Review: Segmentation and Morphological Operators Detection of Human Brain Tumor Using MRI Image
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
In this paper, The brain is an anterior or most part of a nervous system. Tumour is rapid uncontrolled growth of cells. Magnetic Resonance Imaging is the device required to diagnose brain tumour. The Normal MR images are not suitable for fine analysis, so segmentation is an important process required for efficiently analyzing the tumour images. Clustering is suitable for biomedical images segmentation as it uses unsupervised learning. Current study uses K-Means clustering where the detected tumour shows some abnormality which is then rectified by the use of morphological operators along with basic image processing techniques to meet the goal of separating the tumour cells from the normal cells. Also tumour growth can be analysed by plotting graph which can be obtained by studying sequential images of tumour affected patient.
Authors and Affiliations
Yashvanti Hajare , Sujata S. Agrawal
Keywords
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