基于小波变换与模糊理论的医学超声图像增强与去噪方法研究

摘要

Medical ultrasound image enhancement and denoising has been an important subject of medical image processing. Aiming at the shortcomings of the traditional ultrasonic image enhancement processing algorithm, this paper proposes a kind of ultrasonic image enhancement and denoising algorithm based on wavelet analysis theory and fuzzy theory, first of all for medical ultrasound images logarithmic transform, transform multiplicative noise into additive noise;Then multi-scale wavelet transform, the ultrasonic image to get images of high frequency and low frequency wavelet coefficients; Low frequency coefficient enhanced in the fuzzy domain, the high frequency coefficients of wavelet soft threshold denoising;The last of the enhanced image is obtained by wavelet reconstruction. Experiments show that the proposed algorithm can effectively enhance the visual effect of ultrasound images and remove noise, and has certain application value and significance.%医学超声图像的增强与去噪一直是医学图像处理的重要课题，针对传统超声图像增强处理算法的不足，本文提出一种基于小波分析理论和模糊理论的超声图像增强与去噪算法，首先对医学超声图像进行对数变换，将乘性噪声转换成加性噪声；然后再对超声图像进行多尺度小波变换，得到图像的高频和低频小波系数；再对低频系数进行模糊域增强，对高频系数进行小波软阈值去噪；最后通过小波重构得到增强后的图像。实验证明，该算法能有效增强超声图像的视觉效果，去除噪声，具有一定的应用价值和意义。