DocumentCode :
1960123
Title :
Color-texture analysis by mutual information for multispectral image classification
Author :
El Maia, Hassan ; Hammouch, Ahmed ; Aboutajdine, Driss
Author_Institution :
Fac. of Sci., Mohamed V-Agdal Univ., Rabat, Morocco
fYear :
2009
fDate :
23-26 Aug. 2009
Firstpage :
359
Lastpage :
364
Abstract :
In this paper, we propose a new approach for the construction of a hybrid color-texture space by using mutual information. Feature extraction is done by the co-occurrence matrix with SVM (support vectors machine) as a classifier. We apply our approach to the VisTex database and to the classification of a SPOT HRV (XS) image representing two forest areas in the region of Rabat in Morocco. We compare the result of classification obtained in this hybrid space with the one in the RGB color space.
Keywords :
feature extraction; image classification; image colour analysis; image texture; support vector machines; Morocco; RGB color space; Rabat; SPOT HRV (XS); VisTex database; co-occurrence matrix; feature extraction; forest areas; hybrid color texture space; multispectral image classification; mutual information; support vectors machine; Feature extraction; Image analysis; Image color analysis; Image databases; Information analysis; Multispectral imaging; Mutual information; Spatial databases; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing, 2009. PacRim 2009. IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4244-4560-8
Electronic_ISBN :
978-1-4244-4561-5
Type :
conf
DOI :
10.1109/PACRIM.2009.5291344
Filename :
5291344
Link To Document :
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