Image Denoising for Jacquard Fabrics Texture Based on Allen-Cahn Level Set Model

Deals with the problem of shape distortion and the poor adaptation to topological evolution in denoising of fabric textures under noisy environment.A novel noise removal algorithm for jacquard fabrics textures was proposed,and a level set formulation for the Allen-Cahn equation was discussed. The algorithm combined the merits of Allen-Cahn equation and level set denoising technology.First, the Allen-Cahn equation was put forward to generate area-preserving mean curvature motion.Then a level set formulation was developed to evolve curves arising in texture image.The proposed formulation also provided easier and more robust edge estimation and threshold strategies.Experimental results show that the proposed algorithm is feasible,and reaches an obvious effect in terms of edge-preserving image denoising.