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Evaluation of Performance of Fuzzy C Means and Mean Shift based Segmentation for Multi-Spectral Images
by
Sandeep Kaur,
Shikha Chawla
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 120 - Number 16 |
| Year of Publication: 2015 |
| Authors: Sandeep Kaur, Shikha Chawla |
10.5120/21312-4287
|
Sandeep Kaur, Shikha Chawla . Evaluation of Performance of Fuzzy C Means and Mean Shift based Segmentation for Multi-Spectral Images. International Journal of Computer Applications. 120, 16 ( June 2015), 25-28. DOI=10.5120/21312-4287
@article{
10.5120/21312-4287,
author = {
Sandeep Kaur,
Shikha Chawla
},
title = { Evaluation of Performance of Fuzzy C Means and Mean Shift based Segmentation for Multi-Spectral Images },
journal = {
International Journal of Computer Applications
},
issue_date = { June 2015 },
volume = { 120 },
number = { 16 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = {
25-28
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume120/number16/21312-4287/
},
doi = { 10.5120/21312-4287 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:23.643739+05:30
%A Sandeep Kaur
%A Shikha Chawla
%T Evaluation of Performance of Fuzzy C Means and Mean Shift based Segmentation for Multi-Spectral Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 16
%P 25-28
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Image Segmentation has become very useful vision application because it can be used in many image processing applications. An image segmentation results in an images where each object is differentiated from other one. Many segmentation techniques have been proposed so far to get accurate segmentation results. This paper has focused on Mean Shift and Fuzzy C means clustering algorithm to segment multispectral images in more accurate manner.
References
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Index Terms
Computer Science
Information Sciences
Keywords