MRI Image Segmentation Using Bat Optimization Algorithm with Fuzzy C Means (BOA-FCM) Clustering
2021 ◽
Vol 11
(3)
◽
pp. 661-666
Keyword(s):
Functional and anatomical information extraction from Magnetic Resonance Images (MRI) is important in medical image applications. The information extraction is highly influenced by the artifacts in the MRI images. The feature extraction involves the segmentation of MRI images. We present a MRI image segmentation using Bat Optimization Algorithm (BOA) with Fuzzy C Means (FCM) clustering. Echolocation of bats is utilized in Bat Optimization Algorithm. The proposed segmentation technique is evaluated with existing segmentation techniques. Results of experimentation shows that proposed segmentation technique outperforms existing methods and produces 98.5% better results.
2020 ◽
Vol 4
(1)
◽
pp. 51
◽
2018 ◽
Vol 8
(9)
◽
pp. 1776-1781
◽
2021 ◽
Vol 14
(2)
◽
pp. 11-21
2021 ◽
Vol 12
(1)
◽
pp. 29-39
Keyword(s):
2020 ◽
Vol 108
◽
pp. 135-144
◽
2013 ◽
Vol 2013
◽
pp. 1-13
◽