摘要随着国家综合实力的增强，在桥梁设施建设方面加大了投资力度，桥梁数目逐渐增多。但是随着桥梁服役时间的增长，会出现不同的桥梁病害和损伤，可能引发桥梁坍塌等交通事故。对于大多数混凝土桥梁来说，桥梁裂缝是最常见也最难测量的一个病害。64782

本文采用了数字图像处理的理论以及相关的技术,对裂缝的图像测量方法进行了研究。首先对采集的图像进行灰度化、滤波去噪、阈值分割等预处理，然后进行裂缝提取、裂缝连接、特征参数测量、删除伪裂缝等分析工作。在这个过程中,着重分析了裂缝区域特征,对特征值进行了计算与分析。本课题方法将数字图像处理应用桥梁裂缝检测中，不仅提高了工作效率，也实现了对桥梁裂缝的客观评估分析。

毕业论文关键词：裂缝检测  阈值分割  特征分析

毕业设计说明书（论文）外文摘要

Title     The research of vision disease inspection       

            technology of bridge inspection robot          

Abstract

The Bridges increase investment in the construction of facilities  with the increase of the national comprehensive strength and the number of Bridges gradually increased. However, with the growth of the service time of the bridge,it will appear different diseases and injuries and may cause the traffic accident such as bridge collapse. For most of the concrete bridge, the bridge crack is a disease which is the most common and difficult to measure.

This article uses the theory and technology of digital image processing to study the measurement method of crack. Firstly,we preprocess the image with the technology of gray level, filtering and thresholding and so on.Secondly,we do the analysis work such as crack extract, clip link, characteristic parameters measuring and  pseudo crack deleting. We analysis emphatically the regional characteristics and calculate and analysis the characteristic value in this process.  The method article of this  have apply the digital image processing in bridge crack inspection.It not only improves the work efficiency, but also achieves an objective evaluation of the bridge cracks analysis.  

Keywords:crack detection  thresholding  features analysis  

目 次

1 绪论 1

1.1 研究背景 1

1.2 国内外研究情况 2

1.3 课题研究目的和意义 3

1.4 面临的困难 4

2 混凝土桥梁裂缝 4

2.1 混凝土桥梁裂缝的基本概念 4

2.2 混凝土桥梁裂缝产生的原因 5

2.3 混凝土桥梁裂缝种类 7

2.4 混凝土桥梁裂缝评估分析 7

3 裂缝图像采集与分析 8

3.1 图像处理流程 8

3.2 图像采集 9

3.3 图像预处理 10

3.4 图像分析 15

3.5 裂缝识别 17

3.6 裂缝连接 17

4 裂缝检测软件介绍与实例分析 17

4.1 检测软件开发简介 18

4.2 检测软件设计