期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2013
卷号：4
期号：2
页码：242-245
出版社：TechScience Publications
摘要：Content-based image retrieval (CBIR) scheme searches the most-similar images of a query image that involves in comparing the feature vectors of all the images in the database with that of the query image using some pre-selected similarity measure, and then sorting of the results. On querying an image, a reduced set of candidate images which have the same Grid Code as that of the query image is obtained. The color histogram for an image is constructed by quantizing the colors within the image and counting the number of pixels of each color. The feature vector of an image can be derived from the histograms of its color components and finally can set the number of bins in the color histogram to obtain the feature vector of desired size. Thus the grid code of an image is obtained through the quantization of the feature vector derived from the histogram of the desired color component of the image. In order to have similar features of the images the grid code must be same for all Images in the grid. Experimental result show confirms that the proposed method is most effective.
关键词：CBIR; Color Histogram; Data Mining; Query Image;Grid Code.
