Paper
29 June 2000 Polynomial morphological approach in pattern recognition
Kai Qian, Chih-Cheng Hung, Prabir Bhatacharya
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kai Qian, Chih-Cheng Hung, and Prabir Bhatacharya "Polynomial morphological approach in pattern recognition", Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); https://doi.org/10.1117/12.390478
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Pattern recognition

Binary data

Parallel processing

Image processing

Palladium

Standards development

Algorithm development

RELATED CONTENT

Pattern recognition by template polynomials
Proceedings of SPIE (January 01 1990)
Polynomial Image Algebra Approach For Image Processing
Proceedings of SPIE (November 01 1989)
Parallel Processing For Computer Vision
Proceedings of SPIE (November 22 1982)

Back to Top