# 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. Wu and T. 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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