Content-Based Image Retrieval Based On Color-Spatial Features

Malaysian Journal of Computer Science

Ramlan Mahmod¹  Rahmita Wirza O.K. Rahmat¹  Fatimah Ahmad¹  Mas Rina Mustaffa¹ 

关键词: Color;    Content-Based Image Retrieval (CBIR);    Query-by-Example;    Spatial;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: University of Malaya * Faculty of Computer Science and Information Technology

【 摘 要 】

A novel technique for Content-Based Image Retrieval (CBIR) that employs both the color and spatial informationof images is proposed. A maximum of three dominant color regions in an image together with its respectivecoordinates of the Minimum-Bounding Rectangle (MBR) are first extracted. Next, the Sub-Block technique is thenused to determine the location of the dominant regions by comparing the coordinates of the region’s MBR withthe four corners of the center of the location map. The cell number that is maximally covered by the region issupposedly to be assigned as the location index. However, the Sub-Block technique is not reliable because in mostcases, the location index assigned is not the cell number that is maximally covered by the region and sometimes aregion does not overlap with the cell number assigned at all. The effectiveness of this technique has beenimproved using the Improved Sub-Block technique by taking into consideration the total horizontal and verticaldistances of a region at each location where it overlaps. The color-spatial technique is accessed on a Query-by-Example CBIR system consisting of 900 images. From the experiments it is shown that retrieval effectiveness hasbeen significantly improved by 85.86%.

【 授权许可】

Unknown