Anisotropic diffusion filtering method with weighted directional structure tensor

摘要

The anisotropic diffusion filtering algorithm has excellent smoothing performance for medical images, but the normal diffusion filtering algorithm will blur the edges and details. In this paper, we construct weighted directional structural tensor (WDT) and propose an anisotropic diffusion filtering method based on the WDT to overcome the fuzzy appearance drawback. The proposed algorithm first constructs the directional structure tensor based on the traditional structure tensor, and then add the definition of the weight in the non-local mean to construct WDT. To further protect the edges and small structural features of the image, we also set the diffusion weighting coefficient according to the eigenvalues of DWT to construct directed diffusion tensor. Experimental results indicate that the proposed method shows better performance than other filtering methods, and greatly improves the image sharpness, presents better image details and maintains the edge contours while denoising. (C) 2019 Elsevier Ltd. All rights reserved.