An image segmentation method based on Type-2 fuzzy Gaussian Mixture Models

This paper proposes a new image segmentation method based on Type-2 fuzzy Gaussian Mixture Models (T2 FGMMs). First, the core-region and the open-region of image are extracted according to spatial information of pixels. Then, the GMMs parameters are estimated by EM algorithm. The interval in which T2 FGMMs parameters vary is constrained by the GMMs parameters of the core-region and the open-region of image. Finally, Bayesian decision is used to realize image segmentation. In the end, the method is compared with image segmentation using Otsu´s method, FCM and GMM. Experiments demonstrate the effectiveness of this method.