一种新型的超声图像斑点噪声抑制算法

A New Algorithm for Ultrasound Image Speckle Suppression

针对斑点超声图像用传统的提取算法很难取得理想的效果,该文提出了一种基于各向异性扩散方程的超声图像斑点噪声抑制算法,新算法结合了鲁棒估计并考虑了斑点噪声特性,在有效抑制斑点噪声的同时具有更佳的鲁棒性,从而更好地保留甚至增强边缘细节信息。进而又提出了一种自动计算斑点尺度系数的方法,减少了人为因素的影响,提高了算法的稳定性。

Ultrasound image has a lot of speckle noise, which brings great difficulties to the feature extraction, recognition and analysis. Especially in the edge extraction, the conventional extraction algorithms are difficult to achieve the desired results because of the speckle noise. To solve this problem, an algorithm based on the anisotropic diffusion equation is presented. The new algorithm combines the robust estimation and considers the characteristic of the speckle noise, so it can suppress the speckle noise effectively and be more robust, thus the edge details of the ultrasound image can be preserved even enhanced, which can provide effective safeguard for the following edge extraction. Furthermore, the paper proposes a new method to compute speckle scale coefficients automatically, which reduces the influence of the human beings, and enhances the stability of the algorithm.