Color-texture analysis by mutual information for multispectral image classification

被引：4

作者：

El Maia, Hassan ^{[1
]}

Hammouch, Ahmed ^{[1
]}

Aboutajdine, Driss ^{[1
]}

机构：

[1] Mohamed V Agdal Univ, UFR IT, LRIT, Fac Sci, Rabat, Morocco

来源：

2009 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING, VOLS 1 AND 2 | 2009年

关键词：

SEGMENTATION; EXTRACTION;

D O I：

10.1109/PACRIM.2009.5291344

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：359 / 364

页数：6