- Title
- Automated pattern recognition and defect inspection system
- Creator
- Cui, Yue; Jin, Jesse S.; Luo, Suhuai; Park, Mira; Au, Sherlock S. L.
- Relation
- 5th International Conference on Image and Graphics (ICIG 2009). Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009 (Xi'an, China 20-23 September, 2009) p. 768-773
- Publisher Link
- http://dx.doi.org/10.1109/ICIG.2009.144
- Publisher
- IEEE Computer Society
- Resource Type
- conference paper
- Date
- 2010
- Description
- Packaging appearance is extremely important in cigarette manufacturing. Typically, there are two types of cigarette packaging defects: (1) cigarette laying defects such as incorrect cigarette numbers and irregular layout; (2) tin paper handle defects such as folded paper handles. In this paper, an automated vision-based defect inspection system is designed for cigarettes packaged in tin containers. The first type of defects is inspected by counting the number of cigarettes in a tin container. First k-means clustering is performed to segment cigarette regions. After noise filtering, valid cigarette regions are identified by estimating individual cigarette area using linear regression. The k clustering centers and area estimation function are learned off-line on training images. The second kind of defect is detected by checking the segmented paper handle region. Experimental results on 500 test images demonstrate the effectiveness of the proposed inspection system. The proposed method also contributes to the general detection and classification system such as identifying mitosis in early diagnosis of cervical cancer.
- Subject
- area estimation function; automated pattern recognition; automated vision based defect inspection system; cigarette laying defect; cigarette manufacturing; cigarette packaging defect; k-means clustering; linear regression; noise filtering; tin paper handle defect
- Identifier
- http://hdl.handle.net/1959.13/927118
- Identifier
- uon:10049
- Identifier
- ISBN:9780769538839
- Rights
- Copyright © 2010 IEEE. Reprinted from the Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Language
- eng
- Full Text
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