Title :
Comparison of feature selection schemes for color texture classification
Author :
Porebski, A. ; Vandenbroucke, N. ; Macaire, L.
Author_Institution :
Ecole d´´Ing. du Pas-de-Calais, Longuenesse, France
Abstract :
In this paper, we propose to compare the performances of two sequential feature selection schemes used for supervised color texture classification. We focus this study on the sequential forward selection (SFS) scheme and the more complex sequential forward floating selection (SFFS) scheme which avoids the “nesting effect”. These schemes retain Haralick features extracted from chromatic co-occurrence matrices of images coded in different color spaces. We experimentally study the contribution of these two feature selection schemes with three benchmark color texture databases.
Keywords :
feature extraction; image classification; image colour analysis; image texture; matrix algebra; Haralick features extraction; chromatic cooccurrence matrices; color texture databases; nesting effect avoidance; sequential feature selection schemes; sequential forward floating selection scheme; supervised color texture classification; Databases; Extraterrestrial measurements; Feature extraction; Image color analysis; Pixel; Power measurement; Training; Color texture; SFFS; SFS; feature selection;
Conference_Titel :
Image Processing Theory Tools and Applications (IPTA), 2010 2nd International Conference on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-7247-5
DOI :
10.1109/IPTA.2010.5586760