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MRI brain lesion segmentation using generalized opposition-based glowworm swarm optimization.
- Source :
- International Journal of Wavelets, Multiresolution & Information Processing; Sep2016, Vol. 14 Issue 5, p-1, 29p
- Publication Year :
- 2016
-
Abstract
- An improved glowworm swarm optimization algorithm with generalized opposition-based learning is proposed in this paper and is used in segmentation for magnetic resonance images. Noises are removed and intensity inhomogeneities are corrected in the MR images. Next, a clustering technique with glowworm swarm optimization algorithm with generalized opposition based learning is used. Finally, lesions are separated from the normal tissues of the brain in the post-processing step. The performance of the proposed methodology based on both numerical and visual results are compared with K-means and particle swarm optimization based methodologies over two sets of MR images. The experimental results demonstrate that the proposed methodology statistically outperforms other methodologies. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02196913
- Volume :
- 14
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- International Journal of Wavelets, Multiresolution & Information Processing
- Publication Type :
- Academic Journal
- Accession number :
- 117760425
- Full Text :
- https://doi.org/10.1142/S0219691316500417