Image Retrieval based on Wavelet Computation and Neural Network Classification

Authors:
A. C. Gonzalez-Garcia;J. H. Sossa-Azuela;E. M. Felipe-Riveron
Affiliations:
Technologic Institute of Toluca, Mexico;Center for Computing Research, National Polytechnic Institute, Mexico;Center for Computing Research, National Polytechnic Institute, Mexico
Venue:
WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
Year:
2007

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Abstract

We describe a simple way to retrieve images from a database. During training a wavelet-based description of the histogram of circular window of each image is first obtained using Daubechies 4- wavelet transformation. Resulting coefficients are used to train a neural network (NN). For image retrieval an image is presented to the system. The system responds with the most similar images. Results are given two different databases. With first database a 98.44% of efficiency with training images was obtained; a 50 % was obtained with images different from those used for training. With the second database corresponding efficiencies were of 88% and 64%.