A Shape-Based Image Retrieval System Using the Curvature Scale Space (CSS) Technique and the Self-Organizing Map (SOM) Model

Authors:
Carlos W. D. de Almeida;Renata M. C. R. de Souza;Nicomedes L. Cavalcanti Junior
Affiliations:
Cidade Universitaria, Brasil;Cidade Universitaria, Brasil;Cidade Universitaria, Brasil
Venue:
HIS '06 Proceedings of the Sixth International Conference on Hybrid Intelligent Systems
Year:
2006

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Abstract

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.