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                                       Details for article 4 of 9 found articles
 
 
  Automated Defect Inspection Systems by Pattern Recognition
 
 
Title: Automated Defect Inspection Systems by Pattern Recognition
Author: Mira Park
Jesse S. Jin
Sherlock L. Au
Suhuai Luo
Yue Cui
Appeared in: International journal of signal processing, image processing and pattern recognition
Paging: Volume 2 (2009) nr. 2 pages 31-42
Year: 2009
Contents: Visual inspection and classification of cigarettes packaged in a tin container is very important in manufacturing cigarette products that require high quality package presentation. For accurate automated inspection and classification, computer vision has been deployed widely in manufacturing. We present the detection of the defective packaging of tins of cigarettes by identifying individual objects in the cigarette tins. Object identification information is used for the classification of the acceptable cases (correctly packaged tins) or defective cases (incorrectly packaged tins). This paper investigates the problem of identifying the individual cigarettes and a paper spoon in the packaged tin using image processing andmorphology operations. The segmentation performance was evaluated on 500 images including examples of both good cases and defective cases.
Publisher: SERSC (provided by DOAJ)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 9 found articles
 
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