摘要
在圆拟合定位算法的基础上,采用增加预处理的方法进行改进,通过改进后的自适应TV修复技术去噪滤波等处理,提高了定位光斑中心位置的精确度。基于Matlab软件进行了改进实验验证表明:采用自适应TV(tolal variation)修复技术能够提供更为准确的中心坐标;在光斑夹杂噪声的情况下,光斑中心横坐标误差小于2个像素,而纵坐标误差在1个像素之内,验证了算法具有较高的精度。
Based on the circle fitting location algorithm,the pretreatment method is used for the improvement.By using the technologies such as the improved adaptive TV repair technology for denoising and filtering,etc.,the accuracy of the facula center location is increased.The improved experiment based on Matlab software verifies and shows that the adaptive TV repair technology can provide more accurate central coordinates,and under the condition of light inclusion and noise,the error of the central horizental coordinates is less than two pixels and the error of the vertical ordinate is within one pixel,which proves that the algorithm has high accuracy.
作者
秦运柏
徐汶菊
朱君
Qin Yunbai;Xu Wenju;Zhu Jun(College of Electronic Engineering, Guangxi Normal University, Guilin 541004, China)
出处
《实验技术与管理》
CAS
北大核心
2018年第5期60-63,67,共5页
Experimental Technology and Management
基金
广西自然科学基金项目(2015GXNSFBA139257)
广西师范大学重点项目(2015ZD03)
广西师范大学青年干教师成长支持计划项目(师政人事(2012)136)
广西研究生教育创新计划项目(xycsz2017054)
关键词
光斑中心定位
TV修复技术
圆拟合法
facula center location
TV repair technology
circle fitting method
