Title: Content-Based Image Retrieval using colour feature and colour bit planes

Authors: Anil Balaji Gonde, R.P. Maheshwari, R. Balasubramanian

Addresses: Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India. ' Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247 667, Uttarakhand, India. ' Department of Mathematics Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India

Abstract: In this paper, we proposed a novel fusion approach using global and local features. Colour Histogram (CH) is used as global feature and Block Bit Plane (BBP) as a local feature. For similarity measurement, distance d₁ is used for CH features and BBPs are compared bit by bit using Hamming distance. Finally the overall similarity is computed as a weighted combination of global and local features. Particle swarm optimisation is used for optimisation of these weights. The proposed method is tested on 1000 and 3000 image database demonstrated significant improvement in precision and average recall rate compared to the current state of art methods.

Keywords: colour histograms; BBP; block bit planes; Gaussian normalisation; PSO; particle swarm optimisation; content-based image retrieval; colour features; feature fusion.

DOI: 10.1504/IJSISE.2010.034999

International Journal of Signal and Imaging Systems Engineering, 2010 Vol.3 No.2, pp.105 - 115

Published online: 31 Aug 2010 *

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