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基于离焦图像模糊分析的微装配力测量
引用本文:蒋如意,刘洪涛,胡文,梁庆华,王石刚.基于离焦图像模糊分析的微装配力测量[J].上海交通大学学报,2010,44(8):1046-1050.
作者姓名:蒋如意,刘洪涛,胡文,梁庆华,王石刚
作者单位:(上海交通大学 机械与动力工程学院,上海 200240)
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  
收稿时间:2009-12-28

Micro assembly Force Measurement Using Blur Image Analysis
JIANG Ru yi,LIU Hong tao,HU Wen,LIANG Qing hua,WANG Shi gang
.Micro assembly Force Measurement Using Blur Image Analysis[J].Journal of Shanghai Jiaotong University,2010,44(8):1046-1050.
Authors:JIANG Ru yi  LIU Hong tao  HU Wen  LIANG Qing hua  WANG Shi gang
Institution:(School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
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.
Keywords:
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