【作者】 阳瑞婷；

【导师】 杨坤涛；

【作者基本信息】 华中科技大学 ， 光学工程， 2009， 硕士

【摘要】 光电检测技术是近年来在测量领域中一种新兴的检测技术,它以光学技术为基础,利用数字图像处理技术对光学信息进行处理。光电检测技术把光电子学、激光、计算机技术等多种先进的科学技术相结合,构成光、机、电、算相融合的检测系统。本论文研究的木工锯片锯齿综合尺寸检测系统主要由照明系统、光接收系统、图像传感系统、图像采集系统、图像处理系统、计算机及其外设几个部分组成。这种系统是一种非接触的检测系统,具有检测速度快、检测对象范围宽、检测精度高、测量结果直观等特点。本系统的实践证明了基于数字图像处理的光电检测技术在尺寸检测中效果非常好。本课题主要研究外径等于或小于420mm木工锯片基体几何量的测试。待测几何量包括:锯齿齿距、前角、后角及齿型相关尺寸。木工锯片锯齿的综合尺寸的测量精确度要求控制在微米量级。传统的手动测量方法,很难控测量精度,而且测量结果不直观、数据整理缓慢。为满足实际检测的高精度的要求,本课题采用CMOS传感器检测锯片图像,首先采集木工锯片锯齿的灰度图像,再对其进行阈值分割、图像噪声滤波、提取边缘、Hough变换、曲线跟踪、角点检测等一系列数字图像处理,最后得到锯片锯齿的综合尺寸,该检测系统采用非接触式测量,而且可以达到高精度测量的目标。本论文共分为五章,第一章为绪论,介绍了课题来源和背景、国内外图像测量技术的发展和趋势以及课题研究的主要内容和重点;第二章叙述了图像检测原理和检测方案的设计;第三章详述了数字图像处理的算法和实验过程;第四章对实验结果进行了分析;第五章是结论部分,对全文进行总结和展望。更多还原

【Abstract】 In recent years, In recent years, photoelectric detection is an emerging high- performance measurement technique in the field of measurement, it is based on optical technology, and use digital image processing technology to process optical information. Photoelectric detection integrates advanced science and technologies such as optoelectronics, laser technology, computer technology as a whole, constitute a complex measurement system of light, machines, electricity and computer. In this paper, the researched woodworking synthetical size measurement system consists of lighting system, optical receiving system, image sensor systems, image acquisition systems, image processing systems, computer parts and peripherals. This is a non-contact detection system with the advantages of high detection speed, wide detection range, high detection precision, intuitionistic measurement results and others. The practice has proved that the photoelectric detection technology based on digital image processing has a very good effect in size detecting.This research focuses on measuring matrix geometric volume of saw woodworking whose outside diameter is equal to or less than 420mm. Geometric volumes to test include: saw tooth pitch, anterior horn, posterior horn and related tooth-type size. The precision of Woodworking Saw measurements are required to control at micron scale. Traditional manual measurement methods are difficult to control the measurement accuracy, and the measurement results are not intuitive, data management is slow. To meet the requirements of high-precision in practical detection, This research uses CMOS image sensors to detect Woodworking Saw image, then use a series of digital image processing such as gray-scale conversion, threshold segmentation, image noise filtering, edge extraction, Hough transform, curve tracking, corner detection to process the collected picture, and finally get the general size of the Woodworking Saw. The detection system uses the way of non-contact measurement, and can achieve the goal of high-precision measurements.The thesis is divided into five chapters, the first chapter is the preface, which introduces the origin and background of the subject, domestic and international image measurement technology developments and trends, as well as the main contents and focus of the research; Chapter II describes the principle of image detection and design of detecting scheme; Chapter III discusses the digital image processing algorithms and the implementation process in detail; The fourth chapter analyze the experimental results; The fifth chapter is the concluding part, in which the summary and outlook are spread out.更多还原