DocumentCode :
2607997
Title :
Fractal probability functions-an application to image analysis
Author :
Vehel, Jacques Levy
Author_Institution :
INRIA, Le Chesnay, France
fYear :
1991
fDate :
3-6 Jun 1991
Firstpage :
378
Lastpage :
383
Abstract :
The extension of the iterated function system (IFS) theory dealing with probability functions instead of numbers is applied to texture analysis. The results allow encoding and reconstruction of textured images, and hence the compression of data to tackle the problem of texture segmentation in a rigorous manner
Keywords :
data compression; encoding; fractals; pattern recognition; picture processing; probability; data compression; encoding; fractal probability functions; image analysis; iterated function system; reconstruction; texture analysis; texture segmentation; Eigenvalues and eigenfunctions; Fractals; Geometry; Image analysis; Image coding; Image reconstruction; Image segmentation; Image texture analysis; Inverse problems; Shape measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
ISSN :
1063-6919
Print_ISBN :
0-8186-2148-6
Type :
conf
DOI :
10.1109/CVPR.1991.139719
Filename :
139719
Link To Document :
بازگشت