Image retrieval based on wavelet computation and neural network classification

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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%.

Original languageEnglish
Title of host publication8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007
PublisherIEEE Computer Society
Pages44
Number of pages1
ISBN (Print)076952818X, 9780769528182
DOIs
StatePublished - 2007
Event8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007 - Santorini, Greece
Duration: 6 Jun 20078 Jun 2007

Publication series

Name8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007

Conference

Conference8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007
Country/TerritoryGreece
CitySantorini
Period6/06/078/06/07

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