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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics
Widya Kumala Sari
Sari
Computer Science & IT Electrical & Electronics Engineering

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Implementation of Image Segmentation Techniques to Detect MRI Glioma Tumour Siti Rafidah Binti Kassim; Setyawan Widyartoh; Mohammad Syafrullah; Krisna Adiyarta; Widya Kumala Sari
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.2011

Abstract

Image identification to detect a tumour needs several stages of image processing along with identifying analysis. To get an accurate segmentation of the tumour contour and to identify brain tumour based on brain magnetic resonance imaging (MRI), a suitable techniques and stages of image processing are required to be applied. One technique of mid-level image processing became an objective this work. The objective of the study is to segment the boundary of tumour by applying the Modification of Region Fitting (MRF) method in term of data fitting. The performance of the Region Scalable Fitting (RSF) method and Modified Region Scalable Fitting (MRSF) is evaluated by comparing the number of iterations. As the result, the MRF method has successfully segmented the initial region of braintumour images.
Co-Authors Krisna Adiyarta Mohammad Syafrullah Setyawan Widyartoh Siti Rafidah Binti Kassim