Invariant Moments based War Scene Classification using ANN and SVM: A Comparative Study
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 2
Abstract
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.
Authors and Affiliations
Daniel Madan Raja S , Shanmugam A
Keywords
Related Articles
- EP ID EP129470
- DOI -
- Views 116
- Downloads 0
An Algorithm for Better Decision Tree
The present paper aims at constructing the decision tree for a given database which adopts an improved ID3 decision tree algorithm to implement data mining in order to predict the output. The database is generated using...
ANN and Fuzzy Logic Models for the Prediction of groundwater level of a watershed
Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Groundwater is a highly valuable resource. Measurement and analysis...
Implementation of Secured password for Web applications using two server model
The secured password is the most commonly used uthentication mechanism in security applications [11]. There ay be chances of password hacking from the hackers, so hat t is very essential to protect password informati...
Multi-agent Based Charges subsystem for Supply Chain Logistics
The main objective of this paper is to design charges subsystem using multi agent technology which deals with calculation, accrual and collection of various charges levied at the goods in a supply chain Logistics. Accrua...
Study on the Customer targeting using Association Rule Mining
Data mining is one of the widest area where many researches takes place to mine desired and hidden data. There are many different approaches to find the hidden data. This paper deals with Frequent Pattern growth algorith...