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Authors
Affiliations
1 Department of Computer Science and Engineering, SRM University, IN
Source
Fuzzy Systems, Vol 7, No 4 (2015), Pagination: 103-107
Abstract
In the recent ascensions of the electronic era, brain tumor segmentation in magnetic resonance imaging (MRI) has become popular interest in the field of medical imaging system. Brain tumor segmentation helps the user to determine the precise size of the tumors. We have suggested a synergistic and an effective algorithm for the detection of brain tumors based on Median filtering, K Means Segmentation, FCM Segmentation, and finally, threshold segmentation. In this proposed approach we enhance the quality of the tumor images acquired by the aid of MRI and then to detect the size of the tumors, approximate reasoning are applied.
Keywords
Brain Tumors, MRI, Image Segmentation, K Means Segmentation, Thresholding Segmentation. FCM Segmentation.
