Image segmentation is an important task in computer vision and plays a critical role in many fields. Fuzzy Active Contour Model (FACM) has been widely applied in image segmentation because it can handle complex shape changes. However, it is difficult for current FACMs to obtain ideal performance when segmenting noisy images. Therefore, this paper proposes a Total Variation Diffusion-Guided Fuzzy Active Contour Model (TVDGFACM), which formulates noisy image segmentation as a hierarchical fusion process. Specifically, this model introduces total variation and adaptively fuses anisotropic and isotropic diffusion mechanisms to suppress noise interference while preserving image edges. Moreover, T... More >