computer, enable staff in real time to the information of detection and
Process is observed, and the efficiency of detection is improved；
S2: server module is electrically connected by information transmission modular and image capture module, the Image Acquisition mould of setting
Block includes camera terminal, by the shooting of camera terminal, the acquisition of image is carried out to the labeling detected, passes through multiple groups
Pictorial information acquisition, can respectively to accurately being extracted the element for needing contrasting detection in every picture information,
So that the result of detection is more accurate, and by the extraction of different pictures, while the quantity of sampling is increased, prevents from once clapping
Caused inaccuracy is taken the photograph, so that detection is ineffective；
S3: being electrically connected with image storage module on the image capture module of setting, image capture module be acquired after figure
Piece is stored by the image storage module of setting, and the pictorial information shot is marked, and is made for pictorial information analysis
With being grouped label, extraction when facilitating detection to pictorial information, different picture label corresponds to the inspection of disparity items
It surveys, improves the efficiency of detection and improve the accuracy of detection；
S4: image analysis module is electrically connected on the image storage module of setting, and the image analysis module being arranged can be to warp
It crosses the picture that image storage module is stored to be analyzed, the picture that is marked can be carried out classification processing by rising, and to doing
The information classified well carries out secondary label, and the comparison for pictorial information uses；
S5: server module is electrically connected by information transmission modular and database module, in the database module of setting
It is stored with the normal data for carrying out detection comparison, can obtain and comparison is provided by the extraction to normal data when comparing
Parameter, improve the efficiency of monitoring；
S6: being electrically connected with Template Information module in the database module of setting, proposes to be compared from database module
Pair detection project, and Template Information is generated, for being compared when detection；
S7: information extraction modules are electrically connected in the Template Information module of setting, by the information extraction modules of setting to mould
The comparative information that is generated on plate information module carry out by extraction, and carry out contrasting detection one by one, and then improve detection
Efficiency；
S8: information matches module, the information matches module of setting are electrically connected with by information transmission modular on server module
The Template Information provided in collected pictorial information and database module is compared, and then realizes the inspection of labeling breakage
It surveys, is electrically connected with information storage module in information matches module, the information storage module of setting unites the data of comparison
One classification and preservation.
2. a kind of labeling damage testing method based on template matching and image quality measure according to claim 1,
It is characterized in that, in step S1, terminal display module is computer.
3. a kind of labeling damage testing method based on template matching and image quality measure according to claim 1,
It is characterized in that, in step S2, image capture module carries out multiple photograph taking by camera terminal, and multiple groups picture can be realized
The shooting of information.
4. a kind of labeling damage testing method based on template matching and image quality measure according to claim 1,
It is characterized in that, in step S3, to the label that the pictorial information of shooting is classified, and by the picture of shooting according to the sequence of shooting
It is successively grouped label, the use needed for detection.
5. a kind of labeling damage testing method based on template matching and image quality measure according to claim 1,
It is characterized in that, in step S4, the secondary mark for successively carrying out different classifications is carried out to the picture after once being marked excessively, wherein
Classification include: labeling text information, labeling material, labeling color, labeling folding line, labeling spot, labeling impression, labeling cutting,
And the information of appeal is successively subjected to secondary label on the multiple groups picture of shooting.
6. a kind of labeling damage testing method based on template matching and image quality measure according to claim 1,
It is characterized in that, in step S6, when being detected, labeling text information, labeling material, labeling face is extracted from database module
The information that color, labeling folding line, labeling spot, labeling impression, labeling are cut, and generate the Template Information that comparison needs.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110544222A (en) * | 2019-09-05 | 2019-12-06 | 重庆瑞信展览有限公司 | Visual transmission image sharpening processing method and system |
| CN111008615A (en) * | 2019-12-25 | 2020-04-14 | 京能源深(苏州)能源科技有限公司 | Video monitoring-based method for inspecting surface pollution condition of roof photovoltaic module |
| CN111869532A (en) * | 2020-07-16 | 2020-11-03 | 湖南人文科技学院 | Automatic orchid cultivation system and cultivation method |
| CN112861905A (en) * | 2020-12-31 | 2021-05-28 | 杭州金时科技有限公司 | Tree species classification platform based on internet |
| CN113670930A (en) * | 2021-07-30 | 2021-11-19 | 安徽吉厚智能科技有限公司 | Battery shell process detection system and method |
| CN114037096A (en) * | 2021-10-29 | 2022-02-11 | 河南格林循环电子废弃物处置有限公司 | Automatic household appliance identification and marking device and use method thereof |
| CN115017862A (en) * | 2022-07-01 | 2022-09-06 | 广东赛昉科技有限公司 | Integrated circuit image matching method and system |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050286799A1 (en) * | 2004-06-23 | 2005-12-29 | Jincheng Huang | Method and apparatus for converting a photo to a caricature image |
| CN102539443A (en) * | 2011-12-29 | 2012-07-04 | 天津普达软件技术有限公司 | Bottle body defect automatic detection device based on machine vision and method thereof |
| CN102590218A (en) * | 2012-01-16 | 2012-07-18 | 安徽中科智能高技术有限责任公司 | Device and method for detecting micro defects on bright and clean surface of metal part based on machine vision |
| US20160139140A1 (en) * | 2013-05-15 | 2016-05-19 | Electrophoretics Limited | Mass labels |
| CN105844231A (en) * | 2016-03-21 | 2016-08-10 | 西安银石科技发展有限责任公司 | Vehicle number identification control method during cargo inspection process |
| CN106202366A (en) * | 2016-07-07 | 2016-12-07 | 腾讯科技（深圳）有限公司 | A kind of image processing method, Apparatus and system |
| CN106952257A (en) * | 2017-03-21 | 2017-07-14 | 南京大学 | A kind of curved surface label open defect detection method based on template matches and Similarity Measure |
| CN107203990A (en) * | 2017-04-02 | 2017-09-26 | 南京汇川图像视觉技术有限公司 | A kind of labeling damage testing method based on template matches and image quality measure |
| CN107492091A (en) * | 2017-07-06 | 2017-12-19 | 东莞理工学院 | Label look detection method and terminal device based on machine vision |
| CN108355987A (en) * | 2018-01-08 | 2018-08-03 | 西安交通大学 | A kind of screen printing of battery quality determining method based on piecemeal template matches |
| CN108984776A (en) * | 2018-07-24 | 2018-12-11 | 广东金熙商业建设股份有限公司 | A kind of Weigh sensor system of automatically updated and accurate identification product |
-
2019
- 2019-01-30 CN CN201910092739.2A patent/CN109801287B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050286799A1 (en) * | 2004-06-23 | 2005-12-29 | Jincheng Huang | Method and apparatus for converting a photo to a caricature image |
| CN102539443A (en) * | 2011-12-29 | 2012-07-04 | 天津普达软件技术有限公司 | Bottle body defect automatic detection device based on machine vision and method thereof |
| CN102590218A (en) * | 2012-01-16 | 2012-07-18 | 安徽中科智能高技术有限责任公司 | Device and method for detecting micro defects on bright and clean surface of metal part based on machine vision |
| US20160139140A1 (en) * | 2013-05-15 | 2016-05-19 | Electrophoretics Limited | Mass labels |
| CN105844231A (en) * | 2016-03-21 | 2016-08-10 | 西安银石科技发展有限责任公司 | Vehicle number identification control method during cargo inspection process |
| CN106202366A (en) * | 2016-07-07 | 2016-12-07 | 腾讯科技（深圳）有限公司 | A kind of image processing method, Apparatus and system |
| CN106952257A (en) * | 2017-03-21 | 2017-07-14 | 南京大学 | A kind of curved surface label open defect detection method based on template matches and Similarity Measure |
| CN107203990A (en) * | 2017-04-02 | 2017-09-26 | 南京汇川图像视觉技术有限公司 | A kind of labeling damage testing method based on template matches and image quality measure |
| CN107492091A (en) * | 2017-07-06 | 2017-12-19 | 东莞理工学院 | Label look detection method and terminal device based on machine vision |
| CN108355987A (en) * | 2018-01-08 | 2018-08-03 | 西安交通大学 | A kind of screen printing of battery quality determining method based on piecemeal template matches |
| CN108984776A (en) * | 2018-07-24 | 2018-12-11 | 广东金熙商业建设股份有限公司 | A kind of Weigh sensor system of automatically updated and accurate identification product |
Non-Patent Citations (1)
| Title |
|---|
| 王立春;李强懿;阮航;: "一种基于图像匹配的公路破损标线检测方法" * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110544222A (en) * | 2019-09-05 | 2019-12-06 | 重庆瑞信展览有限公司 | Visual transmission image sharpening processing method and system |
| CN110544222B (en) * | 2019-09-05 | 2023-01-03 | 重庆瑞信展览有限公司 | Visual transmission image sharpening processing method and system |
| CN111008615A (en) * | 2019-12-25 | 2020-04-14 | 京能源深(苏州)能源科技有限公司 | Video monitoring-based method for inspecting surface pollution condition of roof photovoltaic module |
| CN111869532A (en) * | 2020-07-16 | 2020-11-03 | 湖南人文科技学院 | Automatic orchid cultivation system and cultivation method |
| CN112861905A (en) * | 2020-12-31 | 2021-05-28 | 杭州金时科技有限公司 | Tree species classification platform based on internet |
| CN112861905B (en) * | 2020-12-31 | 2024-03-01 | 杭州普睿益思信息科技有限公司 | Tree species classification platform based on internet |
| CN113670930A (en) * | 2021-07-30 | 2021-11-19 | 安徽吉厚智能科技有限公司 | Battery shell process detection system and method |
| CN114037096A (en) * | 2021-10-29 | 2022-02-11 | 河南格林循环电子废弃物处置有限公司 | Automatic household appliance identification and marking device and use method thereof |
| CN115017862A (en) * | 2022-07-01 | 2022-09-06 | 广东赛昉科技有限公司 | Integrated circuit image matching method and system |
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