一种成像测量靶面同心圆的自适应检测算法

针对特殊环境下基于CCD成像的高准确度测量系统中,由于摄像机沿轴运动和绕轴旋转过程中其光学中心和靶面同心圆圆心不同心及同心圆图像的圆心在一定范围内随机变化而影响测量结果问题,提出了一套基于小范围内改进的Hough变换的共点直线检测快速算法、基于统计采样的同心圆分割区域自动划分算法、基于最小二乘拟合的同心圆参量高准确度检测算法.实现了对同心圆的自适应区域划分和高准确度检测.仿真和试验证明了该算法的有效性.

A New Concentric Circles Adaptive High Accuracy Detection Algorithms in Measurement Based on Image

In order to high accuracy measurement based on CCD image in special environment,a suit of algorithms such as local image improve fast hough transform with common point diameter detection, concentric region area auto partition base on statistical sampling,high accuracy detect of concentric parameters base on least squares fitting are proposed.With these approaches the concentric segmentation region area adaptive partition and parameters high precision detecting are realized,and a difficult problem that the alteration center of the concentric in target image are resolved.Experimentation and simulation shows the algorithms are high practical,and can be used in the other situation as the same type.