Hybrid color space and Support vector machines for classification

Author

Rami, H. ; Hamri, M. ; Masmoudi, Lh

Author_Institution

Phys. Dept., Mohamed V Univ., Rabat, Morocco

fYear

2009

fDate

2-4 April 2009

Firstpage

484

Lastpage

487

Abstract

In this study, segmentation of color image is performed by supervised classification method based on hybrid color space. We define a kind of color space by selecting a set of color components which can belong to any of the different classical color spaces. We propose to classify pixels represented in the hybrid color space which is specifically designed to yield the best discrimination between the pixel classes and support vector machines (SVM). The proposed approach has been successfully tested on real color images.

Keywords

image classification; image colour analysis; image representation; image segmentation; learning (artificial intelligence); support vector machines; SVM; color image segmentation; hybrid color space; pixel representation; supervised classification method; support vector machine; Extraterrestrial measurements; Image analysis; Image color analysis; Image segmentation; Laboratories; Physics; Pixel; Support vector machine classification; Support vector machines; Testing; Cross Validation; Feature Selection; Hybrid Color Space; RGB Images; Segmentation; Support Vector Machine (SVM);

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on

Conference_Location

Ouarzazate

Print_ISBN

978-1-4244-3756-6

Electronic_ISBN

978-1-4244-3757-3

Type

conf

DOI

10.1109/MMCS.2009.5256648

Filename

5256648