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A Supervised Classifier for Natural Images

Published on October 2013 by A. Kalaivani, M. Deepika, S. Janarathanan
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National Conference on Recent Trends in Computer Applications
Foundation of Computer Science USA
NCRTCA - Number 1
October 2013
Authors: A. Kalaivani, M. Deepika, S. Janarathanan
b117c478-d266-4614-9bfa-5dff47c2d28a

A. Kalaivani, M. Deepika, S. Janarathanan . A Supervised Classifier for Natural Images. National Conference on Recent Trends in Computer Applications. NCRTCA, 1 (October 2013), 22-27.

@article{
author = { A. Kalaivani, M. Deepika, S. Janarathanan },
title = { A Supervised Classifier for Natural Images },
journal = { National Conference on Recent Trends in Computer Applications },
issue_date = { October 2013 },
volume = { NCRTCA },
number = { 1 },
month = { October },
year = { 2013 },
issn = 0975-8887,
pages = { 22-27 },
numpages = 6,
url = { /proceedings/ncrtca/number1/13636-1307/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computer Applications
%A A. Kalaivani
%A M. Deepika
%A S. Janarathanan
%T A Supervised Classifier for Natural Images
%J National Conference on Recent Trends in Computer Applications
%@ 0975-8887
%V NCRTCA
%N 1
%P 22-27
%D 2013
%I International Journal of Computer Applications
Abstract

Image Classification is used to organize images so that they fall into different thematic classes. Image classification leads to easy retrieval of data based on the text query by the user. The main idea behind image segmentation is to make the images easier to recognize dominating objects from the background. Images are classified based on the low level features. In this paper, an efficient supervised classifier is identified for classifying natural images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Block Segmentation Feature Extraction Supervised Classification .