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D. Suganthi
Arulmigu Meenakshi Amman College of Engineering (AMACE), Namandi Post, Thiruvannamalai (India)
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The accurate and effective algorithm for segmenting image is very useful in many fields, especially in medical image. In this paper we introduced a novel method that focus on segmenting the brain MR Image that is important for neural diseases. Because of many noises embedded in the acquiring procedure, such as eddy currents, susceptibility artifacts, rigid body motion, and intensity inhomogeneity, segmenting the brain MR image is a difficult work. In this algorithm, we overcame the inhomogeneity shortage, by modifying the objective function with compensating its immediate neighborhood effect using Gaussian smooth method for decreasing the influence of the inhomogeneity and increasing the segmenting accuracy. With simulate image and the clinical MRI data, the experiments shown that our proposed algorithm is effective.
KEYWORDS: FCM Cluster; Brain MRI; Image segmentation; Whiter matter| Copy the following to cite this article: Suganthi D. Modified Fuzzy C-Means Algorithm and its Application. Orient. J. Comp. Sci. and Technol;4(2) |
| Copy the following to cite this URL: Suganthi D. Modified Fuzzy C-Means Algorithm and its Application. Orient. J. Comp. Sci. and Technol;4(2). Available from: http://www.computerscijournal.org/?p=2519 |
