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25 September 2003 Shape analysis and detection based on morphological pattern spectrum
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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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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