Texture segmentation using wavelet packets

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

doi:10.1117/12.162070

1 November 1993 Texture segmentation using wavelet packets

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

Proceedings Volume 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing; (1993) https://doi.org/10.1117/12.162070
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, 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 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.

Citation Download Citation

Yu-Chuan Lin, Tianhorng Chang, and C.-C. Jay Kuo "Texture segmentation using wavelet packets", Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); https://doi.org/10.1117/12.162070

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