Research on Breast Ultrasound Image Denoising Algorithm Based on Improved BM3D
Low noise,high contrast images can greatly improve the accuracy of doctors'diagnosis of disease.In order to solve the problem that speckle noise is introduced into the acquisition and transmission of breast ultrasound images,which leads to the deterioration of image quality and affects the early diagnosis of breast cancer,a denoising algorithm for breast ultrasound images based on improved BM3D is proposed.First-ly,a DBSCAN based superpixel segmentation method is introduced to segment the original image to obtain the corresponding superpixel label matrix;Then,using the super pixel label matrix to guide the block matching process in the BM3D algorithm can reduce the search time of the blocks to be matched,and on the other hand,the super pixel label also provides auxiliary information for similar block metrics,improving the accuracy of block matching;Finally,the hard threshold filtering in the BM3D algorithm is improved,and adaptive noise parameter estimation further improves the denoising effect.Experimental results show that the equivalent number of views of the improved BM3D algorithm is 1.75％higher than that of the traditional BM3D algorithm,and the edge retention index is 2.56％higher,while the processing time of the algorithm is reduced by 51.26％.The improved BM3D algorithm is a practical method that takes into account both noise removal effects and runtime.
万方数据
维普
