期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：12
页码：9647-9651
出版社：IJECS
摘要：In this paper we propose a new and effective image retrieval scheme using color, texture and shape featuresbased on K-medoids. Image is predefined by using fast color quantization algorithm with cluster merging. Asmall number of dominant colors and their percentage can be obtained. The spatial features are extractedusing clustering methods. This offers an efficient and flexible approximation of early processing in thehuman visual system (HVS). It provides better feature representation and more robust to noise then otherrepresentations. Finally, the combination of the color, shape and texture feature provides a robust featureset for image retrieval. Experimental result shows that the proposed method provides a better color imageretrieval. It provides accurate and effective in retrieving the user-interested images
