Nonparametric region-based active contour models have been widely used in the field of image segmentation. The proposed new model which is based on the use of the structure tensor and the Wasserstein distance belongs to this category. First

the classical tensor structure method is extended in order to express the gradient and color information of the original images. Using the extended tensor structure method

an image can yield more feature channels and more features of the texture can be extracted. Then

we use the Wasserstein distance between each pixels’ local distribution functions of the image intensities to segment the image domain so that the local histograms within each region are approximately homogeneous. Some numerical mechanisms are introduced into the approach

which obviously reduce the computational complexity of the model. Comparing with related studies

experimental results show that proposed model is more precise and stable.