Thresholding and Filtering Based Brain Tumor Segmentation on MRI Images

The brain is the interior most part of the central nervous system and is an intracranial solid neoplasm. Tumour’s are created by an abnormal and uncontrollable cell division in the brain. In this work, axial view of the brain image (2D) from MRI scan has been used because MRI scan is less harmful th...

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Published inInternational journal for research in applied science and engineering technology Vol. 11; no. 3; pp. 1164 - 1167
Main Authors Lohare, Deepali N., Manza, Ramesh R., Telgad, R
Format Journal Article
LanguageEnglish
Published 31.03.2023
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Summary:The brain is the interior most part of the central nervous system and is an intracranial solid neoplasm. Tumour’s are created by an abnormal and uncontrollable cell division in the brain. In this work, axial view of the brain image (2D) from MRI scan has been used because MRI scan is less harmful than CT brain scan. The study of brain tumor is important as it is occurring in many people. In this paper, an image segmentation process was proposed for the identification or detection of tumor from the brain. The methodology consists of the following steps: pre-processing by using grey-level, sharpening and median filters; segmentation of the image was performed by thresholding and also by applying the watershed segmentation. Finally the tumor region was obtained with its area [1].
ISSN:2321-9653
2321-9653
DOI:10.22214/ijraset.2023.48615