Hierarchical texture segmentation with wavelet packet transform and adaptive smoothing

Yu-Chuan Lin; Tianhorng Chang; C.-C. Jay Kuo

doi:10.1117/12.185951

16 September 1994 Hierarchical texture segmentation with wavelet packet transform and adaptive smoothing

Yu-Chuan Lin, Tianhorng Chang, C.-C. Jay Kuo

Author Affiliations +

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185951
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

A new texture segmentation algorithm based on the wavelet transform and a hierarchical fuzzy processing technique is proposed in this research. We perform a tree-structured wavelet transform to decompose a textured image adaptively into subimages corresponding to different frequency channels, and assign a fuzzy membership function to every spatial location by examining the averaged energy value of a local window centered at that point. A procedure to determine the proper smoothing window size is described. The fuzzy membership function in different subimages is then integrated hierarchically to lead to the final segmentation result. Numerical experiments are given to demonstrate the performance of our proposed algorithm.

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Yu-Chuan Lin, Tianhorng Chang, and C.-C. Jay Kuo "Hierarchical texture segmentation with wavelet packet transform and adaptive smoothing", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185951

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