[1]张 恒,杨鹏程,张津京,等. 融合仿射与透视变换模型的干涉图像双级配准方法[J].机械与电子,2026,44(01):16-21.
　ZHANG Heng,YANG Pengcheng,ZHANG Jinjing,et al. A Two-stage Registration Method for Interferometric Images Fused with Affine-perspective Transformation Mode[J].Machinery & Electronics,2026,44(01):16-21.
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 融合仿射与透视变换模型的干涉图像双级配准方法()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
44
期数:
2026年01期
页码:
16-21
栏目:
智能检测
出版日期:
2026-01-27

文章信息/Info

Title:
 A Two-stage Registration Method for Interferometric Images Fused with Affine-perspective Transformation Mode
文章编号:
1001-2257(2026)01-0016-06
作者:
 张 恒1; 杨鹏程1; 张津京1; 苗嘉鈜1; 朱新栋2
 1.西安工程大学机电工程学院,陕西 西安 710048;2.西安交通大学物理学院物质非平衡合成与调控教育部重点实验室,陕西 西安 710049
Author(s):
 ZHANG Heng1; YANG Pengcheng1; ZHANG Jinjing1; MIAO Jiahong1; ZHU Xindong2
 1.School of Mechanical and Electrical Engineering,Xi’an Polytechnic University,Xi’an 710048,China;2.Key Laboratory of Non Equilibrium Synthesis and Regulation of Matter of the Ministry of Education,School of Physics,Xi’an Jiaotong University,Xi’an 710049,China
关键词:
激光干涉测量; 图像配准; 透视变换; 仿射变换; 相位解包裹
Keywords:
laser interference; image registration; perspective transformation; affine transformation; phase unwrapping
分类号:
TN247;TP391.4
文献标志码:
A
摘要:
 针对斜入式激光干涉测量系统中因大入射角测量光、被测螺旋齿面特性及系统光学元件等因素导致的几何畸变,从而降低配准精度的问题,提出了一种融合仿射与透视变换模型的齿面干涉图像双级配准方法。首先分析齿面干涉图像的畸变来源;然后采用Shi-Tomasi角点检测算法提取实测齿面图像中的边界特征点,通过仿射变换对仿真齿面像进行全局配准,在此基础上进一步引入透视变换模型,实现局部区域更为精细的配准;最后,设计对比实验,将所提方法与3种经典配准算法进行对比分析。实验结果表明,所提方法在实测边界与仿真点边界点对距离的平均值指标上提升了约21%,有效提高了配准精度和效率。
Abstract:
In oblique incidence laser interferometry system,the geometric distortions arising from high incidence angle measurement beams,characteristics of measured helical tooth surfaces,and optical components can compromise registration accuracy.To address this issue,this paper proposes a dual stage registration method for dental surface interferograms that integrates affine and perspective transformation models.Firstly,the sources of distortion in dental surface interferograms are analyzed.The Shi-Tomasi corner detection algorithm is then employed to extract boundary feature points from the measured tooth surface images.An affine transformation is applied to perform global registration of the simulated tooth surface images with respect to the measured ones.On this basis,a perspective transformation model is further introduced to achieve finer local registration between the two sets of images.Finally,comparative experiments are designed to evaluate the proposed method against three classical registration algorithms.Experimental results demonstrate that the proposed method improves the average distance index between measured and simulated boundary point pairs by approximately 78%,effectively enhancing both registration accuracy and efficiency.

参考文献/References:

 [1] DE GROOT P J.A review of selected topicsin interferometric optical metrology[J].Reports on progress in physics,2019,82(5):056101.
[2] 王兆辉,杨鹏程,徐晋,等.齿面干涉测量系统的成像畸变分析与光路优化[J].中国机械工程,2022,33(10):1219-1225.
[3] 石照耀,王涛.齿轮三维测量中线结构光测头位姿的优化方法[J].仪器仪表学报,2022,43(7):44-53.
[4] YIN W X,ZANG X Z,WU L,et al.A distortion correction method based on actual camera imaging principles[J].Sensors,2024,24(8):2406.
[5] CHEN Z Q,FANG S P,WANG X,et al.Object image and modulation based method to segment gear tooth flank region from interference fringe patterns[J].Optical engineering,2024,63(5):054105.
[6] HU Y L,WANG L,LIU R,et al.A coarse to fine registration method for satellite infrared image and visual image[J].Spectroscopy and spectral analysis,2013,33(11):2968-2972.
[7] 杨福嘉,郑丽颖.基于SIFT 的新特征提取匹配算法[J].应用科技,2019,46(2):94-97.
[8] FANG S P,WANG L J,LIU S Q,et al.Positioning the actual interference fringe pattern on the tooth flank in measuring gear tooth flanks by laser interferometry[J].Optical engineering,2011,50(5):055601.
[9] YANG P C,FANG S P,MENG L,et al.Shield analysis and non rigid match in positioning the actual interferogram on the tooth flank based on oblique incidence interferometry[J].Optik,2013,124(20):4307-4312.
[10] YANG P C,LI X C,MENG J,et al.Incident angle optimization with multiple conflicting objectives based on BP MOPSO in oblique laser interferometry[J].Optics communications,2024,563:130564.
[11] ZHU X D,LIAN L P,YANG P C,et al.Simulated wrapped phase optimizes phase retrieval in phase shifting interferometry[J].Optics letters,2023,48(2):211-214.
[12] 胡涛,茅健.基于降采样和改进Shi Tomasi角点检测算法的 PCB 图像拼接[J].电子测量技术,2024,44(22):134-140.
[13] ELGHOUL S,GHORBEL F.A fast and robust affine invariant method for shape registration under partial occlusion[J].International journal of multimedia information retrieval,2022,11:39-59.
[14] 崔帅华,余磊,朱俊卿,等.基于透视变换的直升机桨根扭转角测量方法[J].应用光学,2023,44(2):412-419.
[15] ZANG Y S,LI C S,TANG J J,et al.A composite surface registration method for freeform surface evaluation based on ICP coarse registration and PSO fine registration[J].Optics and lasers in engineering,2025,193:109079.
[16] WANG Z X,FU Z Z,XU J.Large scale UAV image stitching based on globalregistration optimization and graph cut method[J].Journal o fvisual communication and image representation,2025,107:104354.
[17] 徐明,刁燕,罗华,等.基于改进的SURF算子和透视变换模型的图像配准[J].计算机与数字工程,2020,48(3):671-677.

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备注/Memo

备注/Memo:
收稿日期:2025-09-30
基金项目:陕西省科学厅自然科学基金研究计划面上项目(2022JM-219);国家自然科学基金青年项目(51905412)
作者简介:张 恒 (2001-),男,陕西西安人,硕士研究生,研究方向为激光干涉测量;杨鹏程 (1985-),男,河南信阳人,博士,硕士研究生导师,研究方向为激光干涉测量,通信作者,E-mail:yangpengcheng@xpu.edu.cn。
更新日期/Last Update: 2026-03-09