Anisotropic Diffusion Filtering Based on Edge Enhancement Operator
Zhiping Zhou · Computer Knowledge and Technology · 2011
For the purpose of further processing like segment,it is necessary to remove noisy while keeping the edge's information in CT image processing.The conventional anisotropic diffusion is effective in removing noises,but it often destructs the structural information of the object in the image because of a sequence of inaccurate diffusions.A new anisotropic diffusion approach based on edge enhancement operator is proposed.At first,gradient threshold K is calculated by using GHAD(Gradient Histogram-Based Anisotropic Diffusion) for anisotropic diffusion.Secondly,an edge enhancement operator is incorporated into the diffusion steps,to obtain the edge details.Experiments on CT images indicate effective preservation of edge,removal of noise by our scheme.