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.

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

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