CN103868935A - Cigarette appearance quality detection method based on computer vision - Google Patents
Cigarette appearance quality detection method based on computer vision Download PDFInfo
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Abstract
The invention discloses a cigarette appearance quality detection method based on computer vision. The cigarette appearance quality detection method comprises the steps of collecting a sample image in a certain light environment by a computer vision technology, and recognizing a defect type and a corresponding index from a cigarette image through necessary image preprocessing and image analysis, thereby finishing the detection on the cigarette appearance quality. The detection method provided by the invention serves as a new method for measuring appearance quality of to-be-detected cigarettes, is high in automation degree, and is small in personal error.
Description
Technical field
The present invention relates to cigarette quality detection method field, be specially a kind of cigarette appearance quality detection method based on computer vision.
Background technology
Cigarette product in process of production, owing to being infected with the reasons such as equipment ink, device friction or mechanical fault, often cause its surface to occur the quality problems such as stain (comprising foreign material, viscose glue, macula lutea, oil stain etc.), hole, steel seal defect (comprise bite, incomplete, color is fuzzy, position excursion, font are not inconsistent etc.), fold, distortion, aberration, all nonproductive deviations that require in cigarette surface that the type problem and other reasons cause are referred to as cigarette Appearance quality defect.Cigarette Appearance quality defect is the remarkable open defect of cigarette product, for controlling this mass defect, and the increasing essential items for inspection using this index as finished cigarettes quality inspection of tobacco productive corporation.This patent, based on computer vision technique, proposes a kind of cigarette appearance quality detection method.
There is photo-electric and image method principle cigarette detector in existing market, only limits to the quality problems such as nominal, scarce of detection in succession, is not proper Appearance quality defect.Really part instrument can detect the cigarette such as steel seal, stain defect, but the type instrument had not both been considered the singularity of cigarette spatial structure, also cannot comprehensive detection goes out all Appearance quality defects of cigarette.
Summary of the invention
The object of this invention is to provide a kind of cigarette appearance quality detection method based on computer vision, the problem existing to solve prior art.
In order to achieve the above object, the technical solution adopted in the present invention is:
Cigarette appearance quality detection method based on computer vision, is characterized in that: comprise the following steps:
(1), Image Acquisition: by cigarette to be measured be placed in the larger measuring table of cigarette color distortion to be measured on, stable, uniformly under lighting environment, obtain the image of cigarette to be measured by single or multiple cameras, and the image collecting be sent to computing machine;
(2), image processing: utilize image processing algorithm in computing machine, the cigarette image to be measured obtaining is carried out to image to be processed early stage, then utilize projection relation to carry out dimension conversion, obtain the expansion planimetric map of part cigarette to be measured, finally, based on cigarette surface information to be measured, obtain the plane outspread drawing of overall cigarette to be measured by image registration, Image Mosaics and image fusion technology;
(3), graphical analysis and identification: the plane outspread drawing of the entirety cigarette to be measured that step (2) is obtained, in computing machine by artificial intelligence and mode identification technology, analyze color, texture, the shape information of cigarette surf zone to be measured and set up model of cognition, and automatic discrimination defect type and parameter index, finally identify the appearance quality of cigarette to be measured.
The described cigarette appearance quality detection method based on computer vision, is characterized in that: in described step (1), each camera is equipped with exclusive lighting source according to condition.
The described cigarette appearance quality detection method based on computer vision, is characterized in that: in described step (2) image process early stage comprise that denoising, filtering, distortion correction, curvature of field reduction, cutting, rotation, stretching, brightness correction, color conversion, image are cut apart, resolution adjustment, binaryzation, image connectivity, zone marker, profile extract.
The described cigarette appearance quality detection method based on computer vision, is characterized in that: in described step (2), cigarette surface information to be measured refers to cigarette to be measured surface steel seal, character information.
The described cigarette appearance quality detection method based on computer vision, is characterized in that: in described step (3), artificial intelligence and mode identification technology comprise that template matches, Blob analyze, OCR identifies, machine learning.
The described cigarette appearance quality detection method based on computer vision, is characterized in that: in described step (3), the appearance quality of cigarette to be measured refers to stain, hole, steel seal defect, fold, distortion, the aberration of cigarette outward appearance to be measured.
The inventive method is based on computer vision technique, for the cigarette sample image to be measured obtaining under particular light condition, utilize its surface information feature to carry out space projection conversion, obtain cigarette periphery stretch-out view to be measured, again by analyzing the quality index such as stretch-out view rib-loop color, steel seal information, stain size, plication region, product batch number, judge its defect type and grade, thereby comprehensively realize the automatic identification of cigarette quality defect to be measured, mainly comprise Image Acquisition, image processing, graphical analysis and identification.
Principle of work of the present invention is as follows:
The present invention obtains cigarette image information to be measured under specific lighting condition, obtains cigarette image to be measured to be analyzed by Image Pretreatment Algorithm, obtains the plane outspread drawing of complete cigarette through dimension conversion and Image Mosaics.The information such as the color of ultimate analysis cigarette surf zone to be measured, texture, shape, utilize the image recognition technology such as machine learning and pattern-recognition, realize cigarette open defect kind classification to be measured and corresponding index and export.
The detection method that the present invention proposes provides a kind of new measurement means for the mensuration of cigarette Appearance quality defect to be measured, and automaticity is high, personal error is little.
Computer vision technique of the present invention, mainly comprises computer technology, digital imaging technology, image processing techniques, image analysis technology, image measurement technology.This technology is by the testing image of input, and a series of processing processing of process, and information extraction, export the interested information of user, with the object that reaches identification or measure, has intellectuality, efficiency advantages of higher.When the present invention is used for cigarette appearance quality detection, without human intervention, can automatically realize quick, the Measurement accuracy of defect type and corresponding index, solve the practical problems in cigarette appearance quality detection.
Accompanying drawing explanation
Fig. 1 is information processing transmission block diagram.
Fig. 2 is graphical analysis theory diagram.
Embodiment
Cigarette appearance quality detection method based on computer vision, is characterized in that: comprise the following steps:
(1), Image Acquisition: by cigarette to be measured be placed in the larger measuring table of cigarette color distortion to be measured on, stable, uniformly under lighting environment, obtain the image of cigarette to be measured by single or multiple cameras, and the image collecting be sent to computing machine;
(2), image processing: utilize image processing algorithm in computing machine, the cigarette image to be measured obtaining is carried out to image to be processed early stage, then utilize projection relation to carry out dimension conversion, obtain the expansion planimetric map of part cigarette to be measured, finally, based on cigarette surface information to be measured, obtain the plane outspread drawing of overall cigarette to be measured by image registration, Image Mosaics and image fusion technology;
(3), graphical analysis and identification: the plane outspread drawing of the entirety cigarette to be measured that step (2) is obtained, in computing machine by artificial intelligence and mode identification technology, analyze color, texture, the shape information of cigarette surf zone to be measured and set up model of cognition, and automatic discrimination defect type and parameter index, finally identify the appearance quality of cigarette to be measured.
In step (1), each camera is equipped with exclusive lighting source according to condition.
In step (2) image process early stage comprise that denoising, filtering, distortion correction, curvature of field reduction, cutting, rotation, stretching, brightness correction, color conversion, image are cut apart, resolution adjustment, binaryzation, image connectivity, zone marker, profile extract.
In step (2), cigarette surface information to be measured refers to cigarette to be measured surface steel seal, character information.
In step (3), artificial intelligence and mode identification technology comprise that template matches, Blob analyze, OCR identifies, machine learning.
In step (3), the appearance quality of cigarette to be measured refers to stain, hole, steel seal defect, fold, distortion, the aberration of cigarette outward appearance to be measured.
Technical scheme for a better understanding of the present invention, is further described below with reference to embodiment (accompanying drawing).
Information processing transmission block diagram in the present invention as shown in Figure 1.The image collecting device that CCD camera and supporting light source are this method, is obtained testing sample digital picture and is transferred to the detection software in computing machine by this device, after above-mentioned image algorithm analysis, provides testing result.
Graphical analysis theory diagram in the present invention as shown in Figure 2.Being specifically described as follows of this step: 1) by denoising, filtering, distortion correction, curvature of field reduction, cutting, rotation, stretching, brightness correction, color conversion, image cut apart, image pre-processing method optimization, enhancing, recovery, the rectification original image information such as resolution adjustment, binaryzation, image connectivity, zone marker, profile extraction; 2) projection relation to plane according to the face of cylinder, the two dimensional image of stretching cigarette, reduction three dimensional practicality is to compressed image detail in two-dimensional imaging process, obtain the unfolded image of part cigarette, finally, based on information such as cigarette surface steel seal, character, rib-loops, obtain the plane outspread drawing of overall cigarette by image registration, Image Mosaics and image fusion technology; 3) utilize the intelligent identification technologies such as template matches, Blob analysis, OCR identification, machine learning, analyze
The characteristic informations such as the color of cigarette stretch-out view surf zone, texture, shape, set up pattern recognition model, and automatic discrimination defect type and parameter index.
Claims (6)
1. the cigarette appearance quality detection method based on computer vision, is characterized in that: comprise the following steps:
(1), Image Acquisition: by cigarette to be measured be placed in the larger measuring table of cigarette color distortion to be measured on, stable, uniformly under lighting environment, obtain the image of cigarette to be measured by single or multiple cameras, and the image collecting be sent to computing machine;
(2), image processing: utilize image processing algorithm in computing machine, the cigarette image to be measured obtaining is carried out to image to be processed early stage, then utilize projection relation to carry out dimension conversion, obtain the expansion planimetric map of part cigarette to be measured, finally, based on cigarette surface information to be measured, obtain the plane outspread drawing of overall cigarette to be measured by image registration, Image Mosaics and image fusion technology;
(3), graphical analysis and identification: the plane outspread drawing of the entirety cigarette to be measured that step (2) is obtained, in computing machine by artificial intelligence and mode identification technology, analyze color, texture, the shape information of cigarette surf zone to be measured and set up model of cognition, and automatic discrimination defect type and parameter index, finally identify the appearance quality of cigarette to be measured.
2. the cigarette appearance quality detection method based on computer vision according to claim 1, is characterized in that: in described step (1), each camera is equipped with exclusive lighting source according to condition.
3. the cigarette appearance quality detection method based on computer vision according to claim 1, is characterized in that: in described step (2) image process early stage comprise that denoising, filtering, distortion correction, curvature of field reduction, cutting, rotation, stretching, brightness correction, color conversion, image are cut apart, resolution adjustment, binaryzation, image connectivity, zone marker, profile extract.
4. the cigarette appearance quality detection method based on computer vision according to claim 1, is characterized in that: in described step (2), cigarette surface information to be measured refers to cigarette to be measured surface steel seal, character information.
5. the cigarette appearance quality detection method based on computer vision according to claim 1, is characterized in that: in described step (3), artificial intelligence and mode identification technology comprise that template matches, Blob analyze, OCR identifies, machine learning.
6. the cigarette appearance quality detection method based on computer vision according to claim 1, is characterized in that: in described step (3), the appearance quality of cigarette to be measured refers to stain, hole, steel seal defect, fold, distortion, the aberration of cigarette outward appearance to be measured.
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Cited By (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104132945A (en) * | 2014-08-12 | 2014-11-05 | 武汉华科喻德科技有限公司 | On-line surface quality visual inspection device for bar based on optical fiber conduction |
| CN104142349A (en) * | 2014-07-28 | 2014-11-12 | 云南省机械研究设计院 | Method for detecting heat sealing defects of external packaging transparent film |
| CN104992449A (en) * | 2015-08-06 | 2015-10-21 | 西安冉科信息技术有限公司 | Information identification and surface defect on-line detection method based on machine visual sense |
| CN105029691A (en) * | 2015-06-02 | 2015-11-11 | 国家烟草质量监督检验中心 | Three-dimensional reconstruction technique based method for detecting loose ends of cigarettes |
| CN105354855A (en) * | 2015-12-02 | 2016-02-24 | 湖南拓达结构监测技术有限公司 | High-rise structure appearance detection device and method |
| CN105728339A (en) * | 2016-02-05 | 2016-07-06 | 湖北工业大学 | Visual automatic detecting system for ceramic cartridge |
| CN105852202A (en) * | 2016-05-04 | 2016-08-17 | 成都贝森伟任科技有限责任公司 | Loose-end cigarette removing device |
| 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 |
| CN107156902A (en) * | 2017-07-07 | 2017-09-15 | 南京大树智能科技股份有限公司 | A kind of cigarette presentation quality on-line measuring device |
| CN107886500A (en) * | 2017-10-13 | 2018-04-06 | 北京邮电大学 | A kind of production monitoring method and system based on machine vision and machine learning |
| CN109003257A (en) * | 2018-06-14 | 2018-12-14 | 深圳市华汉伟业科技有限公司 | A kind of optical character verification method |
| CN109142393A (en) * | 2018-09-03 | 2019-01-04 | 佛亚智能装备（苏州）有限公司 | A kind of defect classification method, apparatus and system |
| CN109345513A (en) * | 2018-09-13 | 2019-02-15 | 红云红河烟草(集团)有限责任公司 | A kind of cigarette package defect inspection method with cigarette packet Attitude Calculation |
| CN109544541A (en) * | 2018-11-27 | 2019-03-29 | 云南大学 | Cigarette apparent flaws detection method and device |
| CN109827969A (en) * | 2019-01-28 | 2019-05-31 | 重庆中烟工业有限责任公司 | The rotary cigarette bore hole size detection device of negative-pressure adsorption |
| CN109856161A (en) * | 2019-01-28 | 2019-06-07 | 重庆中烟工业有限责任公司 | A kind of perforated tipping paper bore hole size detector |
| CN109856158A (en) * | 2019-01-28 | 2019-06-07 | 重庆中烟工业有限责任公司 | Perforated tipping paper hole situation batch detecting device |
| CN110169591A (en) * | 2019-04-26 | 2019-08-27 | 贵州中烟工业有限责任公司 | A kind of method of cigarette laser hole detection |
| CN110403232A (en) * | 2019-07-24 | 2019-11-05 | 浙江中烟工业有限责任公司 | A kind of cigarette quality detection method based on second level algorithm |
| CN110621984A (en) * | 2017-06-26 | 2019-12-27 | 美的集团股份有限公司 | Method and system for improving quality inspection |
| CN110658202A (en) * | 2019-09-30 | 2020-01-07 | 贵州航天云网科技有限公司 | Industrial component appearance defect detection method based on deep learning |
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| CN111189837A (en) * | 2020-01-08 | 2020-05-22 | 征图新视(江苏)科技股份有限公司 | Cigarette appearance online detection method and device |
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080094625A1 (en) * | 2006-09-21 | 2008-04-24 | Philip Morris Usa Inc. | Detection of nitrates from tobacco for correlation with the amount of tobacco-specific nitrosamines within the tobacco |
| CN102275657A (en) * | 2010-06-12 | 2011-12-14 | 中国科学院沈阳自动化研究所 | Device for online visual detection of apparent defects of strip cigarette |
| CN102436656A (en) * | 2011-09-05 | 2012-05-02 | 同济大学 | Animal-diversity monitoring method based on computer vision |
| CN102499471A (en) * | 2011-10-25 | 2012-06-20 | 中国电子科技集团公司第四十一研究所 | Cigarette loose-end detection method based on machine vision technology |
| CN102502000A (en) * | 2011-10-25 | 2012-06-20 | 中国电子科技集团公司第四十一研究所 | Method for detecting lack and upending of cigarettes in cigarette packet on basis of machine vision technology |
| CN102680498A (en) * | 2012-06-12 | 2012-09-19 | 江西中烟工业有限责任公司南昌卷烟厂 | Method for detecting integrity of concave pattern of cigarette filter tip |
| CN102697176A (en) * | 2012-06-23 | 2012-10-03 | 常德烟草机械有限责任公司 | Cigarette quality on-line detection device and detection method based on machine vision |
| WO2013059252A1 (en) * | 2011-10-17 | 2013-04-25 | R. J. Reynolds Tobacco Company | Cigarette package coding system and associated method |
| CN103385539A (en) * | 2013-08-02 | 2013-11-13 | 南京文采科技有限责任公司 | Single cigarette empty head detection method based on machine vision and special equipment |
| CN103559504A (en) * | 2013-11-04 | 2014-02-05 | 北京京东尚科信息技术有限公司 | Image target category identification method and device |
-
2014
- 2014-02-14 CN CN201410051902.8A patent/CN103868935A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080094625A1 (en) * | 2006-09-21 | 2008-04-24 | Philip Morris Usa Inc. | Detection of nitrates from tobacco for correlation with the amount of tobacco-specific nitrosamines within the tobacco |
| CN102275657A (en) * | 2010-06-12 | 2011-12-14 | 中国科学院沈阳自动化研究所 | Device for online visual detection of apparent defects of strip cigarette |
| CN102436656A (en) * | 2011-09-05 | 2012-05-02 | 同济大学 | Animal-diversity monitoring method based on computer vision |
| WO2013059252A1 (en) * | 2011-10-17 | 2013-04-25 | R. J. Reynolds Tobacco Company | Cigarette package coding system and associated method |
| CN102499471A (en) * | 2011-10-25 | 2012-06-20 | 中国电子科技集团公司第四十一研究所 | Cigarette loose-end detection method based on machine vision technology |
| CN102502000A (en) * | 2011-10-25 | 2012-06-20 | 中国电子科技集团公司第四十一研究所 | Method for detecting lack and upending of cigarettes in cigarette packet on basis of machine vision technology |
| CN102680498A (en) * | 2012-06-12 | 2012-09-19 | 江西中烟工业有限责任公司南昌卷烟厂 | Method for detecting integrity of concave pattern of cigarette filter tip |
| CN102697176A (en) * | 2012-06-23 | 2012-10-03 | 常德烟草机械有限责任公司 | Cigarette quality on-line detection device and detection method based on machine vision |
| CN103385539A (en) * | 2013-08-02 | 2013-11-13 | 南京文采科技有限责任公司 | Single cigarette empty head detection method based on machine vision and special equipment |
| CN103559504A (en) * | 2013-11-04 | 2014-02-05 | 北京京东尚科信息技术有限公司 | Image target category identification method and device |
Non-Patent Citations (4)
| Title |
|---|
| 张文等: "基于机器视觉的卷烟污点面积测量***设计", 《传感器与微***》 * |
| 李飞等: "基于机器视觉的卷烟接装纸测量***的设计", 《自动化与仪表》 * |
| 王传宇等: "采用全景技术的机器视觉测量玉米果穗考种指标", 《农业工程学报》 * |
| 董浩等: "基于机器视觉技术的烟用包装膜磨损程度测定方法", 《烟草工艺》 * |
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| CN109544541A (en) * | 2018-11-27 | 2019-03-29 | 云南大学 | Cigarette apparent flaws detection method and device |
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| CN109856158A (en) * | 2019-01-28 | 2019-06-07 | 重庆中烟工业有限责任公司 | Perforated tipping paper hole situation batch detecting device |
| CN109856161A (en) * | 2019-01-28 | 2019-06-07 | 重庆中烟工业有限责任公司 | A kind of perforated tipping paper bore hole size detector |
| CN109827969A (en) * | 2019-01-28 | 2019-05-31 | 重庆中烟工业有限责任公司 | The rotary cigarette bore hole size detection device of negative-pressure adsorption |
| CN110169591A (en) * | 2019-04-26 | 2019-08-27 | 贵州中烟工业有限责任公司 | A kind of method of cigarette laser hole detection |
| CN111972700A (en) * | 2019-05-22 | 2020-11-24 | 上海烟草集团有限责任公司 | Cigarette appearance detection method and device, equipment, system and medium thereof |
| CN110403232A (en) * | 2019-07-24 | 2019-11-05 | 浙江中烟工业有限责任公司 | A kind of cigarette quality detection method based on second level algorithm |
| CN110658202A (en) * | 2019-09-30 | 2020-01-07 | 贵州航天云网科技有限公司 | Industrial component appearance defect detection method based on deep learning |
| CN111189837B (en) * | 2020-01-08 | 2023-01-13 | 征图新视(江苏)科技股份有限公司 | Cigarette appearance online detection method and device |
| CN111189837A (en) * | 2020-01-08 | 2020-05-22 | 征图新视(江苏)科技股份有限公司 | Cigarette appearance online detection method and device |
| CN111402206A (en) * | 2020-02-27 | 2020-07-10 | 红云红河烟草(集团)有限责任公司 | Visual detection method and system for cigarette scraping |
| CN113269758A (en) * | 2021-05-28 | 2021-08-17 | 浙江中烟工业有限责任公司 | Cigarette appearance detection method and test device based on machine vision |
| CN116188475A (en) * | 2023-05-05 | 2023-05-30 | 德中(深圳)激光智能科技有限公司 | Intelligent control method, system and medium for automatic optical detection of appearance defects |
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