Zhiming Liu
ABSTRACT
In order to effectively improve the speckle noise suppression ability and preserve edge structure information in medical ultrasound images, an edge enhancement method based on Bayesian Non-Local Means and Convolution Neural Network is proposed in this paper. Firstly, the method performs smoothing filtering based on Bayesian Non-Local Means. And then introduces Local Laplacian Filter to enhance edge of the denoised image to improve the edge preservation ability. Finally, the edge-enhanced images and the speckle noise images as dataset to train Convolutional Neural Network denoising model. The experimental results demonstrate that the proposed method is superior to the traditional denoising algorithms that is compared in both speckle noise suppression and edge information retention.
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- Ultrasound image edge enhancement method based on Bayesian Non-Local Means and Convolution Neural Network
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