Koo J I, Park S B
Department of Electrical Engineering, Korea Advanced Institute of Science & Technology, Seoul.
Ultrason Imaging. 1991 Jul;13(3):211-37. doi: 10.1177/016173469101300301.
In this paper, we propose a new post formation adaptive image filtering technique, to be called the homogeneous region growing mean filter, in order to reduce speckle noise with edge preservation in medical ultrasonic images. First, to find a proper seed region, an initially assumed seed region, which is larger than the average speckle size around a given filtering point, is successively contracted according to a certain local homogeneity criterion. Once the seed region is determined, the next step is to grow the homogeneous region successively based on some measures of local homogeneity and similarity of the neighboring region. The output of the proposed filter for each filtering point is obtained from the arithmetic mean of the grown locally homogeneous region. Several simulation results are presented to illustrate the performance of the proposed filter. They show that the proposed technique effectively smoothes ultrasonic speckle and completely suppresses isolated impulsive noise over the entire texture in addition to preserving the edge information.
在本文中，我们提出了一种新的后形成自适应图像滤波技术，称为均匀区域生长均值滤波器，以减少医学超声图像中的斑点噪声并保留边缘信息。首先，为了找到合适的种子区域，一个初始假设的种子区域，其大于给定滤波点周围的平均斑点大小，根据一定的局部均匀性准则依次收缩。一旦确定了种子区域，下一步就是基于相邻区域的局部均匀性和相似性的一些度量依次生长均匀区域。所提出的滤波器对每个滤波点的输出是从生长后的局部均匀区域的算术平均值获得的。给出了几个仿真结果来说明所提出滤波器的性能。结果表明，所提出的技术有效地平滑了超声斑点，除了保留边缘信息外，还完全抑制了整个纹理中的孤立脉冲噪声。
