DocumentCode :
1939633
Title :
Texture segmentation and analysis using local spectral methods
Author :
Cristóbal, G. ; Fischer, S. ; Forero-Vargas, M. ; Redondo, R. ; Hormigo, J.
Author_Institution :
Imaging & Vision Dept., Instituto de Optica, Madrid, Spain
Volume :
1
fYear :
2003
fDate :
1-4 July 2003
Firstpage :
129
Abstract :
In this paper we present two new methods for texture segmentation and analysis using local spectral methods. The first approach to the problem is to use a modular pattern detection in textured images based on the use of a pseudo-wigner distribution (PWD) followed by a decorrelation procedure that consists of a principal component analyzer (for texture segmentation). The goal is to combine the advantages of a high spectral resolution of a joint representation given by the pseudo-Wigner distribution (PWD) with an effective adaptive principal component analysis. The second approach is based on a modular procedure that encompasses a region of interest extraction procedure followed by a log-prolate filtering scheme (for texture classification). Performance of both methods is evaluated in different application domains: fabric defective textures, epithelial cell cultures and a diatom´s classification scenario yielding excellent results over other conventional spatial or spectral methods.
Keywords :
Wigner distribution; feature extraction; filtering theory; image classification; image representation; image resolution; image segmentation; image texture; principal component analysis; spectral analysis; adaptive principal component analysis; decorrelation; diatom´s classification; epithelial cell culture; fabric defective texture; image representation; local spectral method; log-prolate filtering scheme; modular pattern detection; modular procedure; pseudo-Wigner distribution; region of interest extraction procedure; spectral resolution; texture analysis; texture classification; texture segmentation; textured image; Bandwidth; Frequency domain analysis; Gabor filters; Image segmentation; Image texture analysis; Low pass filters; Principal component analysis; Signal analysis; Smoothing methods; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
Type :
conf
DOI :
10.1109/ISSPA.2003.1224657
Filename :
1224657
Link To Document :
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