Sixth International Conference on Hybrid Intelligent Systems (HIS'06) A Shape-Based Image Retrieval System Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model Auckland, New Zealand December 13-December 15 ISBN: 0-7695-2662-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2006.8
A novel hybrid system for shape-based image retrieval using the curvature scale space (CSS) and self-organizing map (SOM) methods is presented. The shape features of images are represented by CSS images extracted from, for example, a large database and they are processed using the PCA technique. These processed CSS images constitutes the training dataset for a SOM neural network which, in turn, will be used for performing efficient image retrieval. Experimental results using a benchmark database are presented to demonstrate the usefulness of the proposed methodology.
Citation:
Carlos W.D. de Almeida, Renata M.C.R. de Souza, Nicomedes L. Cavalcanti Junior, "A Shape-Based Image Retrieval System Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model," his, pp.25, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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