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Proceedings Paper

Texture segmentation using wavelet packets
Author(s): Yu-Chuan Lin; Tianhorng Chang; C.-C. Jay Kuo
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Paper Abstract

A tree-structured wavelet transform has been developed for texture classification in our previous work. The new transform, which offers a non-redundant representation and can be interpreted as the decomposition of a 2D function with the wavelet packet basis, is able to zoom into dominant frequency channels containing significant information of textures. In this research, we extend our work to the texture segmentation problem. A new multiscale texture segmentation algorithm based on the tree-structured wavelet transform and a fuzzy clustering technique is proposed. Numerical experiments are given to demonstrate the performance of the proposed algorithm.

Paper Details

Date Published: 1 November 1993
PDF: 11 pages
Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); doi: 10.1117/12.162070
Show Author Affiliations
Yu-Chuan Lin, Univ. of Southern California (United States)
Tianhorng Chang, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 2034:
Mathematical Imaging: Wavelet Applications in Signal and Image Processing
Andrew F. Laine, Editor(s)

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