Research Article
Medical Image Segmentation using Penalized FCM and Pollination based Optimization Approach
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 118 - Issue 4 |
| Published: May 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 },
year = { 2015 },
volume = { 118 },
number = { 4 },
pages = { 32-35 },
doi = { 10.5120/20737-3117 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Husanjot Kaur
%A Rekha Bhatia
%T Medical Image Segmentation using Penalized FCM and Pollination based Optimization Approach%T
%J International Journal of Computer Applications
%V 118
%N 4
%P 32-35
%R 10.5120/20737-3117
%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.
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