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CBIR using Combined Feature Vectors of Column-Wise and Row-Wise DCT Transformed Plane Sectorization
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 43 - Number 22 |
| Year of Publication: 2012 |
| Authors: H.b.kekre, Dhirendra Mishra, Rohan Shah, Shikha Shah, Chirag Thakkar |
10.5120/6405-8874
|
H.b.kekre, Dhirendra Mishra, Rohan Shah, Shikha Shah, Chirag Thakkar . CBIR using Combined Feature Vectors of Column-Wise and Row-Wise DCT Transformed Plane Sectorization. International Journal of Computer Applications. 43, 22 ( April 2012), 35-41. DOI=10.5120/6405-8874
Abstract
Content Based Image Retrieval is a way of computer viewing technique used to retrieve digital images from a huge database. In this paper we have first calculated the feature vector column-wise and row-wise separately. After this we have concatenated the feature vectors of column-wise and row-wise. To evaluate the performance of the proposed method we have used Precision-Recall crossover point, LIRS, LSRR and LSRI. Sum of Absolute Distance and Euclidean Distance are the two similarity measures used. The column-row wise DCT transformed image is sectorized on the basis of even-odd column components of transformed image with augmentation of zero and highest row components. The proposed algorithm is applied to a database of thousand images. These thousand images are grouped in ten different classes. Performance is evaluated and compared for 4, 8, 12, 16 DCT sectors.
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