DocumentCode
2030870
Title
Optimal Gabor-filter design for texture segmentation
Author
Dunn, Dennis F. ; Higgins, William E.
Author_Institution
Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA
Volume
5
fYear
1993
fDate
27-30 April 1993
Firstpage
37
Abstract
An algorithm for designing optimal Gabor filters is presented. The algorithm assumes that an image contains two different textures and that prototype samples of the desired textures are given. It uses a decision-theoretic framework, based on modeling a Gabor-filter output as a Rician distribution, for designing optimal filters. To gain more robust results, a multiple-filter segmentation scheme is proposed. Experimental results verify the efficacy of the methods presented here.<>
Keywords
decision theory; filtering and prediction theory; image segmentation; image texture; Rician distribution; algorithm; decision-theoretic framework; design; optimal Gabor filters; texture segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319741
Filename
319741
Link To Document