A modified Gabor function for content based image retrieval

Authors:
Challa S. Sastry;M. Ravindranath;Arun K. Pujari;B. L. Deekshatulu
Affiliations:
Artificial Intelligence Laboratory, Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, AP 500 046, India;Artificial Intelligence Laboratory, Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, AP 500 046, India;Artificial Intelligence Laboratory, Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, AP 500 046, India;Artificial Intelligence Laboratory, Department of Computer and Information Sciences, University of Hyderabad, Hyderabad, AP 500 046, India
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

As the Gabor filters are direction dependent, the Gabor transform of an image is to be performed for all chosen directions. Thus the set of angles used in Gabor feature extraction does affect the results in applications such as Content Based Image Retrieval (CBIR). In the present work, we modify the Gabor filter suitably in such a way that the modified function besides being free from the choice of angles is as effective as the Gabor function itself. Additionally, our method of extraction of features is invariant to rotation in images. Our simulation results demonstrate that the modified Gabor based method being useful for CBIR shows better retrieval performance than the standard Gabor based method.