Content-based Color Image Retrieval Method Using SVR Classification
Xiangyang Wang · Journal of Chinese Computer Systems · 2008
In the traditional approach of content-based image retrieval,the wide image domain results in the wide semantic gap between the low-level features and the high-level concepts.In this paper,a content-based color image retrieval method using SVR(Support Vector Regression)classification is proposed.Firstly,the color feature,spatial feature and texture feature are extracted from the color image as the eigenvectors.Then,the SVR are trained for natural image classification.Finally,the resulting image class model is incorporated into image retrieval system,so that the users can search natural image by classes.Experimental results show that the proposed color image retrieval is more accurate and efficient in retrieving the user-interested images.