International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume3,May 2016,

Topic : A Comparative Study of Region-Based Segmentation Algorithms on Brain MRI Images

Authors:Kavyashree G || Sudheesh K V

Abstract:Image Segmentation is the one of the principle component of image processing. In medical image processing the segmentation play an important role for classification, image analysis, and extraction of brain tumour, Different image segmentation methods are used for examination of medical images but efficient segmentation methods lead to accurate diagnosis. In this paper, we review the different segmentation algorithm on MRI Brain Images has been presented in order to obtain the accurate algorithm. The segmentation algorithms has been divided into four categories K-means, Fuzzy c means, Special constrained Fuzzy-c-means and Expectation Maximization. Efficient algorithm is obtained by computing the evaluation criteria such as Martin Criteria, Probability rand index and Variation of information..

Keywords: K-means, Fuzzy c means, Special Constrained fuzzy c means and Expectation Maximization. Evaluation criteria such as martin criteria, Probability rand index and Variation of information

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DOI: 01.1617/vol3iss5pid264

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Editor Image

Dr.Zhongfu Tan
National Professor,
North China Electric Power University,

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ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
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