期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
期号：ICETS
页码：1255
出版社：S&S Publications
摘要：Region Based Image Retrieval (RBIR) is an image retrieval approach which focuses on contents from regions of images. This approach applies image segmentation t o divide an image into discrete regions , which if the segmentation is ideal, it corresponds to objects. Thus the capture of region is improved so as to enhance the indexing and retrieval performance and also to provide a better similarity distance computat ion. During image segmentation, a modified k - means algorithm for image retrieval is developed where hierarchical clustering algorithm is used to generate the initial number of clusters and the cluster centres. In addition, duri ng similarity distance comput ation, object weight based on object's uniqueness is introduced. Therefore considering images based on regions using RBIR allows the users to pay more attention to regional properties that may better characterize objects which are also made up of local reg i ons. This strategy is able to better reflect the characteristics of the images from the perspective of image regions and objects.
关键词：Region Based Image Retrieval (RBIR); ; Similarity distance computation; k ; - ; means algorithm; ; Hierarchical clustering a ; lgorithm; object weight
