DocumentCode :
678827
Title :
Clifford Algebra and Gabor filter for color image texture characterization
Author :
Sanda, A.T. ; Ezin, E.C. ; Gouton, Pierre ; Tossa, J.
Author_Institution :
Unite de Rech. en Inf. et Sci. Appl., Inst. de Math. et de Sci. Physiques, Porto-Novo, Benin
fYear :
2013
fDate :
2-5 Dec. 2013
Firstpage :
212
Lastpage :
216
Abstract :
The first texture descriptors are proposed in 1973 by Haralick[1] and in 1975 by Marie Galloway[2] are still used today for image classification or segmentation in various domains. The majority of these features are defined for gray level images. Many papers have proposed different approaches among them, a parallel study of color and gray level texture characterization when other combined the two groups of features by defining joint features[3][4][5]. Combining features or defining them jointly are outperformed [6] even though these features impose some constraints such as the color system, measurement similarity methods. The aim of this paper is to use Clifford Algebra to represent multi-component images and to propose a color image texture.
Keywords :
Gabor filters; algebra; image colour analysis; image representation; image texture; Clifford algebra; Gabor filter; color image texture characterization; color system; gray level image texture characterization; measurement similarity methods; multicomponent image representation; texture descriptors; Color; Gabor filters; Image classification; Image color analysis; Image segmentation; Vectors; Clifford Algebra Gabor filter Color image Texture analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on
Conference_Location :
Kyoto
Type :
conf
DOI :
10.1109/SITIS.2013.45
Filename :
6727194
Link To Document :
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