CN104142349A - Method for detecting heat sealing defects of external packaging transparent film - Google Patents
Method for detecting heat sealing defects of external packaging transparent film Download PDFInfo
- Publication number
- CN104142349A CN104142349A CN201410360400.3A CN201410360400A CN104142349A CN 104142349 A CN104142349 A CN 104142349A CN 201410360400 A CN201410360400 A CN 201410360400A CN 104142349 A CN104142349 A CN 104142349A
- Authority
- CN
- China
- Prior art keywords
- image
- transparent film
- heat sealing
- defect
- external packaging
- 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
Abstract
The invention discloses a method for detecting heat sealing defects of an external packaging transparent film. The heat sealing defects are detected through a non-contact digital image processing technology. The heat sealing face of the external packaging transparent film is converted to digital image information through a CCD camera; the image information is input to a computer for preprocessing; size adjustment and gray-scale processing are carried out, and a median filter is adopted for denoising; preprocessed images are segmented, a zero-defect original image serves as a tool image to carry out deduction operation on the segmented images, and a background image is removed; edge detection is carried out on defect characteristics in the images through a Roberts operator; an image defective region is marked through a BWlabel algorithm, and the number and area of the defect characteristics are counted through a Regionprops algorithm. The number and area of the defect characteristics extracted out according to image analysis are compared with the qualification standard, so that the effect of detecting the defects of the external packaging transparent film is achieved. The heat sealing defects of the external packaging transparent film are detected through a computer processing technology, and the method can be applied to a packaging production line for automatic detection.
Description
Technical field
The present invention relates to the detection technique field of product external packaging transparent membrane encapsulation defect, particularly relate to a kind of transparent membrane heat-sealing defects detection.
Background technology
Often there is encapsulation bubble, fold, the defect such as lax in product external packaging film, has a strong impact on the image of product.Because packing film transmittance is high, the existing artificial naked eyes detections that adopt, detect effect undesirable more, and operator's experience and technical ability impact are larger, cannot realize the heat-sealing defect of product external packaging film is carried out to robotization detection on automatic production line.
The existing detection technique adopting on film line is easily implemented in the time that reply single thin film carries out defects detection, but the defect condition of transparent membrane is difficult to realize automatic detection on the product that is printed with the picture character varying in color time for blister-pack, cause packing of product film heat-sealing quality to be difficult to control, easily occur that defective packages affects image product.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the present invention is directed to transparent film packaging defect and be difficult to the problem detecting, a kind of detection method that realizes robotization is proposed, this invention can be applied on automatic production line, and can reach higher Detection accuracy.
The technical solution adopted in the present invention is: CCD camera is installed on blister-pack production line, is captured the image of product film heat cover; Product external packaging film thermal surface plot picture is imported to graphics processing card, image is carried out to pre-service.
Use image analysis technology to carry out image recognition according to grey scale change in image, extract the defect characteristic in image.
Defect characteristic in image is added up and contrasted and determine that whether the package quality of product external packaging film is up to standard with standard, thereby realize the function of product on production line defects detection.
Compared with prior art, the invention has the beneficial effects as follows and can use computer technology and image processing techniques to realize the robotization that product defects detects; And be arranged in product line and replace artificial naked eyes to detect, effect is more stable and objective; Can carry out to production line operating mode the quality of real-time monitoring timely feedback adjusting thin-film package technological parameter and then raising product external packaging thin-film package.
Brief description of the drawings
Fig. 1 is structural representation of the present invention.
Fig. 2 is defect characteristic figure in the packing film image collecting.
Fig. 3 is the location map of the defect characteristic that extracts with the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described.The detection that adopts certain product capsule transparent membrane side face defects is that example illustrates the specific embodiment of the present invention.
As shown in Figure 1, the present invention adopts the CCD camera being arranged on production line to carry out information acquisition to the Wrapping films of product, the information collecting is converted into digital image information and inputs and in computing machine, carry out image processing.
Utilize the image processing toolbox of MATLAB to carry out image processing, first the digitized image collecting is carried out to pre-service, adjust picture size and carry out gray scale processing, and adopting filtering technique to carry out image noise reduction processing.
Select median filter to carry out denoising, the square window that filter window is 3 × 3.
Pretreated image carries out image to be cut apart, and is partitioned into effective characteristic information, and image is cut apart employing threshold segmentation technology, and partition threshold is set to 0.45.
The defect characteristic information and the part that in image after cutting apart, remain with film are packed background information, image is reduced to computing and reach the effect of removing background information.
Carry out as a setting the background information in image that difference operation subduction collects with the product surface image of film packaging, effect after treatment as shown in Figure 2.
Adopt Roberts operator to carry out rim detection for the feature of film defects, and image is carried out to feature recognition and extraction, utilize BWlabe to carry out mark to image deflects region, and extract with the defect characteristic that Region props crosses mark, extract quantity and the area of defect, the position distribution situation that obtains defect characteristic by centroid calculation formula as shown in Figure 3.
The method is utilized image processing techniques to carry out feature extraction and is carried out data processing by computer technology, extracts quantity, area and the positional information of defect and realizes the effect that product defects is detected by comparing with standard value.
Claims (3)
1. one kind is detected the method for external packing transparent membrane heat-sealing defect, it is characterized in that, detection method is as follows: (1) is taken external packing transparent membrane to be detected to be converted into digital picture with CCD camera, (2) the film surface image obtaining is carried out to pre-service: adjusted size, gray scale is processed and is carried out filtering processing, (3) pretreated image being carried out to image cuts apart, (4) as tool drawing picture, the image after cutting apart is reduced to computing with flawless former figure, eliminate background image, (5) adopt Roberts operator to carry out rim detection to the defect characteristic in image, (6) utilize BW label to carry out mark to image deflects region, carry out quantity and the area of statistical shortcomings feature with Regionprops, (7) quantity of the defect characteristic extracting according to graphical analysis and area and criterion of acceptability contrast reach the effect of external packing transparent membrane defects detection.
2. the detection method of a kind of external packing transparent membrane heat-sealing defect according to claim 1, is characterized in that: described filtering is processed and adopted the square window that median filter filter window is 3 × 3.
3. the detection method of a kind of external packing transparent membrane heat-sealing defect according to claim 1, is characterized in that: described image is cut apart employing threshold segmentation method, and partition threshold is 0.45.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410360400.3A CN104142349A (en) | 2014-07-28 | 2014-07-28 | Method for detecting heat sealing defects of external packaging transparent film |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410360400.3A CN104142349A (en) | 2014-07-28 | 2014-07-28 | Method for detecting heat sealing defects of external packaging transparent film |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104142349A true CN104142349A (en) | 2014-11-12 |
Family
ID=51851584
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410360400.3A Pending CN104142349A (en) | 2014-07-28 | 2014-07-28 | Method for detecting heat sealing defects of external packaging transparent film |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104142349A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105092473A (en) * | 2015-07-13 | 2015-11-25 | 武汉华星光电技术有限公司 | Polysilicon thin film quality detection method and system |
| CN105572137A (en) * | 2015-12-15 | 2016-05-11 | 重庆瑞阳科技股份有限公司 | Appearance defect test method |
| WO2016135664A3 (en) * | 2015-02-27 | 2016-10-20 | Pulsar S.R.L. | A unit for controlling or managing products. |
| CN108674026A (en) * | 2018-05-16 | 2018-10-19 | 苏州迈为科技股份有限公司 | Solar battery sheet press quality detection method and system |
| CN109580635A (en) * | 2018-12-03 | 2019-04-05 | 高佳太阳能股份有限公司 | A kind of diamond cut silicon wafer piece thickness ununiformity reason fast determination method |
| CN110211088A (en) * | 2019-04-16 | 2019-09-06 | 广州超音速自动化科技股份有限公司 | Improvement type diaphragm film-making automatic testing method, electronic equipment and storage medium |
| CN110738632A (en) * | 2019-09-04 | 2020-01-31 | 珠海格力电器股份有限公司 | Method, apparatus, computer device and medium for detecting display of panel pattern |
| CN111189844A (en) * | 2020-02-25 | 2020-05-22 | 威海远航科技发展股份有限公司 | Automatic detection system for packaging quality of venous blood taking needle |
| CN111562266A (en) * | 2020-05-19 | 2020-08-21 | 东莞市瑞图新智科技有限公司 | Package quality detection method and package quality detection device |
| CN112718530A (en) * | 2020-12-30 | 2021-04-30 | 马鞍山芯乔科技有限公司 | Soft package heat seal inspection mechanism and system thereof |
| CN113252695A (en) * | 2021-06-16 | 2021-08-13 | 上海启迪睿视智能科技有限公司 | Plastic packaging film defect detection method and detection device based on image processing |
| US11970298B2 (en) | 2015-02-27 | 2024-04-30 | Pulsar S.R.L. | Plant for processing products including a unit for detecting defective products |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5987159A (en) * | 1996-09-24 | 1999-11-16 | Cognex Corporation | System or method for detecting defect within a semi-opaque enclosure |
| CN101706447A (en) * | 2009-11-05 | 2010-05-12 | 浙江大学 | Method for detecting CCD marking defects at spherical opening of high-pressure natural gas bottle |
| CN102735695A (en) * | 2012-06-04 | 2012-10-17 | 华中科技大学 | Rapid lens flaw detection method and apparatus thereof |
| CN202916213U (en) * | 2012-11-16 | 2013-05-01 | 潍坊学院 | Gear defect detecting system based on computer vision |
| CN103456021A (en) * | 2013-09-24 | 2013-12-18 | 苏州大学 | Piece goods blemish detecting method based on morphological analysis |
| CN103512888A (en) * | 2013-06-05 | 2014-01-15 | 北京化工大学 | Cigarette packet seal defect detecting system based on image identification technology |
| CN103824059A (en) * | 2014-02-28 | 2014-05-28 | 东南大学 | Facial expression recognition method based on video image sequence |
| CN103868935A (en) * | 2014-02-14 | 2014-06-18 | 中国科学院合肥物质科学研究院 | Cigarette appearance quality detection method based on computer vision |
-
2014
- 2014-07-28 CN CN201410360400.3A patent/CN104142349A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5987159A (en) * | 1996-09-24 | 1999-11-16 | Cognex Corporation | System or method for detecting defect within a semi-opaque enclosure |
| CN101706447A (en) * | 2009-11-05 | 2010-05-12 | 浙江大学 | Method for detecting CCD marking defects at spherical opening of high-pressure natural gas bottle |
| CN102735695A (en) * | 2012-06-04 | 2012-10-17 | 华中科技大学 | Rapid lens flaw detection method and apparatus thereof |
| CN202916213U (en) * | 2012-11-16 | 2013-05-01 | 潍坊学院 | Gear defect detecting system based on computer vision |
| CN103512888A (en) * | 2013-06-05 | 2014-01-15 | 北京化工大学 | Cigarette packet seal defect detecting system based on image identification technology |
| CN103456021A (en) * | 2013-09-24 | 2013-12-18 | 苏州大学 | Piece goods blemish detecting method based on morphological analysis |
| CN103868935A (en) * | 2014-02-14 | 2014-06-18 | 中国科学院合肥物质科学研究院 | Cigarette appearance quality detection method based on computer vision |
| CN103824059A (en) * | 2014-02-28 | 2014-05-28 | 东南大学 | Facial expression recognition method based on video image sequence |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11142360B2 (en) | 2015-02-27 | 2021-10-12 | Pulsar S.R.L. | Unit for controlling or managing products |
| WO2016135664A3 (en) * | 2015-02-27 | 2016-10-20 | Pulsar S.R.L. | A unit for controlling or managing products. |
| EP3552980A3 (en) * | 2015-02-27 | 2019-12-11 | Pulsar S.r.l. | A unit for controlling or managing products |
| US10676223B2 (en) | 2015-02-27 | 2020-06-09 | Pulsar S.R.L. | Unit or an apparatus for controlling or managing products or rolls |
| US11970298B2 (en) | 2015-02-27 | 2024-04-30 | Pulsar S.R.L. | Plant for processing products including a unit for detecting defective products |
| US10906676B2 (en) | 2015-02-27 | 2021-02-02 | Pulsar S.R.L. | Plant for processing products including a unit for detecting defective products |
| CN105092473A (en) * | 2015-07-13 | 2015-11-25 | 武汉华星光电技术有限公司 | Polysilicon thin film quality detection method and system |
| CN105572137A (en) * | 2015-12-15 | 2016-05-11 | 重庆瑞阳科技股份有限公司 | Appearance defect test method |
| CN108674026A (en) * | 2018-05-16 | 2018-10-19 | 苏州迈为科技股份有限公司 | Solar battery sheet press quality detection method and system |
| CN109580635A (en) * | 2018-12-03 | 2019-04-05 | 高佳太阳能股份有限公司 | A kind of diamond cut silicon wafer piece thickness ununiformity reason fast determination method |
| CN110211088A (en) * | 2019-04-16 | 2019-09-06 | 广州超音速自动化科技股份有限公司 | Improvement type diaphragm film-making automatic testing method, electronic equipment and storage medium |
| CN110738632A (en) * | 2019-09-04 | 2020-01-31 | 珠海格力电器股份有限公司 | Method, apparatus, computer device and medium for detecting display of panel pattern |
| CN111189844A (en) * | 2020-02-25 | 2020-05-22 | 威海远航科技发展股份有限公司 | Automatic detection system for packaging quality of venous blood taking needle |
| CN111562266A (en) * | 2020-05-19 | 2020-08-21 | 东莞市瑞图新智科技有限公司 | Package quality detection method and package quality detection device |
| CN112718530A (en) * | 2020-12-30 | 2021-04-30 | 马鞍山芯乔科技有限公司 | Soft package heat seal inspection mechanism and system thereof |
| CN112718530B (en) * | 2020-12-30 | 2023-07-25 | 马鞍山芯乔科技有限公司 | Soft package heat seal inspection mechanism and system thereof |
| CN113252695A (en) * | 2021-06-16 | 2021-08-13 | 上海启迪睿视智能科技有限公司 | Plastic packaging film defect detection method and detection device based on image processing |
| CN113252695B (en) * | 2021-06-16 | 2021-09-28 | 上海启迪睿视智能科技有限公司 | Plastic packaging film defect detection method and detection device based on image processing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104142349A (en) | Method for detecting heat sealing defects of external packaging transparent film | |
| CN105044114B (en) | A kind of electrolytic capacitor appearance packaging defect image detecting system and method | |
| CN103310218B (en) | A kind of overlap blocks fruit precise recognition method | |
| WO2022027949A1 (en) | Machine vision-based detecting method and system for glass bottle bottom defects | |
| CN111310645B (en) | Method, device, equipment and storage medium for warning overflow bin of goods accumulation | |
| CN103439338A (en) | Classification method for film defects | |
| CN104574353B (en) | The surface defect decision method of view-based access control model conspicuousness | |
| CN108344743A (en) | One kind being based on machine vision drug blister package defect inspection method and system | |
| CN102020036A (en) | Visual detection method for transparent paper defect of outer package of strip cigarette | |
| CN105203552A (en) | 360-degree tread image detecting system and method | |
| CN103759644B (en) | A kind of separation refinement intelligent detecting method of optical filter blemish | |
| CN104408819A (en) | Detection method for adhesive tape on paper money | |
| CN105447512A (en) | Coarse-fine optical surface defect detection method and coarse-fine optical surface defect detection device | |
| CN103761743A (en) | Solid wood floor surface defect detecting method based on image fusion and division | |
| CN104361672A (en) | Method for detecting folded corners of paper money | |
| CN110032946B (en) | Aluminum/aluminum blister packaging tablet identification and positioning method based on machine vision | |
| CN107358270B (en) | Water seepage detection method and device for tunnel wall | |
| CN107490583A (en) | A kind of intermediate plate defect inspection method based on machine vision | |
| CN204789357U (en) | Electrolytic capacitor outward appearance packing defect image detection system | |
| CN114782475A (en) | Corrugated carton line pressing defect detection optimization method based on artificial intelligence system | |
| CN108663382A (en) | The method and device of the paper surface defects detection of view-based access control model conspicuousness | |
| CN104464078A (en) | Method and system for identifying damaged bank note through optical variability printing ink | |
| CN103345743A (en) | Image segmentation method for intelligent flaw detection of cell tail end | |
| CN107230200A (en) | A kind of method for extracting rotor coil contour feature | |
| CN102073872A (en) | Image-based method for identifying shape of parasite egg |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20141112 |
|
| WD01 | Invention patent application deemed withdrawn after publication |