Open AccessVarious Techniques used for MRI Brain Image Segmentation
Author(s) -
Sana Ali,
Jitendra Agrawal
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l3861.129219
Subject(s) - segmentation , computer science , artificial intelligence , image segmentation , image processing , computer vision , representation (politics) , pattern recognition (psychology) , scale space segmentation , modalities , task (project management) , image (mathematics) , social science , management , sociology , politics , political science , law , economics
Image processing methods stems from processing of images from storing, transmitting and representation for autonomous machine perception. It is widely used technique in all engineering areas including diagnosis and treatment of diseases in Medical Science. Segmentation of non trivial images is one of the most challenging task because it requires more sophisticated method to differentiate between each region. The objective of this paper is to provide comprehensive overview of various segmentation methods used for MRI brain images. Hence, study of existing algorithms is all important for achieving accuracy. First, we briefly discuss about brain tumors, imaging modalities of brain and then several segmentation algorithms surveyed in this work. Complexities of existing algorithms and the segmentation outputs and analysis has also been discussed in observations.