医学B超图像降噪处理的三种方法比较

Comparison of Three Methods in Decreasing Noise of Medical B Model Ultrasonic Images

针对医学B超图像的噪声特点,将采集到的医学B超图像输入计算机,然后用Matlab语言编制中值滤波、自适应滤波和小波阈值降噪程序,分别对同一图像运用3种方法降噪,并比较结果,得出其图像质量都有所改善,且自适应滤波和小波阈值降噪方法处理的效果更好,尤其是小波方法更优越一点.

According to the feature of the noise in the medical B model ultrasonic images, the medical B model ultrasonic images are transferred into computer, and the program on median value filter, selfadaptive filter and wavelet images threshold noise reducing filter are compiled to decrease the noise of the same image. The effects of three methods are compared. The result proves that the image qualities are all improved. The effects of the self adaptive filter and wavelet images threshold noise reducing filter are better than that of median filter, and the wavelet images threshold noise reducing filter is the best.