A Study on the Detection of Jamming in Sealing Food Package by Image Processing -Detection of Jamming in Sealing Aluminum Vacuum Metallized Film Package-
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- Kubota Yosuke
- Graduate School of Science and Technology, Niigata University
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- Nakano Kazuhiro
- Graduate School of Science and Technology, Niigata University
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- Usui Yoshihiko
- Graduate School of Science and Technology, Niigata University
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- Sasaoka Kiyoshi
- Graduate School of Science and Technology, Niigata University
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- Noguchi Takayoshi
- Graduate School of Science and Technology, Niigata University
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- Honma Katsumi
- MHT Technical Center
Bibliographic Information
- Other Title
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- 画像処理による食品包装シール部の噛込み検出に関する研究―アルミ蒸着フィルム包装のシール部噛込みの検出―
- ガゾウ ショリ ニ ヨル ショクヒン ホウソウ シールブ ノ カミコミ ケンシュツ ニ カンスル ケンキュウ アルミ ジョウチャク フィルム ホウソウ ノ シールブ カミコミ ノ ケンシュツ
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Abstract
The purpose of this study is to detect jamming in sealing aluminum vacuum metallized film packaging for food material. Two types of package are examined; one is unpigmented silver packaging and the other is red colored. The detection algorithm developed in this study consists of the following methods: capturing 24 bit image data of the package's seal area; decomposition of the RGB components (8 bits each); determination of the seal area, gray scale transformation, FFT, image denoising by a mask operation, IFFT, edge treatment and binary conversion by applying a brightness threshold. The optimum brightness threshold is calculated by discriminant analysis. The combined optimum brightness thresholds for the detection of jamming in unpigmented silver packaging are a brightness threshold of 55 and a threshold of 35 using the B-component of the image data. The discrimination ratio of the jamming package is 99.6% under the above conditions. For red colored packages, the optimum brightness thresholds for detecting jamming are a brightness threshold of 60 and a brightness threshold of 43 using the B-component of the image data, giving a discrimination ratio of 94.3%. It was showed that the detection of jamming in sealing food packages is possible by the detection systems developed in this study.<br>
Journal
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- Agricultural Information Research
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Agricultural Information Research 16 (4), 196-204, 2007
Japanese Society of Agricultural Informatics
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Details 詳細情報について
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- CRID
- 1390001204462087680
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- NII Article ID
- 130000116450
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- NII Book ID
- AN10481161
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- ISSN
- 18815219
- 09169482
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- NDL BIB ID
- 9495568
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed