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CBIR using Combined Feature Vectors of Column-Wise and Row-Wise DCT Transformed Plane Sectorization

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International Journal of Computer Applications
© 2012 by IJCA Journal
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 and Chirag Thakkar. Article: CBIR using Combined Feature Vectors of Column-Wise and Row-Wise DCT Transformed Plane Sectorization. International Journal of Computer Applications 43(22):35-41, April 2012. Full text available. BibTeX

@article{key:article,
	author = {H.b.kekre and Dhirendra Mishra and Rohan Shah and Shikha Shah and Chirag Thakkar},
	title = {Article: CBIR using Combined Feature Vectors of Column-Wise and Row-Wise DCT Transformed Plane Sectorization},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {43},
	number = {22},
	pages = {35-41},
	month = {April},
	note = {Full text available}
}

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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