Color and texture features for content based image retrieval system

Authors:
A. J. Nirmal;V. B. Gaikwad
Affiliations:
University Mumbai, India;University Mumbai, India
Venue:
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Year:
2011

Citing 2
Cited 0

Content-Based Image Retrieval Using Multiresolution Color and Texture Features

IEEE Transactions on Multimedia
Image retrieval using BDIP and BVLC moments

IEEE Transactions on Circuits and Systems for Video Technology

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Abstract

Content Based Image Retrieval System retrieves images using color, texture and shape properties of the image. Different methods which are implemented in this paper are Discrete wavelet transform (DWT), Gabor wavelet transform (GWT), Color histogram (CH), color autocorrelogram (CA). Integration of color and texture features is done using different methods and their comparison is done using precision and recall as performance measures. .DWT (D) method is implemented using the combination of statistical mean and standard deviation features and perceptual feature directionality. The best results are obtained with GWT (A) + CH method as compared to all other ten methods as phase information from the Gabor transformed coefficients is taken into consideration.