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应用机器视觉的工件表面质量检测
引用本文:吕文阁,刘建群,杜建辉. 应用机器视觉的工件表面质量检测[J]. 机床与液压, 2006, 0(4): 154-155,158
作者姓名:吕文阁  刘建群  杜建辉
作者单位:广东工业大学机电工程学院,广东广州510090;广东工业大学机电工程学院,广东广州510090;广东工业大学机电工程学院,广东广州510090
基金项目:广东省博士启动基金;广东工业大学校科研和校改项目
摘    要:工件在传输工程中不可避免地发生旋转和平移,快速准确地将检测工件与标准工件图像中的目标对准是应用的关键。为此,本文研究了应用机械视觉进行工件表面质量检测的方法,提出了以工件目标的角点为识别特征,结合遗传算法快速确定变换参数的目标对准算法,在此基础上建立了一个应用机器视觉技术的工件表面质量实时检测系统。检测结果表明,该方法能有效地从各种旋转、平移后的待检测图像中实时检测出缺陷工件。

关 键 词:机器视觉  遗传算法  工件表面  质量检测
文章编号:1001-3881(2006)4-154-2
收稿时间:2004-12-27
修稿时间:2004-12-27

The Quality Testing of Workpiece Surface Based on Machine Vision
LV Wenge,LIU Jianqun,DU Jianhui. The Quality Testing of Workpiece Surface Based on Machine Vision[J]. Machine Tool & Hydraulics, 2006, 0(4): 154-155,158
Authors:LV Wenge  LIU Jianqun  DU Jianhui
Affiliation:Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou Guangdong 510090, China
Abstract:It is inevitable for workpieces to rotate or(and) translate somewhat in the process of transmission.The key for applying machine mision to test the quality of workpiece surface is to collimate object in image of testing piece with the standard piece.The quality testing of workpiece surface based on machine vision was studied.The corner-points of object were selected as set of character-points to match collimate object and genetic algorithm was applied to find the collimating parameter.A system of quality testing of workpiece surface based on machine vision was developed.Result shows that this system can find the defect workpiece real time from the images for testing after rotating and translating.
Keywords:Machine vision   Genetic algorithm    Workpiece surface    Quality testing
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