Shape analysis and detection based on morphological pattern spectrum

Shan Duan; Jian-xin Mei; Qianqing Qin

doi:10.1117/12.539016

25 September 2003 Shape analysis and detection based on morphological pattern spectrum

Shan Duan, Jian-xin Mei, Qianqing Qin

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539016
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Shan Duan, Jian-xin Mei, and Qianqing Qin "Shape analysis and detection based on morphological pattern spectrum", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539016

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