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Proceedings Paper

Polynomial morphological approach in pattern recognition
Author(s): Kai Qian; Chih-Cheng Hung; Prabir Bhatacharya
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Paper Abstract

This paper presents a morphological polynomial approach to the presentation, shape decomposition, and object pattern recognition for machine vision. The polynomial morphological approach is a powerful method for image processing and pattern recognition. The algorithms of shape decomposition and pattern recognition are discussed. Polynomial approach can be implemented in a parallel processing machine and it can be used to develop a standard algebra-based programming language for image processing and pattern recognition.

Paper Details

Date Published: 29 June 2000
PDF: 8 pages
Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); doi: 10.1117/12.390478
Show Author Affiliations
Kai Qian, Southern Polytechnic State Univ. (United States)
Chih-Cheng Hung, Southern Polytechnic State Univ. (United States)
Prabir Bhatacharya, University of Nebraska/Lincoln (United States)


Published in SPIE Proceedings Vol. 4041:
Visual Information Processing IX
Stephen K. Park; Zia-ur Rahman, Editor(s)

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