INFORMATION CHANGE THE WORLD

International Journal of Engineering and Manufacturing(IJEM)

ISSN: 2305-3631 (Print), ISSN: 2306-5982 (Online)

Published By: MECS Press

IJEM Vol.6, No.6, Nov. 2016

Optimal Segmentation Framework for Detection of Brain Anomalies

Full Text (PDF, 496KB), PP.26-37


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Author(s)

Nageswara Reddy P, C.P.V.N.J.Mohan Rao, Ch.Satyanarayana

Index Terms

Brain MR Images;T1 Images;HMA;Watershed Method;EM-GM Method;Multilateral Filter;Optimal Unification

Abstract

This work presents an enhancement in accuracy for brain disorder detection using optimal unification. The strategy for detection of segments and brain regions causing medical conditions are described. This work demonstrates the application of multilateral filter and applied watershed method with EM-GM method. The most popular existing techniques of brain tumor detection are not optimal compared to this combination of Watershed and EM-GM technique with the proposed optimal unification technique. The result is optimally unified and achieved high accuracy. The multilateral filter enhances the image edges for better segmentation using signal amplitude moderation of the pixel. In the unification process, the optimal sets of segments are divided and finest merged results are considered with the brain regions detected with anomalies. Henceforth the number of possible medical investigations will be reduced.

Cite This Paper

Nageswara Reddy P, C.P.V.N.J.Mohan Rao, Ch.Satyanarayana,"Optimal Segmentation Framework for Detection of Brain Anomalies", International Journal of Engineering and Manufacturing(IJEM), Vol.6, No.6, pp.26-37, 2016.DOI: 10.5815/ijem.2016.06.03

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