Tree-structured wavelet transform for textured image segmentation

Tianhorng Chang; C.-C. Jay Kuo

doi:10.1117/12.130945

30 November 1992 Tree-structured wavelet transform for textured image segmentation

Tianhorng Chang, C.-C. Jay Kuo

Proceedings Volume 1770, Advanced Signal Processing Algorithms, Architectures, and Implementations III; (1992) https://doi.org/10.1117/12.130945
Event: San Diego '92, 1992, San Diego, CA, United States

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, is able to zoom into dominant frequency channels containing significant information of textures and can be interpreted as the decomposition of a 2-D function with the wavelet packet basis. 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 hierarchical fuzzy clustering technique is proposed. Numerical experiments are given to demonstrate the performance of our new algorithm.

Citation Download Citation

Tianhorng Chang and C.-C. Jay Kuo "Tree-structured wavelet transform for textured image segmentation", Proc. SPIE 1770, Advanced Signal Processing Algorithms, Architectures, and Implementations III, (30 November 1992); https://doi.org/10.1117/12.130945

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