Improved Query by Image Retrieval using Multi-feature Algorithms

Rani Saritha R., Varghese Paul, P. Ganesh Kumar · 2013

Query by Image Retrieval uses image content features to search and retrieve digital images from a large database. Visual feature extraction methods are commonly employed techniques for searching purpose. However, their usefulness is limited by computational time, inefficient indexing and retrieval performance. In this paper, we present a simple and efficient image retrieval model based on the semantic features that uses histograms and Gabor wavelet techniques for extracting the features of the image. The proposed method is tested through simulation in comparison with the existing approaches and the results are encouraging.

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