Image recognition system based on novel measures of image similarity and cluster validity

Authors:
Chia-Yu Yen;Krzysztof J. Cios
Affiliations:
Department of Computer Science and Engineering, University of Colorado Denver, Denver, CO 80217, USA and Department of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, CO 80 ...;Department of Computer Science and Engineering, University of Colorado Denver, Denver, CO 80217, USA and Department of Computer Science, University of Colorado at Boulder, Boulder, CO 80309, USA a ...
Venue:
Neurocomputing
Year:
2008

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Abstract

We introduce an image recognition system that does not require availability of a complete training data. The system consists of a constrained K-Means clustering algorithm and an image recognition neural network. For finding similarity between images we use a novel image similarity measure and introduce a new image cluster validity measure to determine the most probable number of clusters. Extensive testing on several image datasets indicates good performance of the system.