Applications in the Denoising of Ultrasound Breast Image based on Simplified PCNN

To put forward a novel denoising method-simplified pulse-coupled neural network(SPCNN),and it was applied in the filtering of breast cancer ultrasound image.First,we used the simplified PCNN to fix the position of extreme impulse noise,salt and pepper noise were removed by the median filter.Second,the Gaussian noise by adjusting the gray value adaptively was removed by using PCNN time matrix with category filter.Experiments show that the method is effective,and it can be applied in the filtering of the ultrasound breast cancer.In addition,the experimental results demonstrate that the method has advantages in the filtering effect and detail preservation for the mixed noise,it is also effective on removing noise and preserving detail information in the breast cancer ultrasound image,it is confirmed that the method has good performance on medical diagnosis.