文章基本信息

标题：Invariant Moments based War Scene Classification using ANN and SVM: A Comparative Study
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作者：Daniel Madan Raja S ; Shanmugam A
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：2011
卷号：3
期号：2
页码：767-774
出版社：Engg Journals Publications
摘要：In this paper we are trying to classify a war scene from the natural scene. For this purpose two set of image categories are taken viz., opencountry & war tank. By using Invariant Moments features are extracted from the images. The extracted features are trained and tested with (i) Artificial Neural Networks (ANN) using feed forward back propagation algorithm and (ii) Support Vector Machines (SVM) using radial basis kernel function with p=5. The comparative results are proving efficiency of Support Vector Machines towards war scene classification problems by using Invariant Moment feature extraction method. It can be concluded that the proposed work significantly and directly contributes to scene classification and its new applications. The complete work is experimented in Matlab 7.6.0 using real world dataset.
关键词：Invariant Moments; Scene Classification; Artificial Neural Networks and Support Vector Machine