DocumentCode :
2233933
Title :
Measuring similarity between color image regions
Author :
Akcay, M. ; Baskurt, A. ; Sankur, B.
Author_Institution :
LIGIM (Comput. Graphics, Image & Modeling Lab.), Villeurbanne, France
fYear :
2002
fDate :
3-6 Sept. 2002
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a methodology for measuring the similarity between two color image regions. An isolated object or a segmented region is described with the Color Angular Radial Transform (CART) introduced in this study. This new region-based descriptor uses both the shape information in the luminance component and the spatial distribution of the dominant colors in the region. The similarity between two regions results from the weighted sum of the shape and color features. Results obtained on MPEG-7 data set are presented and discussed.
Keywords :
image colour analysis; image segmentation; CART; MPEG-7 data set; color angular radial transform; color image region similarity measurement; image segmentation; luminance component; spatial distribution; Color; Graphical models; Image color analysis; Shape; Subspace constraints; Transform coding; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse
ISSN :
2219-5491
Type :
conf
Filename :
7072003
Link To Document :
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