Shape Codification Indexing and Retrieval Using the Quad-Tree Structure

  • Authors:
  • Saliha Aouat

  • Affiliations:
  • Department of Computer Science, LRIA Laboratory, USTHB University, Algiers, Algeria

  • Venue:
  • International Journal of Computer Vision and Image Processing
  • Year:
  • 2013

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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.