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  Published Paper Details:

  Paper Title

MRI IMAGE OF BRAIN TUMOR DETECTION USING THRESHOLD AND WATERSHED SEGMENTATION

  Authors

  S.SABARINATHAN,  M.Poonguzhali,  M.RAMAKRISHNAN

  Keywords

Brain tumor, grey scale imaging, MRI, MATLAB, morphology, noise removal, segmentation.

  Abstract


Medical image processing is the most challenging and emerging field today. This paper describes the methodology of detection & extraction of brain tumor from patient�s MRI scan images of the brain. In this paper, a method for segmentation of brain tumor has been developed on 2D-MRI data which allows the identification of tumor tissue with high accuracy and reproducibility compared to manual techniques. This method incorporates with some noise removal functions, segmentation and morphological operations which are the basic concepts of image processing. Detection and extraction of tumor from MRI scan images of the brain is done by using MATLAB software. The aim of this work is to design an automated tool for brain tumor quantification using MRI image data sets.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2011316

  Paper ID - 200879

  Page Number(s) - 2712-2716

  Pubished in - Volume 8 | Issue 11 | November 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  S.SABARINATHAN,  M.Poonguzhali,  M.RAMAKRISHNAN,   "MRI IMAGE OF BRAIN TUMOR DETECTION USING THRESHOLD AND WATERSHED SEGMENTATION ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 11, pp.2712-2716, November 2020, Available at :http://www.ijcrt.org/papers/IJCRT2011316.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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