DocumentCode
1639568
Title
Texture segmentation with tree-structured wavelet transform
Author
Chang, Tianhorng ; Kuo, C. C Jay
Author_Institution
Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear
1992
Firstpage
543
Lastpage
546
Abstract
A tree-structured wavelet transform has previously been developed and used for texture classification by the authors. The transform is able to zoom into dominant frequency channels containing significant texture information for further wavelet decomposition, and can be interpreted as the decomposition of a 2-D function with the wavelet packet basis function. The texture segmentation problem is addressed here. A texture segmentation algorithm based on the tree-structured wavelet transform and a hierarchical fuzzy clustering technique is proposed. Numerical experimental results are given
Keywords
filtering and prediction theory; image segmentation; image texture; tree data structures; wavelet transforms; hierarchical fuzzy clustering technique; image processing; texture segmentation; tree-structured wavelet transform; wavelet packet basis function; Classification tree analysis; Clustering algorithms; Filter bank; Frequency; Gabor filters; Image segmentation; Signal resolution; Spatial resolution; Wavelet packets; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0805-0
Type
conf
DOI
10.1109/TFTSA.1992.274121
Filename
274121
Link To Document