Survey on MR image segmentation using fuzzy C-Means algorithm
Purva Singh, Kashish Arora, Shivin Sinha, R. Sathyaraj · International Journal of Engineering Research · 2017
An authentic and up to-date analysis in case of any disease is basic demand in the field of medical sciences as this might escalate the probability of endurance of a human. The role of image segmentation is important for most tasks demanding image analysis. Various image segmentation techniques are being utilized for diagnosis of medical images. However authentic segmentation of MRI (Medical Resonance Image) is of grave importance for exact analysis by computer assisted clinical apparatus. Our paper gives a survey of recent MRI segmentation approaches that uses FCM algorithm. In this paper, we have reviewed four MRI segmentation algorithms that are selected from literature survey. To overcome the flaws of traditional FCM, the reviewed methods have altered the objective function of traditional FCM and also unified its spatial information in the objective function.