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