Abstract: a fuzzy C means with spatial constraint is proposed FCMs (constraints, FCMs) clustering and variational level set of image fuzzy clustering segmentation model. In this model, an external fuzzy clustering energy based on the local information and spatial information of image is introduced, so that the accurate spatial characteristics of local image can be obtained, which makes this model have strong robustness to the clustering segmentation of noise image. Different types of experimental images are used This model is compared with 10 different types of image segmentation models. The experimental results show that this model can overcome the influence of noise in the image and achieve satisfactory clustering segmentation results

Abstract: This paper proposes an image fuzzy clustering segmentation model combined with FCMS clustering and variational level set method. An external fuzzy clustering energy based on local information and spatial information of the image is introduced in the energy functional to enable us to extract the accurate spatial information of the local image. Therefore, the proposed model is robust to noisy image segmentation. The experiment results illustrate that the proposed model, compared with 10 different models, can overcome the influence of noise and obtain better segmentation results for different images.