An image mosaic technique with non-overlapping regions based on microscopic vision in precision assembly

作     者：Yawei Li Xiaodong Wang Tao Wang Yi Luo Yawei Li;Xiaodong Wang;Tao Wang;Yi Luo

作者机构：Key Laboratory for Micro/Nano Technology and System of Liaoning ProvinceDalian University of TechnologyDalian 116024China Key Laboratory for Precision and Non-Traditional Machining of Ministry of EducationDalian University of TechnologyDalian 116024China 

出 版 物：《Nanotechnology and Precision Engineering》 (纳米技术与精密工程（英文）)

年 卷 期：2023年第6卷第4期

页      面：66-74页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 0702[理学-物理学] 

基　　金：supported by the Liaoning Revitalization Talents Program(Grant No.XLYC2002020) the Major Project of Basic Scientific Research of Chinese Ministry(Grant No.JCYK2016205A003). 

主　　题：Image mosaic Microscopic vision Visual measurement Precision assembly 

摘      要：Microscopic vision has been widely applied in precision assembly.To achieve sufficiently high resolution in measurements for precision assembly when the sizes of the parts involved exceed the field of view of the vision system,an image mosaic technique must be used.In this paper,a method for constructing an image mosaic with non-overlapping areas with enhanced efficiency is proposed.First,an image mosaic model for the part is created using a geometric model of the measurement system installed on a X-Y-Z precision stages with high repeatability,and a path for image acquisition is established.Second,images are captured along the same path for a specified calibration plate,and an entire image is formed based on the given model.The measurement results obtained from the specified calibration plate are utilized to identify mosaic errors and apply compensation for the part requiring measurement.Experimental results show that the maximum error is less than 4μm for a camera with pixel equivalent 2.46μm,thereby demonstrating the accuracy of the proposed method.This image mosaic technique with non-overlapping regions can simplify image acquisition and reduce the workload involved in constructing an image mosaic.