Paper Title:
Fuzzy Expectation Maximum Algorithm for Magnetic Resonance Image Segmentation
  Abstract

Fuzzy clustering algorithm especially the fuzzy c-means (FCM) algorithm has been widely used for segmentation of brain magnetic resonance (MR) images. However, the conventional FCM algorithm has a very serious shortcoming, i.e., the algorithm tends to balance the number of points in each cluster during the classification. Therefore, when this algorithm is applied to segment the MR images with quite different size of objects, it will lead to bad segmentation. To overcome this problem, a novel fuzzy expectation maximization (FEM) algorithm is presented in this paper. The algorithm is developed by extending the classical hard EM algorithm into soft EM algorithm through integrating the fuzzy and statistical techniques. Compared with the FCM algorithm, the experimental results on MR image segmentation clearly indicate that the proposed FEM algorithm has better performance for the segmentation.

  Info
Periodical
Key Engineering Materials (Volumes 439-440)
Edited by
Yanwen Wu
Pages
1618-1623
DOI
10.4028/www.scientific.net/KEM.439-440.1618
Citation
Y. Yang, "Fuzzy Expectation Maximum Algorithm for Magnetic Resonance Image Segmentation", Key Engineering Materials, Vols. 439-440, pp. 1618-1623, 2010
Online since
June 2010
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Ji Gang Wu, Kuan Fang He, Bin Qin
Abstract:Aiming at the subpixle edge detection of speckle in autofocus for micro-machine vision, a novel accurate subpixel edge detection algorithm...
228
Authors: Ravinder Kumar, Pravin Chandra, M. Hanmandlu
Chapter 7: Machining
Abstract:This paper presents a fast and reliable algorithm for fingerprint verification. Our proposed fingerprint verification algorithm is based on...
888
Authors: Da Wang, Hong Yu Bian
Chapter 1: Mechatronics
Abstract:In order to further improve the accuracy of the sonar image registration, a novel hybrid algorithm was proposed. It proposed the normalized...
1811
Authors: Ji Guang Liu, Hai Yang Wang
Chapter 7: Other Related Topics
Abstract:This paper introduces a kind of fuzzy adaptive filtering algorithm. The whole process is divided into four steps. Plenty experimental...
1733
Authors: Si Lian Xie, Tie Bin Wu, Shui Ping Wu, Yun Lian Liu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:Evolutionary algorithms are amongst the best known methods of solving difficult constrained optimization problems, for which traditional...
2846