Adding fractal dimension as textural feature for content based image retrieval

Authors:
Radu Dobrescu;Matei Dobrescu;Loretta Ichim
Affiliations:
Politehnica University of Bucharest, Romania;Politehnica University of Bucharest, Romania;Politehnica University of Bucharest, Romania
Venue:
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Year:
2006

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Abstract

The objective of the present work is to evaluate the potential of the use of the image fractal dimension as textural feature in a content based image retrieval system. In order to compare and classify the regions of an image, we have used two distances between two partitions of the image: (1) a classic distance computed with some features (contrast, energy, entropy, homogeneity, correlation) extracted form co-occurrence matrix and (2) a distance between the fractal dimensions of the two regions. The experiments proved that the degree of confidence is increased when adding the fractal dimension to the other textural features.