基于小波分析的医学超声图像去噪与增强研究

去除超声斑点噪声,增强图像以提高图像质量是医学图像处理的重要课题。论文提出基于小波分析的超声图像去噪与增强方法。首先是结合自适应方向加权中值滤波和小波半_软阈值去噪法有效抑制了斑点噪声,保留必要的细节;然后采用基于小波变换高频增强法增强图像并用同态增晰法增强对比度,有效地改善图像的质量;最后从去噪图像和评价指标上与常用斑点去噪法进行了比较。实验表明,该方法优于其他方法,具有实际的应用价值。

Study on the Medical Ultrasonic Image Denoising and Enhancement Based on the Analysis via Wavelet

Removing ult ra sound image speckle and enhancing image to improve the quality of image is the i mportant item of medical image processing.A method of medical ultrasonic image denoising and enhancement based on wavelet analysis is proposed in this paper .First,combining adaptive&direction weighted median filter with semi_soft th reshold via wavelet preserve more image details while suppress speckle effective ,then,we apply high components strengthened and homomorphic enhancement to i ncrease contrast and improve image quality,finally,comparing with other speckl e de-noising methods by quality and quantity.The experiment indicates that th e method better than other methods.It has prac-tical value.