An Edge-Based Color Image Retrieval by Using Multiple Features
WANG Xiang-Yang1,2,CHEN Jing-Wei1,YU Yong-Jian1
1.School of Computer and Information Technology,Liaoning Normal University,Dalian 116029 2.State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210093
Abstract Feature extraction and representation is one of the most important techniques in the content-based image retrieval (CBIR). An image edge is the boundary between an object and the background and indicates the boundary between overlapping objects. In this paper, an edge-based color image retrieval by using multiple features is proposed. Firstly, the color edge is extracted by using canny detection operator. Secondly, the weighted color histogram, the angle histogram and the gradient orientation histogram about the extracted color edge image are computed as image features. Finally, the similarity between color images is computed by combined feature index based on three kinds of histograms. Experimental results show that the proposed image retrieval is accurate and efficient in the user-interested images retrieval.
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2010, Vol. 23 
