We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

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

by Shaheera Rashwan, Amany Sarhan, Bayumy A.youssef
journal cover thumbnail

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.

References
  1. J. C. Dunn, "A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters", Journal of Cybernetics 3: 32-57, 1973.
  2. J. C. Bezdek, "Pattern Recognition with Fuzzy Objective Function Algorithms", Plenum Press, New York, 1981.
  3. Mihaela Gordan, Constantine Kotropoulos, Apostolos Georgakis, Ioannis Pitas," A New Fuzzy C-Means Based Segmentation Strategy Applications to Lip Region Identification", 2002 IEEE-TTTC International Conference on Automation, Quality and Testing, Robotics, Cluj-Napoca, Romania, May 23-25, 2002.
  4. Meyer, F. , "Topographic distance and watershed lines", Signal Process. 38, 113–125, 1994.
  5. B. Macgibbon and M. Preus, "The Distorted Shell Method of Clustering for Syndrome Classification," Am J Hum Genet 31:498- 507, 1979.
  6. Malik Sikandar, Hayat Khiyal, Aihab Khan, Amna Bibi and Fatima Jinnah, "Modified Watershed Algorithm for Segmentation of 2D Images," Issues in Informing Science and Information Technology Volume 6, 2009.
  7. S. Chabrier, B. Emile, H. Laurent, C. Rosenberger, and P. Marche, "Unsupervised evaluation of image segmentation application to multispectral images," Proc. of the 17th international conference on pattern recognition, 2004.
  8. Weiling Cai, Songcan Chen, Daoqiang Zhang, "Fast and Robust Fuzzy C-Means Clustering Algorithms Incorporating Local Information for Image Segmentation," Pattern Recognition, Vol. 40, 825—838, 2007.
  9. Hui Zhang, Jason E. Fritts, and Sally A. Goldman, "Image Segmentation Evaluation: A Survey of Unsupervised Methods," Computer Vision and Image Understanding - CVIU , vol. 110, no. 2, pp. 260-280, 2008.
  10. www. ccrnb. ncifcrf. gov/2DgelDataSets
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzification Image Segmentation Protein Spot Detection 2d Gel Images

Powered by PhDFocusTM