DocumentCode
701443
Title
Textured images segmentation by a multiresolution morphological decomposition method
Author
Ploix, A. ; Chen, V. ; Leclere, P. ; Roussel, M.
Author_Institution
LAM - Equipe de Troyes - LTI - IUT de TROYES, BP 396 - 10026 TROYES CEDEX - France
fYear
1996
fDate
10-13 Sept. 1996
Firstpage
1
Lastpage
4
Abstract
This contribution deals with the textured images segmentation. The model exploits morphological operators and order filters properties. A morphological decomposition filters bank is built to isolate elementary patterns by decomposing the textural image characteristics. The 1 and 2 order statistic moments and the gradient means are computed in order to select the best feature component image which allows to perform the image segmentation. The method is illustrated by a real image randomly textured.
Keywords
Filtering theory; Image resolution; Image segmentation; Morphology; Noise; Nonlinear filters; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location
Trieste, Italy
Print_ISBN
978-888-6179-83-6
Type
conf
Filename
7083169
Link To Document