基于小波变换的医学超声图像去噪方法研究(2)

Abstract

Abstract:Medical ultrasound imaging is a kind of important medical imaging diagnosis based on ultrasonic technology. Ultrasonic imaging compared to CT, nuclear magnetic resonance (NMR) and other diagnostic technique has the obvious superiority,With its cheap, convenient, quick, high security, a dynamic and repeat scan widely used in clinical advantages of medical diagnosis. But the ultrasonic imaging also has its shortcomings, the most important is the diagnostic accuracy of ultrasonic imaging vulnerable to outside interference, make the image quality is poorer, affect a diagnosis. Such ultrasound images of the denoising became an important question. Because the ultrasound images is contained in the noise is a kind of multiplicative noise spots, so that medical ultrasound image denoising became a very complex and difficult process.

Wavelet transform is in last few years developed a kind of transformation analysis method, it has a short-time Fourier transform the characteristics of localization, and to

provide a on frequency change time-frequency window, signal and image processing is the ideal tool. Because of wavelet transform in the time domain and frequency domain and has good localization characteristics, so the wavelet transform in the denoising performance of widely used.

Ultrasound images of the denoising is the premise of ultrasonic diagnosis, it behind the recognition of illness and diagnosis have very important influence, so the ultrasonic image denoising in medical image processing has its important significance. Around the