Edge Detection to Indication Brain Tumor Using Sobel and Morphological Operations Methods Based on Image Magnetic Resonance Imaging

Brain tumors are the second leading cause of death in the world in children under 20, scientists and researchers are developing applications to react brain tumors based on magnetic resonance imaging images. In this application the method used is sobel and morphological operations. Based on research...

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Autores principales: Oscar Adriyanto, Halim Agung
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Publicado: Universitas Negeri Medan 2018
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Acceso en línea:https://doaj.org/article/06ee4789715440fcbe173aeadbd0e5f3
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spelling oai:doaj.org-article:06ee4789715440fcbe173aeadbd0e5f32021-11-27T05:26:25ZEdge Detection to Indication Brain Tumor Using Sobel and Morphological Operations Methods Based on Image Magnetic Resonance Imaging2502-71312502-714X10.24114/cess.v3i2.10024https://doaj.org/article/06ee4789715440fcbe173aeadbd0e5f32018-08-01T00:00:00Zhttps://jurnal.unimed.ac.id/2012/index.php/cess/article/view/10024https://doaj.org/toc/2502-7131https://doaj.org/toc/2502-714XBrain tumors are the second leading cause of death in the world in children under 20, scientists and researchers are developing applications to react brain tumors based on magnetic resonance imaging images. In this application the method used is sobel and morphological operations. Based on research conducted on brain tumor edge detection based on magnetic resonance imaging image, sobel method can reduce the noise contained in the image mri and can localize the edge of the image of Magnetic Resonance Imaging well. This research can conclude that the sobel method is suitable for edge detection but there is still some unprocessed noise, with the results of the brain imaging of 30 test images have 60% percentage, while for the use of edge detection method of 62.11%.Oscar AdriyantoHalim AgungUniversitas Negeri MedanarticleElectronic computers. Computer scienceQA75.5-76.95IDCESS (Journal of Computer Engineering, System and Science), Vol 3, Iss 2, Pp 179-185 (2018)
institution DOAJ
collection DOAJ
language ID
topic Electronic computers. Computer science
QA75.5-76.95
spellingShingle Electronic computers. Computer science
QA75.5-76.95
Oscar Adriyanto
Halim Agung
Edge Detection to Indication Brain Tumor Using Sobel and Morphological Operations Methods Based on Image Magnetic Resonance Imaging
description Brain tumors are the second leading cause of death in the world in children under 20, scientists and researchers are developing applications to react brain tumors based on magnetic resonance imaging images. In this application the method used is sobel and morphological operations. Based on research conducted on brain tumor edge detection based on magnetic resonance imaging image, sobel method can reduce the noise contained in the image mri and can localize the edge of the image of Magnetic Resonance Imaging well. This research can conclude that the sobel method is suitable for edge detection but there is still some unprocessed noise, with the results of the brain imaging of 30 test images have 60% percentage, while for the use of edge detection method of 62.11%.
format article
author Oscar Adriyanto
Halim Agung
author_facet Oscar Adriyanto
Halim Agung
author_sort Oscar Adriyanto
title Edge Detection to Indication Brain Tumor Using Sobel and Morphological Operations Methods Based on Image Magnetic Resonance Imaging
title_short Edge Detection to Indication Brain Tumor Using Sobel and Morphological Operations Methods Based on Image Magnetic Resonance Imaging
title_full Edge Detection to Indication Brain Tumor Using Sobel and Morphological Operations Methods Based on Image Magnetic Resonance Imaging
title_fullStr Edge Detection to Indication Brain Tumor Using Sobel and Morphological Operations Methods Based on Image Magnetic Resonance Imaging
title_full_unstemmed Edge Detection to Indication Brain Tumor Using Sobel and Morphological Operations Methods Based on Image Magnetic Resonance Imaging
title_sort edge detection to indication brain tumor using sobel and morphological operations methods based on image magnetic resonance imaging
publisher Universitas Negeri Medan
publishDate 2018
url https://doaj.org/article/06ee4789715440fcbe173aeadbd0e5f3
work_keys_str_mv AT oscaradriyanto edgedetectiontoindicationbraintumorusingsobelandmorphologicaloperationsmethodsbasedonimagemagneticresonanceimaging
AT halimagung edgedetectiontoindicationbraintumorusingsobelandmorphologicaloperationsmethodsbasedonimagemagneticresonanceimaging
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