International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,January 2018,

Topic : A Study of Brain Tumor MRI Image Using Distance Based Clustering Algorithms

Authors:Dr. O.A. Mohamed Jafar || J. Zehara Sulthana

Abstract:Brain tumor segmentation is a challenging problem. The medical expert can analyze the MRI (Magnetic Resonance Imaging) but this activity is error-prone and time consuming process. Data clustering is the process of grouping similar objects. Existing brain tumor segmentation methods use Euclidean distance metric. In this paper, a study of hard and fuzzy methods based on different distance metrics – Manhattan and Chebyshev used for brain tumor segmentation is done. The result of Adaptive Fuzzy K-means (AFKM) is compared with K-means and Fuzzy K-means (FKM) algorithms. The AFKM based on Chebyshev distance gives better result than K-means and FKM techniques in terms of accuracy and quantitative measurements..

Keywords: Image Segmentation, Clustering, K-means, FKM, AFKM, MRI, Distance Metrics

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DOI: 01.1617/vol5/iss1/pid75298


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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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