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Proceedings Paper

Shape analysis and detection based on morphological pattern spectrum
Author(s): Shan Duan; Jian-xin Mei; Qianqing Qin
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Paper Abstract

Morphological pattern spectrum is a useful shape description tool for quantifying the geometric shape feature of both binary and gray images. In this paper, a general frame of pattern spectrum is developed for both continuous-scale and discrete-scale based on the efficient and reduced redundancy multiscale image representation. A discussion for the basic properties of generalized pattern spectrum is presented in the paper. Algorithms for shape recognition and shape classification using continuous and discrete-scale pattern of images are proposed in Euclidian space.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539016
Show Author Affiliations
Shan Duan, Wuhan Univ. and The South Central Univ. for Nationalities (China)
Jian-xin Mei, Wuhan Univ. (China)
Qianqing Qin, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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