A soft multiphase segmentation model via Gaussian mixture

This paper developed a new soft multiphase segmentation model. Different from most maximum-likelihood based and Bayesian-estimation based methods, the proposed model introduced a geometrical constraint- ¿the length term¿ into the model which makes the model more rigorous in analysis while still flexible in implementation. Moreover, the model used mixed Gaussian with different parameters for different patterns. As a result, it is more robust to noise. The experiments demonstrated its high efficiency.