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Segmentation Techniques for Medical Images – An Appraisal

by S. Rakoth Kandan, J. Sasikala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 153 - Number 10
Year of Publication: 2016
Authors: S. Rakoth Kandan, J. Sasikala
10.5120/ijca2016912174

S. Rakoth Kandan, J. Sasikala . Segmentation Techniques for Medical Images – An Appraisal. International Journal of Computer Applications. 153, 10 ( Nov 2016), 27-31. DOI=10.5120/ijca2016912174

@article{ 10.5120/ijca2016912174,
author = { S. Rakoth Kandan, J. Sasikala },
title = { Segmentation Techniques for Medical Images – An Appraisal },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 153 },
number = { 10 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume153/number10/26440-2016912174/ },
doi = { 10.5120/ijca2016912174 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:58:47.372940+05:30
%A S. Rakoth Kandan
%A J. Sasikala
%T Segmentation Techniques for Medical Images – An Appraisal
%J International Journal of Computer Applications
%@ 0975-8887
%V 153
%N 10
%P 27-31
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This Paper provides the various analyses of Image Segmentation techniques for any field of image processing based applications. Segmentation is considered as a basic need in image processing for find the lines, curves, boundaries, etc in an image. In order to classify the segmentation techniques such as GA, Neural Network, Soft Computing and various image segmentation techniques and their performances analysis is done. Based on the performance analysis of segmentation techniques has been analyzed and conclude that each technique as best under the various field.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Segmentation Neural network GA Soft Computing

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