Color-texture analysis by mutual information for multispectral image classification

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.

[1]  D. W. Scott,et al.  Multivariate Density Estimation, Theory, Practice and Visualization , 1992 .

[2]  Paul F. Whelan,et al.  Experiments in colour texture analysis , 2001, Pattern Recognit. Lett..

[3]  John F. Haddon,et al.  Image Segmentation by Unifying Region and Boundary Information , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Richard W. Conners,et al.  A Theoretical Comparison of Texture Algorithms , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Michel Verleysen,et al.  Fast Selection of Spectral Variables with B-Spline Compression , 2007, ArXiv.

[6]  David W. Scott,et al.  Multivariate Density Estimation: Theory, Practice, and Visualization , 1992, Wiley Series in Probability and Statistics.

[7]  F. Cointault,et al.  In‐field Triticum aestivum ear counting using colour‐texture image analysis , 2008 .

[8]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[9]  Rama Chellappa,et al.  Texture synthesis using 2-D noncausal autoregressive models , 1985, IEEE Trans. Acoust. Speech Signal Process..

[10]  Chih-Jen Lin,et al.  A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.

[11]  A William,et al.  Texture Synthesis Using 2-D Noncausal , 1985 .

[12]  Abdelmounaime Safia,et al.  La transformation en ondelettes pour l'extraction de la texture‐couleur. Application à la classification combinée des images (HRV) de SPOT , 2006 .

[13]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[14]  Rae-Hong Park,et al.  Extraction of periodicity vectors from structural textures using projection information , 1990, Pattern Recognit. Lett..

[15]  Majid Mirmehdi,et al.  Segmentation of Color Textures , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  A. Kraskov,et al.  Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  Nicolas Vandenbroucke.  Segmentation d'images couleur par classification de pixels dans des espaces d'attributs colorimétriques adaptés : application à l'analyse d'images de football , 2000 .

[18]  Masson,et al.  6 - Une méthode de classification de textures par extraction linéaire non paramétrique de caractéristiques , 1988 .

[19]  Driss Aboutajdine,et al.  Hybridization of colour information with texture by using mutual information for the classification of satellite images , 2009, 2009 International Conference on Multimedia Computing and Systems.

[20]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[21]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .