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An Efficient Tumor Segmentation of MRI Brain Images Using Thresholding and Morphology Operation

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dc.contributor.author Myint, Hla Hla
dc.contributor.author Aung, Soe Lin
dc.date.accessioned 2020-03-17T04:22:04Z
dc.date.available 2020-03-17T04:22:04Z
dc.date.issued 2020-02-28
dc.identifier.isbn 978-1-7281-5925-6
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/2516
dc.description.abstract In medical image processing, segmentation of the internal structure of brain is the fundamental task. The precise segmentation of brain tumor has great impact on diagnosis, monitoring, treatment planning for patients. Various segmentation techniques are widely used for brain Magnetic Resonance Imaging (MRI). The aim of this paper presents an efficient method of brain tumor segmentation. Morphological operation, pixel extraction threshold based segmentation and Gaussian high pass filter techniques are used in this paper. Thresholding is the simplest approach to separate object from the background, and it is an efficient technique in medical image segmentation. Morphology operation can be used to extract region of brain tumor. This system converts the RGB image to gray scale image and removes the noise by using Gaussian high pass filter. Gaussian high pass filter produced sharpen image and that improves the contrast between bright and dark pixels. This method will help physicians to identify the brain tumor before performing the surgery. en_US
dc.language.iso en en_US
dc.publisher Proceedings of the Eighteenth International Conference On Computer Applications (ICCA 2020) en_US
dc.subject Image segmentation en_US
dc.subject Thresholding en_US
dc.subject Morphology operation en_US
dc.subject Preprocessing en_US
dc.title An Efficient Tumor Segmentation of MRI Brain Images Using Thresholding and Morphology Operation en_US
dc.type Article en_US

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