1 April 1994 Colored object inspection with n-tuple system
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J. of Electronic Imaging, 3(2), (1994). doi:10.1117/12.171450
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.
Yangsheng S. Wang, Brian J. Griffiths, Bruce A. Wilkie, Peter A. Silverwood, Peter Norgate, "Colored object inspection with n-tuple system," Journal of Electronic Imaging 3(2), (1 April 1994). http://dx.doi.org/10.1117/12.171450
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KEYWORDS
Inspection

RGB color model

Logic

Binary data

Image processing

Object recognition

Imaging systems

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