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Shape Codification Indexing and Retrieval Using the Quad-Tree Structure

Shape Codification Indexing and Retrieval Using the Quad-Tree Structure

Saliha Aouat
Copyright: © 2013 |Volume: 3 |Issue: 1 |Pages: 21
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781466631076|DOI: 10.4018/ijcvip.2013010101
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MLA

Aouat, Saliha. "Shape Codification Indexing and Retrieval Using the Quad-Tree Structure." IJCVIP vol.3, no.1 2013: pp.1-21. http://doi.org/10.4018/ijcvip.2013010101

APA

Aouat, S. (2013). Shape Codification Indexing and Retrieval Using the Quad-Tree Structure. International Journal of Computer Vision and Image Processing (IJCVIP), 3(1), 1-21. http://doi.org/10.4018/ijcvip.2013010101

Chicago

Aouat, Saliha. "Shape Codification Indexing and Retrieval Using the Quad-Tree Structure," International Journal of Computer Vision and Image Processing (IJCVIP) 3, no.1: 1-21. http://doi.org/10.4018/ijcvip.2013010101

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Abstract

The author presents in this paper a new approach for indexing and Content-based image retrieval based on the Quad-tree structure. The 3D objects are represented by their silhouettes and codified following the filling rate of each quadrant at different levels of the quad-tree subdivision. The author proposes a modified linear codification for silhouettes, this method improves the processing time because, in opposite to the traditional algorithms, the author’s algorithm has not a processing time that is proportional to the number of pixels in the image. As the same descriptor may characterize a set of different shapes, the author proposes also, efficient similarity measures to distinguish different objects having the same index in order to apply the approach to the retrieval process.

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