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A Modified Watershed Algorithm for Stellar Image

by Dibyendu Ghoshal, Pinaki Pratim Acharjya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 13
Year of Publication: 2012
Authors: Dibyendu Ghoshal, Pinaki Pratim Acharjya
10.5120/7251-0365

Dibyendu Ghoshal, Pinaki Pratim Acharjya . A Modified Watershed Algorithm for Stellar Image. International Journal of Computer Applications. 47, 13 ( June 2012), 38-43. DOI=10.5120/7251-0365

@article{ 10.5120/7251-0365,
author = { Dibyendu Ghoshal, Pinaki Pratim Acharjya },
title = { A Modified Watershed Algorithm for Stellar Image },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 13 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number13/7251-0365/ },
doi = { 10.5120/7251-0365 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:47.894722+05:30
%A Dibyendu Ghoshal
%A Pinaki Pratim Acharjya
%T A Modified Watershed Algorithm for Stellar Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 13
%P 38-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A modified gray scale watershed image segmentation algorithm suitable for low contrast image has been proposed. Digital images acquired from far away stellar objects (like stars, planets, galaxies, comets etc. ) are prone to be severally affected by various types of noises and the contrast of these categories of images are generally found to be low. In present study, a preserving de noising method is presented by a contrast adjustment based on adaptive histogram equalization technique. The proposed method has been found to yield satisfactory segmentation of the stellar images. The entropy of the original and the segmented image is compared and the result confirms to the reality.

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Index Terms

Computer Science
Information Sciences

Keywords

Stellar Image Segmentation Watersheds

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