基于相关函数的超声图像方位跳变检测和校正

摘要

In order to solve the problem of appearing the phase jitter phenomenon on the television logging image, a method of detecting the phase jitter logging image is proposed, which is based on correlative feature. The correlative feature of ultrasound image logging between adjacent rows is used to automatically search the jumping position and phase difference, then the image according to the jumping position and phase difference cyclically moved, and ultimately the goal of correcting the image is achieved. The experimental results show that the algorithm can very accurately auto-correct the azimuth jump image, which has very important practical significance on processing the well logging data.%为了解决超声电视测井成像图像中出现的方位跳变问题,提出了一种利用相关特征来检测方位跳变测井图像的方法.该方法利用超声测井图像相邻行之间相关性来自动搜索图像出现方位跳变的深度位置和方位差,根据跳变深度位置和方位差来循环平移图像,最终实现校正图像的目标.实验结果证明,该方法能准确地自动校正方位跳变的图像.对实际测井资料的处理过程具有重要的实际意义.