A Robust Fuzzy Algorithm Based on Student's t-Distribution and Mean Template for Image Segmentation Application

@article{Zhang2013ARF,
  title={A Robust Fuzzy Algorithm Based on Student's t-Distribution and Mean Template for Image Segmentation Application},
  author={Hui Zhang and Q. M. Jonathan Wu and Thanh Minh Nguyen},
  journal={IEEE Signal Processing Letters},
  year={2013},
  volume={20},
  pages={117-120}
}
Fuzzy c-means (FCM) with spatial constraints has been considered as an effective algorithm for image segmentation. Student's t-distribution has come to be regarded as an alternative to Gaussian distribution, as it is heavily tailed and more robust for outliers. In this letter, we propose a new algorithm to incorporate the merits of these two approaches. The advantages of our method are as follows: First, we incorporate the local spatial information and pixel intensity value by considering the… CONTINUE READING
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