학술논문
Hybrid color space and Support vector machines for classification
Document Type
Conference
Author
Source
2009 International Conference on Multimedia Computing and Systems Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on. :484-487 Apr, 2009
Subject
Language
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.