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Journal of Electronic Imaging

Colored object inspection with n-tuple system
Author(s): Yangsheng S. Wang; Brian J. Griffiths; Bruce A. Wilkie; Peter A. Silverwood; Peter Norgate
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Paper Abstract

A new system for the recognition of objects that are both complex and colored is presented. The transformation of the color cluster is designed to obtain a color set that makes it possible to use the color cluster information for n-tuple classification. Generally, if two objects have different color patterns, their color clusters will be different. Therefore, the color cluster is an important characteristic for colored object recognition. Further processing takes place, where some color planes are sliced from the color set, and every plane is sampled separately and applied to a classifier based on the n-tuple technique ofpattern recognition. The color cluster called pure color information is position invariant. Therefore, the system has one great advantage of position-invariant inspection for colored objects. The system interrogation time is always the same for whatever the complexity of the object, which is another advantage of the technique for the inspection of complex objects. Preliminary results using these techniques have shown promise in the classification and inspection of various artifacts.

Paper Details

Date Published: 1 April 1994
PDF: 6 pages
J. Electron. Imaging. 3(2) doi: 10.1117/12.171450
Published in: Journal of Electronic Imaging Volume 3, Issue 2
Show Author Affiliations
Yangsheng S. Wang, Brunel Univ. (United Kingdom)
Brian J. Griffiths, Brunel Univ. (United Kingdom)
Bruce A. Wilkie, Brunel Univ. (United Kingdom)
Peter A. Silverwood, Planer Products Ltd. (United Kingdom)
Peter Norgate, Planer Products Ltd. (United Kingdom)


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