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  • 标题:Content-Based Image Retrieval Based On Color-Spatial Features
  • 本地全文:下载
  • 作者:Mas Rina Mustaffa ; Fatimah Ahmad ; Rahmita Wirza O.K. Rahmat
  • 期刊名称:Malaysian Journal of Computer Science
  • 印刷版ISSN:0127-9084
  • 出版年度:2008
  • 卷号:21
  • 期号:1
  • 出版社:University of Malaya * Faculty of Computer Science and Information Technology
  • 摘要:A novel technique for ContentBased Image Retrieval (CBIR) that employs both the color and spatial information of images is proposed. A maximum of three dominant color regions in an image together with its respective coordinates of the MinimumBounding Rectangle (MBR) are first extracted. Next, the SubBlock technique is then used to determine the location of the dominant regions by comparing the coordinates of the region’s MBR with the four corners of the center of the location map. The cell number that is maximally covered by the region is supposedly to be assigned as the location index. However, the SubBlock technique is not reliable because in most cases, the location index assigned is not the cell number that is maximally covered by the region and sometimes a region does not overlap with the cell number assigned at all. The effectiveness of this technique has been improved using the Improved SubBlock technique by taking into consideration the total horizontal and vertical distances of a region at each location where it overlaps. The colorspatial technique is accessed on a Queryby Example CBIR system consisting of 900 images. From the experiments it is shown that retrieval effectiveness has been significantly improved by 85.86%.
  • 关键词:Color; ContentBased Image Retrieval (CBIR); QuerybyExample; Spatial
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