毕业设计（论文）--机械零件的机器人识别系统设计.docVIP

机械零件的机器人识别系统设计 摘 要 随着机械零件的在线检测在自动化生产中变得越来越重要，实现其识别过程的自动化具有重要的现实意义。机器视觉是工业机器人获得环境信息的主要手段之一，它可以增加机器人的自主能力，提高机器人的灵活性。本文给出了一种基于数字图像轮廓特征的机械零件自动有效识别的方法。特别针对机器人在装配生产线上的具体应用场合，且充分利用关于机器人工作环境和装配零件的经验知识，具有良好的工作效率和稳定性。系统研究了包括图像处理和图像识别两部分。图像处理部分研究了图像的二值化、去离散噪声、梯度锐化、图像归一化、图像特征提取等；其中，零件的图像特征提取在识别系统是困难且十分重要的。对于一幅待识别的数字图像，要想有效的提取它的特征，必须对它作一些必要的处理和分析。利用工业摄像镜头代替目视作为一个传感器，经过光电转换、图像采样、图像处理、图像分析识别等一系列的操作，就可以达到机械零件识别的目的。经实验验证，显示出该识别系统在识别效率和识别效果上都有令人满意的效果。 关键词： 数字图像处理，机械零件识别，装配线，机器视觉 DESIGN THE SYSTEM OF MACHINE COMPONENTS IDENTIFICATION BY ROBOTS ABSTRACT Identification of machine components on line becomes more and more important in automatic production．Accomplishing the process automatically is practically significant．Machine vision is one of the primary means for industry robots to get information from the surroundings. Machine vision can not only raises the industry robot’s capacity of will, but also improve the flexibility of the industry robot.In this paper，We present an automatic and effective framework for machine components identification based on the figure features of digital image．Aiming at the material application situation of robots on the assembly line, a relevant vision recognition software system that is high-performance and steady-going is developed by making full use of the robot’s working situation and the future knowledge about assembly parts.This research includes image processing and image recognition．Image processing includes some technologies，such as Image Binarization，Getting rid of The Image Noise，GrMient Sharp，Image Unification Image Edge Inspection and Image Characters Collection．At the department of characters collection which it is very important. Using industrial camera lens instead of man eyes as sensor，then a series of operation，such as photoelectric transform，image sampling，image process，image analyzing and identifying，machine components identification can be realized． By the experiments，it shows that the method is effective and efficiency． KEY WORDS