The Brain Tumor Segmentation Using Fuzzy C-Means Technique
Jyotsna Rani, Ram Kumar, Fazal Ahmed Talukdar, Nilanjan Dey · Advances in civil and industrial engineering book series · 2017
Image segmentation is a technique which divides an image into its constituent regions or objects. Segmentation continues till we reach our area of interest or the specified object of target. This field offers vast future scope and challenges for the researchers. This proposal uses the fuzzy c mean technique to segment the different MRI brain tumor images. This proposal also shows the comparative results of Thresholding, K-means clustering and Fuzzy c- means clustering. Dice coefficient and Jaccards measure is used for accuracy of the segmentation in this proposal. Experimental results demonstrate the performance of the designed method.