文章基本信息

标题：Wavelet Features Based War Scene Classification using Artificial Neural Networks
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作者：S.Daniel Madan Raja ; Dr.A.Shanmugam
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2010
卷号：2
期号：9
页码：3033-3037
出版社：Engg Journals Publications
摘要：This paper addresses the problem of war scene classification. Scene classification underlies many problems in visual perception such as object recognition and environment navigation. Scene classification, the classification of images into semantic categories (e.g. opencountry, mountains, highways and streets) is a challenging and important task nowadays. In this paper we are trying to classify the war scene category from the natural scene category. For this purpose two set of image categories were taken i.e., opencountry & war tank. By using Haar and Daubechies(db4) wavelets the features are extracted from the images. The extracted features are trained and tested with the help of feed forward back propagation algorithm using Artificial neural Networks. The complete work is experimented in Matlab 7.6.0 using real world dataset.
关键词：scene classification; haar and Daubechies wavelet; back propagation; artificial neural networks