基于形态学串行运算的CMUT水下扇形扫描探测

CMUT for Underwater Sector Scanning Detecting Based on Morphological Serial Computing Algorithm

针对水下扇形扫描范围广、图像数据量有限引起的重建图像远场末端"裂缝"问题,本文在双立方漏点像素插值处理的基础上,提出了一种线性元素开运算和椭圆体元素闭运算的形态学串行算法,用于对重建图像的填充滤波。为了验证优化方法的性能,制定了CMUT阵列水下扫描探测方案,并搭建了相应探测系统,实验验证了该形态学串行运算算法实现了重建图像的填充,提高了信噪比和连续性,为水下探测目标识别提供有力依据。

Aiming at the problem of＂crack＂in the distal end of the reconstructed image caused by the wide sector scanning range and limited image data,the morphological serial computing algorithm of linear element opening operation and ellipsoid elements closing operation are proposed based on the pixel point interpolation of double cubic leak.The algorithm is used to fill and filte for the reconstruction images.In order to determine the algorithm optimization performance,the paper develops CMUT array underwater detecting scheme and sets up the corresponding imaging detecting systems.The experiment results show the morphological serial computing algorithm realizes the filling of reconstruction image,improves the signal noise ratio and the continuity,and provides a strong basis for the identification of underwater detection target.