期刊名称：International Journal of Electronics and Computer Science Engineering
电子版ISSN：2277-1956
出版年度：2012
卷号：1
期号：4
页码：2432-2438
出版社：Buldanshahr : IJECSE
摘要：Large image databases are becoming popular due to the ease with which images are being created/digitized and stored. Content Based Image Retrieval (CBIR) has therefore evolved into a necessity. It is a challenging task to design an effective and efficient CBIR system. Current research works attempt to obtain the semantics or meaning of the image to perform better retrieval. In this paper, we are going to propose a color image retrieval method based on the primitives of color moments. First, an image is divided into four segments. Then, the color moments of all segments are extracted and clustered into four classes. In this paper variance moments of each class are considered as a primitive of the image. All primitives are used as features and each class variance combined into single class mean. The distance between query image variance with the corresponding database images are calculated by using SAD method. Experiment results prove that the CBIR using our new measure has better performance than the existing methods
关键词：Image; CBIR; SAD; color moments; segmentation & similarity measure
