机器视觉论文：基于机器视觉的弹体轮廓在线检测技术的研究

机器视觉论文：基于机器视觉的弹体轮廓在线检测技术的研究

【中文摘要】基于机器视觉的检测系统具有非接触性、实时性、精度高等特点,近年来成为检测领域研究的热点并得到了广泛的应用。由于弹体的轮廓直接关系到炮弹的质量和性能,本文主要应用机器视觉检测技术对弹体轮廓进行实时在线检测,来提高炮弹的检测速率、检验效率及正确判决率。本文结合具体的应用详细的论述了机器视觉检测硬件系统的设计、图像处理的软件算法及采用MATLAB进行仿真。根据检测结果得出：该检测系统具有检测精度高、功能强大、硬件电路简单、便于维护等优点；而且在实现了自动检测的功能外,也实现了检测数据的实时存储、打印、显示,具有良好的可回溯性。图像处理部分是本文研究的核心,主要包括图像预处理、图像分割、边缘检测及亚像素边缘检测等算法,运用这些算法提取弹体的轮廓特征并进行检测误差分析。

【英文摘要】Based on machine vision detecting system has the Characteristics of non-contact, real-time, high precision etc, in recent years it has became a hotspot in field of detection and has been used widely. Because the cannonball contour directly relate to the quality and performance of the cannonballs, this article mainly apply machine vision detection technology to detect the contour of the cannonballs

real-time and on-line, in order to improve the rate of detection, inspection efficiency and the rate of correct judgment.This article that combined with application experience expounded machine vision inspection hardware system design, image processing software algorithm and using MATLAB simulation. This testing system has the advantages of high accuracy, strong function, simple hardware circuit, easy maintenance etc. And apart for it has realized automatic detection function, it also realized real-time detecting data storage, printing, display, good retrospective. Image processing is the core of this study, it is mainly contains image pretreatment, image segmentation, edge detection and sub-pixel edge detection algorithms, etc. Using these algorithms to the contour feature of cannonball and detect the error analysis.

【关键词】机器视觉图像处理边缘检测亚像素边缘检测

【英文关键词】machine vision machine vision measurement image processing edge detection sub-pixel edge detection

【目录】基于机器视觉的弹体轮廓在线检测技术的研究摘要

4-5ABSTRACT5目录6-7第一章绪论

7-12 1.1 课题的研究目的和意义7 1.2 机器视觉检测

技术的应用现状及发展方向7-10 1.3 本文的主要研究内容

10-12第二章基于机器视觉的弹体轮廓在线检测系统设计12-21 2.1 机器视觉检测系统的构成和工作原理

12-13 2.2 系统的硬件选择13-20 2.3 本章小结

20-21第三章机器视觉检测中常用的图像处理技术

21-39 3.1 图像预处理技术21-27 3.2 图像阈值分割27-30 3.3 图像边缘检测30-34 3.4 测量系统标定

34-38 3.5 本章小结38-39第四章亚像素边缘检测及误差分析39-44 4.1 亚像素定位原理39-40 4.2 最小二乘回归直线拟合法40-41 4.3 实验结果与误差分析

41-43 4.4 本章小结43-44第五章总结与展望

44-45 5.1 工作总结44 5.2 前景展望44-45致谢45-46参考文献46-47