DocumentCode :
3206857
Title :
Multifractals, texture, and image analysis
Author :
Vehel, Jacques Levy ; Mignot, Pascal ; Berroir, Jean-Paul
Author_Institution :
INRIA, Le Chesnay, France
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
661
Lastpage :
664
Abstract :
Image analysis using texture and multifractal paradigms is addressed. Multifractal theory and its application to image description are discussed, and it is shown that this approach allows the discrete signal to be worked on directly. A system for texture classification that is based on a learning scheme and does not make use of any a priori model is introduced. Image segmentation is then considered, and the notion of mixed classes, which allows accurate detection of texture boundaries on complex images, is introduced
Keywords :
fractals; image texture; complex images; discrete signal; image analysis; image description; image segmentation; learning scheme; mixed classes; multifractals; texture boundaries; texture classification; Coordinate measuring machines; Fractals; Geometry; Image analysis; Image segmentation; Image texture analysis; Meteorology; Performance evaluation; Physics; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223207
Filename :
223207
Link To Document :
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