MATLAB图像处理的钢材表面裂纹检测系统设计
关键词： 裂纹检测，MATLAB，图像处理，特征提取
Steel surface crack detection system based on image processing
Abstract：In recent years, with the development of China's economy, our domestic steel consumption has a substantial growth. Therefore, in today's rapid development of the steel industry, the pursuit of the amount of steel has been the goal of large-scale iron and steel enterprises. The steel quality detection is the most important aspect in the production process of steel. Only enterprises have the timely and accurate product quality testing, and then they can adjust production according to the specific production strategy. This topic focuses on the problem of artificial steel surface crack detection with inefficiency and lack of quality assurance. This paper studies the application of image processing in the steel surface crack detection and using the software “MATLAB” to complete the image preprocessing and the crack identification. In this paper, we use “MATLAB” as a platform to study the digital processing of images deeply, and at last achieve the algorithm implementation of the type of image conversion, image filtering, image segmentation, morphology, and feature extraction algorithm.
Keywords: Crack detection, MATLAB, Image processing, Feature extraction
目录
1绪论 1
1.1论文的背景与意义 1
1.2国内外研究现状 1
1.3数字图像处理的优势 2
1.4数字图像处理简介 3
1.4.1 图像处理 3
1.4.2 图像处理的应用 4
2MATLAB软件简介 7
2.1MATLAB的优点 8
2.2MATLAB的缺点 8
2.3MATLAB图像处理工具简介 9
2.3.1 四种图像类型 9
3图像的预处理及边缘检测 11
3.1图像预处理 11
3.1.1 真彩色图像转换为灰度图像 11
3.1.2 图像求反 13
3.1.3 图像增强 13
3.1.4 图像平滑 15
3.2图像分割 20
3.2.1 阈值分割 21
3.2.2 边缘检测 23
4钢材表面裂纹的数字图像处理检测系统 29
4.1现有数字图像处理 29
4.2本方案设计的数字图像处理 30
4.3系统的硬件平台 35
5结论与展望 37
5.1结论 37
5.2展望 37
1绪论
1.1论文的背景与意义
我国作为一个强大的发展中国家，经济正处于高度发展阶段，社会对于刚才需求也是前所未有的高峰。改进民生设施，进行基础建设，没有一样是能脱离钢材的。如今的建筑，桥梁，铁路，早就摆脱了当年的木质结构框架，内部全都是钢筋混凝土。也正因为如此，对于钢材的质量要求是越来越高，可以说达到了一个苛刻的地步。