Medical image enhancement based on New anisotropic diffusion function
Sondes Tebini, Hassene Seddik, Ezzedine Ben Braiek · 2017
Regarding to the problems that can be encountered in the analysis step of medical images, removing noise is an important processing for better diagnosis. This work deals with a new anisotropic method for medical image filtering. This method is based on an innovative conduction function. We show that the new algorithm offers an efficient noise removal while protecting edges without any blur of the image details.