传感技术学报2016，Vol.29Issue(9)：1328-1334,7.DOI:10.3969/j.issn.1004-1699.2016.09.005
基于快速归一化算法的拉伸距离动态跟踪测量
Stretched Distance Measurement Using Dynamic Tracking Based on the Fast Normalized Cross-Correlation Algorithm
摘要
Abstract
The video extensometer tracks movement of two marked lines on surface of the specimen and calculate the shifted distance of the marked lines in the axial direction tensile experiment. So the displacement of the specimen are derived. During stretching movement in non-axial direction or the skid between the specimen and the fixture will be generated. The traditional line detection method will be failed to track marked lines or deviate from marked lines which will cause test error. In this paper,fast normalized cross-correlation algorithm is used to track movement of marked lines when measurement micro-strain properties of the material. Down-sampling is proposed to speed up tracking sample rectangles to meet requirement of real-time measurement. Furthermore the hyperbolic tangent func⁃tion is used to fit sub-pixel edge points in this paper. And detected edges of marked lines to achieve the measure⁃ment of distance. Hardware and software systems are designed. Experiments show that this system achieves the sub-pixel level edge detection ensuring real-time measurement. The absolute maximum error is less than 0.005 mm.关键词
视频引伸机/动态跟踪/快速归一化互相关/亚像素边缘检测Key words
video extensometer/dynamic tracking/fast normalized cross-correlation/sub-pixel edge detection分类
信息技术与安全科学引用本文复制引用
卢宇,卢荣胜,郭广平,张腾达..基于快速归一化算法的拉伸距离动态跟踪测量[J].传感技术学报,2016,29(9):1328-1334,7.基金项目
国家科技支撑项目（2011BAK15B07）；国家重大科学仪器开发专项项目 （）
