Article Information
| Title: | Content-Based Image Retrieval Based On Color-Spatial Features |
| Auhtor(s): |
Mas Rina Mustaffa ,Fatimah Ahmad,Rahmita Wirza O.K. Rahmat,Ramlan Mahmod ,
|
| Journal: | Malaysian Journal of Computer Science (ISSN 0127-9084) |
| Volume: | 21, No 1 |
| Year: | 2008 |
| Keywords: | Color, Content-Based Image Retrieval (CBIR), Query-by-Example, Spatial |
| Abstract: | A novel technique for Content-Based 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 Minimum-Bounding Rectangle (MBR) are first extracted. Next, the Sub-Block 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 Sub-Block 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 Sub-Block technique by taking into consideration the total horizontal and vertical
distances 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 has
been significantly improved by 85.86%. |
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