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Medical Image Segmentation using Penalized FCM and Pollination based Optimization Approach

by Husanjot Kaur, Rekha Bhatia
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 4
Year of Publication: 2015
Authors: Husanjot Kaur, Rekha Bhatia
10.5120/20737-3117

Husanjot Kaur, Rekha Bhatia . Medical Image Segmentation using Penalized FCM and Pollination based Optimization Approach. International Journal of Computer Applications. 118, 4 ( May 2015), 32-35. DOI=10.5120/20737-3117

@article{ 10.5120/20737-3117,
author = { Husanjot Kaur, Rekha Bhatia },
title = { Medical Image Segmentation using Penalized FCM and Pollination based Optimization Approach },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 4 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number4/20737-3117/ },
doi = { 10.5120/20737-3117 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:00:50.099752+05:30
%A Husanjot Kaur
%A Rekha Bhatia
%T Medical Image Segmentation using Penalized FCM and Pollination based Optimization Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 4
%P 32-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels, also known as super pixels). The goal of segmentation is to simplify or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc. ) in images. In this paper we are going to discuss various approaches in image segmentation and various segmentation algorithms in image processing and analysis.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Segmentation Medical Images Pollination Fuzzy C-Mean Optimization.

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