Matlab生产自动化实验系统机器视觉单元设计+CAD图纸
关键词: 图像处理;计算机视觉;应用3813
Experimental system of production automation machine vision unit design
ABSTRACT：Computer vision is a new rapidly developed subject since the 1960s medium-term. Computer vision is used for an analog of biological vision with computers and related equipments. Because of computer vision has a great potential application value in industrial and agricultural production, geology, astronomy, meteorology, the medicine and the military and other fields, it is becoming more and more attention in the world.
Afterwards，”Acquisition toolbox” and“Video and Image Processing Blockset” have been deeply analyzed，and Matlab/simulink was used to design image Processing software package.Then a method for theacquisition of target’s3D data was implemented by binocular vision technology.
At last，Matlab/Stateflow toolbox was applied to design nine-Point-five-state controller. In the Matlab/RTW environment，the target detection，location and robot motion control were achieved based on visual feedback.
KEYWORDS: imageProeessing，computer vision，application
目录
1 绪论 1
1.1 研究背景和意义 1
1.2 国内外相关研究现状与发展趋势 2
1.3 课题的主要研究内容 2
1.4 本章小结 3
2实验系统机器视觉单元的设计方案 4
2.1机器视觉单元原理 4
2.2 机器视觉单元的硬件组成 5
2.2.1 CCD摄像机的选择 5
2.2.2 图像采集卡的选择 6
2.2.3 照明光源的设计 8
2.3 机器视觉单元软件设计方案 11
2.4 本章小结 11
3 基于MATLAB软件的机器视觉单元图像获取 12
3.1 机器视觉单元图像获取主要工作过程 12
3.2 基于MATLAB机器视觉单元的图像获取实例 12
3.3 本章小结 14
4 机器视觉单元图像处理基础 15
4.1 数字图像的形成 15
4.1.1概述 15
4.1.2采样 16
4.1.3量化 16
4.2 数字图像的描述形式和运算方式 17
4.2.1数字表示形式 17
4.2.2基本处理过程与基本运算形式 18
4.3 图像预处理技术 18
4.3.1灰度阈值分割 19
4.3.2边缘检测 20
4.3.3哈夫变换 21
5 零件识别与检测 21
5.1 系统组建 21
5.1.1系统构成 21
5.1.2系统技术基础 22
5.2 系统开发 22
5.2.1颜色识别 23
5.2.2边缘提取 29
5.2.3图像区域处理（面积，周长） 30