Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 6: EECSI 2019

Implementation of Image Segmentation Techniques to Detect MRI Glioma Tumour

Siti Rafidah Binti Kassim (Visual Art and Computing)
Setyawan Widyartoh (Visual Art and Computing)
Mohammad Syafrullah (Universitas Budi Luhur)
Krisna Adiyarta (Universitas Budi Luhur)
Widya Kumala Sari (Sari)



Article Info

Publish Date
18 Sep 2019

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.

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Journal Info

Abbrev

EECSI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...