齿面形状误差测量中干涉图像有效测量区域分割方法的对比研究  

Comparison and Analysis of Effective Measurement Area Segmentation Methods in Tooth Surface Interference Fringe Pattern

作　　者：戴雨志 盛晓超 杨鹏程[1,2] 朱新栋 DAI Yuzhi;SHENG Xiaochao;YANG Pengcheng;ZHU Xindong(School of Mechanical and Electrical Engineering,Xi’an Polytechnic University,Xi’an 710600,China;Xi’an Key Laboratory of Modern Intelligent Textile Equipment,Xi’an 710600,China;State Key Laboratory of Mechanical Manufacturing System Engineering,Xi’an Jiaotong University,Xi’an 710049,China)

机构地区：[1]西安工程大学机电工程学院,陕西西安710600 [2]西安市现代智能纺织装备重点实验室,陕西西安710600 [3]西安交通大学机械制造系统工程国家重点实验室,陕西西安710049

出　　处：《机械与电子》2021年第5期3-7,14,共6页Machinery & Electronics

基　　金：国家自然科学基金资助项目(51905412);陕西省教育厅2020年度自然科学一般专项科学研究计划(20JK0644);大学生创新创业项目(S201910709033)。

摘　　要：针对激光干涉法测量齿轮齿面形状误差时干涉图像中有效测量区域识别的问题,对几种经典的干涉图像分割算法进行了对比分析。首先,选取了相对调制度法、齿面物体像灰度法、同组干涉图共同过滤法这3种经典分割方法;其次,从理论上分析了各算法;然后,通过在渐开线圆柱斜齿轮的2组干涉图像中进行实验,将这3种方法应用于分割2组干涉图像的有效测量区域并对分割结果进行分析讨论;最后,明确了这3种方法的优缺点及适用情况,并给出了选取建议。Aiming at the problem of identifying the effective measuring region in the interferogram when laser interferometry is used to measure the shape error of gear tooth surface,several classical interferogram segmentation algorithms are compared and analyzed.Firstly,three classical segmentation methods are selected,namely,the relative modulation method,the grayscale method of the tooth surface object image,and the common filtering method of the same set of interferograms.Secondly,each algorithm is analyzed theoretically.Then,through experiments in two groups of interference images of involute cylindrical helical gear,these three methods are applied to the segmentation of the effective measurement region of the two groups of interference images and the segmentation results are analyzed and discussed.Finally,the advantages,disadvantages and application of these three methods are clarified,and the selection suggestions are given.

关 键 词：边界提取 图像灰度 干涉测量 条纹图像 

分 类 号：TH132.41[机械工程—机械制造及自动化] TP391.4[自动化与计算机技术—计算机应用技术]