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A Proposed Relational Fuzzy C-Means Algorithm Applied to 2D Gel Image Segmentation

by Shaheera Rashwan, Amany Sarhan, Bayumy A.youssef
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 3
Year of Publication: 2012
Authors: Shaheera Rashwan, Amany Sarhan, Bayumy A.youssef
10.5120/6757-8471

Shaheera Rashwan, Amany Sarhan, Bayumy A.youssef . A Proposed Relational Fuzzy C-Means Algorithm Applied to 2D Gel Image Segmentation. International Journal of Computer Applications. 45, 3 ( May 2012), 1-7. DOI=10.5120/6757-8471

@article{ 10.5120/6757-8471,
author = { Shaheera Rashwan, Amany Sarhan, Bayumy A.youssef },
title = { A Proposed Relational Fuzzy C-Means Algorithm Applied to 2D Gel Image Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 3 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number3/6757-8471/ },
doi = { 10.5120/6757-8471 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:37.739807+05:30
%A Shaheera Rashwan
%A Amany Sarhan
%A Bayumy A.youssef
%T A Proposed Relational Fuzzy C-Means Algorithm Applied to 2D Gel Image Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 3
%P 1-7
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

One of the new and promising algorithms appeared in the area of image segmentation is the Fuzzy C-Means algorithm. This algorithm has been used in many applications such as: data analysis, pattern recognition, and image segmentation. It has the advantages of producing high quality segmentation compared to the other available algorithms. Our work in this paper will be based on the Fuzzy C-Means algorithm and by adding the relational fuzzy notion to it so as to enhance its performance especially in the area of 2-D gel images. The simulation results of comparing the Fuzzy C-Means (FCM) and the proposed algorithm Relational Fuzzy C-Means (RFCM) on 2D gel images acquired from: Human leukemias, HL-60 cell lines and Fetal alcohol syndrome (FAS) show the improvement achieved by the proposed algorithm in overcoming the over-segmentation error.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzification Image Segmentation Protein Spot Detection 2d Gel Images

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