This paper presents brain MRI segmentation for lesion detection using fire-fly based hard-clustering algorithm. First, MR images are denoised using median filter and denoised images are segmented using fire-fly based clustering algorithm. After segmentation, lesioned regions are extracted from segmented MR images. The performance of the proposed method is evaluated using quantitative measurement index. A comparative study is made with k-means and Fuzzy c-means algorithms. The experiment results demonstrate that the proposed method performs better than other two methods.
CITATION STYLE
Manna, P., & Si, T. (2016). Brain MRI segmentation for lesion detection using clustering with fire-fly algorithm. In Advances in Intelligent Systems and Computing (Vol. 394, pp. 1347–1355). Springer Verlag. https://doi.org/10.1007/978-81-322-2656-7_122
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