上海交通大学学报

上海交通大学学报（自然版）

• 自动化技术、计算机技术 • 上一篇    下一篇

基于离焦图像模糊分析的微装配力测量

蒋如意，刘洪涛，胡文，梁庆华，王石刚
  

  1. （上海交通大学 机械与动力工程学院，上海 200240）
  • 收稿日期:2009-12-28 修回日期:1900-01-01 出版日期:2010-08-31 发布日期:2010-08-31

Microassembly Force Measurement Using Blur Image Analysis

JIANG Ruyi,LIU Hongtao,HU Wen,LIANG Qinghua,WANG Shigang
  

  1. (School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2009-12-28 Revised:1900-01-01 Online:2010-08-31 Published:2010-08-31

摘要： 提出了一种基于机器视觉的微装配力测量新方法.拍摄微夹持器受力变形时的离焦模糊图像，通过建立微夹持器变形力和离焦量之间的关系模型，把求取变形力的问题转化为求取离焦模糊图像的离焦量问题.采用粗精两步计算来求取模糊图像的离焦量，并利用微夹持器的变形曲线来拟合，拟合得到的曲线的参数即为变形力的函数，从而求得变形力.仿真实验证明了所提出的方法的有效性.

关键词: 离焦模糊, 点扩散函数, 马尔可夫随机场, 微力测量

Abstract: A new approach based on machine vision to measure the force during microassembly was proposed. After the acquisition of outoffocus blur image of microgripper under force, with the established model of the relationship between the force and the outoffocus blur parameter, the problem of force measurement is transformed into that of blur parameter identification. A coarsefine blur identification method is then put forwarded, where microgripper’s bending curve is used for curve fitting the blur parameters. The coefficient of the fitted curve has a direct relationship with the force. The simulation results show this method’s validity.

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