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Medical Image Segmentation by Evolutionary Approach and Watershed Morphology

by Ahmad El Allaoui, M’barek Nasri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 24
Year of Publication: 2012
Authors: Ahmad El Allaoui, M’barek Nasri
10.5120/7505-0616

Ahmad El Allaoui, M’barek Nasri . Medical Image Segmentation by Evolutionary Approach and Watershed Morphology. International Journal of Computer Applications. 47, 24 ( June 2012), 24-28. DOI=10.5120/7505-0616

@article{ 10.5120/7505-0616,
author = { Ahmad El Allaoui, M’barek Nasri },
title = { Medical Image Segmentation by Evolutionary Approach and Watershed Morphology },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 24 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number24/7505-0616/ },
doi = { 10.5120/7505-0616 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:42:43.326151+05:30
%A Ahmad El Allaoui
%A M’barek Nasri
%T Medical Image Segmentation by Evolutionary Approach and Watershed Morphology
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 24
%P 24-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Segmentation by watershed transform is a fast, robust and widely used in image processing and analysis, but it suffers from over-segmentation. We present in this paper some improvements to this algorithm based on the evolutionary algorithm and mathematical morphology in order to get over this difficulty. The performance of this method is validated on medical images. The results obtained show the good performance of this approach.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Processing Medical Image Segmentation Watershed Evolutionary Algorithm Dilatation Mathematical Morphology

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