Image Retrieval Based on Wavelet Transform and Neural Network Classification

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Bibliographic Details
Main Author: A. C. Gonzalez Garcia
Format: Artículo científico
Language:en
Published: Instituto Politécnico Nacional 2007
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_version_ 1876427958324822016
author A. C. Gonzalez Garcia
author_facet A. C. Gonzalez Garcia
contents Image Retrieval Based on Wavelet Transform and Neural Network Classification A. C. Gonzalez Garcia J. H. Sossa Azuela E. M. Felipe Riveron O. Pogrebnyak Computación Image Retrieval Wavelet Transform Neural Classification The problem of retrieving images from a database is considered. In particular, we retrieve images belonging to one of the following six categories: 1) commercial planes in land, 2) commercial planes in air, 3) war planes in land, 4) war planes in air, 5) small aircraft in land, and 6) small aircraft in the air. During training, a wavelet-based description of each image is first calculated using Daubechies 4-wavelet transformation. The resulting coefficients are used to train a neural network (NN). During classification, test images are treated by the already trained NN. Three different ways to obtain the coefficients of the Daubechies transform were proposed and tested: from the entire image color channels, from the histogram of the biggest circular window inside the image color channels, and from the histograms of the square sub-images in the image color channels of the original image. 120 images were used for training and 240 for testing. The best efficiency of 88% was obtained with the third method. 2007 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61511205 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.11
format Artículo científico
id redalyc_61511205
institution Redalyc
language en
publishDate 2007
publisher Instituto Politécnico Nacional
spellingShingle Image Retrieval Based on Wavelet Transform and Neural Network Classification
A. C. Gonzalez Garcia
Computación
Image Retrieval
Wavelet Transform
Neural Classification
Image Retrieval Based on Wavelet Transform and Neural Network Classification A. C. Gonzalez Garcia J. H. Sossa Azuela E. M. Felipe Riveron O. Pogrebnyak Computación Image Retrieval Wavelet Transform Neural Classification The problem of retrieving images from a database is considered. In particular, we retrieve images belonging to one of the following six categories: 1) commercial planes in land, 2) commercial planes in air, 3) war planes in land, 4) war planes in air, 5) small aircraft in land, and 6) small aircraft in the air. During training, a wavelet-based description of each image is first calculated using Daubechies 4-wavelet transformation. The resulting coefficients are used to train a neural network (NN). During classification, test images are treated by the already trained NN. Three different ways to obtain the coefficients of the Daubechies transform were proposed and tested: from the entire image color channels, from the histogram of the biggest circular window inside the image color channels, and from the histograms of the square sub-images in the image color channels of the original image. 120 images were used for training and 240 for testing. The best efficiency of 88% was obtained with the third method. 2007 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61511205 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.11
title Image Retrieval Based on Wavelet Transform and Neural Network Classification
topic Computación
Image Retrieval
Wavelet Transform
Neural Classification
url https://www.redalyc.org/articulo.oa?id=61511205