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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Universitas Negeri Medan
2018
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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) |
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Electronic computers. Computer science QA75.5-76.95 |
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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 |
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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 |
_version_ |
1718409208388386816 |