Open AccessAn Effective Segmentation of Tissues from MR Brain Images
Author(s) -
B. Papachary,
M Amru,
S Rama Kishore Reddy
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1964/6/062029
Subject(s) - segmentation , artificial intelligence , computer science , cluster analysis , image segmentation , pattern recognition (psychology) , filter (signal processing) , scale space segmentation , segmentation based object categorization , computer vision , brain tissue , medicine , biomedical engineering
Segmentation of MR brain image is quite useful in detection of tissues and further diagnosis. However, precise segmentation of tissues plays a significant role in diagnosing the patient more effectively. Previously, there are plenty of approaches was implemented and however they were failed to detect the exact tissue which led to the failure diagnosis. Therefore, an accurate detection of tissue is required for effective diagnosis. Here, this article presented an efficient segmentation of MR brain image tissues. Our approach includes a hybrid clustering mechanism with pre-processed by median filter. In addition, tissue area also estimated for better diagnosis of patient. In terms of computational complexity and segmentation accuracy the superiority of proposed hybrid approach over conventional segmentation algorithms of simulation results was disclosed.