Speckle Noise Suppression of Medical Ultrasound Images Based on the Fusion of Wavelet Transform and SRAD
In order to improve the accuracy and effectiveness of traditional image denoising algorithms,this paper combines the characteristics of medical images and addresses the insufficient edge and detail information preservation capability in the traditional ani-sotropic diffusion speckle reducing algorithm(SRAD),this paper proposes a wavelet analysis-based anisotropic diffusion speckle re-ducing algorithm(Wavelet-SRAD).By performing muti-scale decomposition on ultrasound signals,the SARD algorithm is introduced for anisotropic multi-scale filtering in the low-frequency signals,and the threshold shrinkage algorithm is used in in the high-frequency signals,the gradient operator and Laplacian operator are used to distinguish the gray changes caused by noise or edge changes and im-prove the denoising effect of images.Through simulation experiments of Matlab,the proposed algorithm is compared with traditional median filtering,Gaussian filtering,mean filtering,and SRAD filtering algorithms,which calculates the mean,standard deviation,speckle index,and equivalent visual number to analyze the denoising results,and the denoising effect is visualized from the energy perspective using a grayscale histogram.Experimental results show that compared with traditional image filtering denoising algo-rithms,the improved Wavelet-SRAD algorithm can more accurately and effectively remove speckle noise in medical ultrasound ima-ges,and has a good preservation capability for tissue texture and edge detail information,demonstrating a superior filtering and de-noising performance.Therefore,the improved Wavelet-SRAD filtering denoising algorithm is an effective method for suppressing speckle noise in medical ultrasound images.
万方数据
维普
