| 基于线阵CCD的车轮表面缺陷检测系统的图像预处理研究 |
| |
| 引用本文： | 吴海滨,夏需堂.基于线阵CCD的车轮表面缺陷检测系统的图像预处理研究[J].巢湖学院学报,2011,13(3):61-67. |
| |
| 作者姓名： | 吴海滨 夏需堂 |
| |
| 作者单位： | 1. 安徽大学特种电视技术研究中心,安徽合肥,230088
2. 安徽大学物理与材料科学学院,安徽合肥,230039 |
| |
| 基金项目： | 安徽省"十一五"科技攻关项目 |
| |
| 摘 要： | 介绍了车轮表面缺陷在线检测系统的工作原理和结构组成,对荧光磁粉的激发光谱和发射光谱以及UV(紫外)LED的发光特性进行了分析和研究,重点介绍了缺陷检测系统的数字图像处理和模式识别技术。经过高精度线阵CCD提取的检测图像,通过采用图像增强、平滑去噪、边缘提取以及二值化等方法,可以有效的识别出可疑的缺陷,完成缺陷在线检测系统的识别报警等。
|
| 关 键 词： | UVLED 缺陷检测 图像处理 模式识别 |
BASED ON LINEAR CCD WHEEL SURFACE DEFECT DETECTION SYSTEM OF IMAGE PREPROCESSING |
| |
| WU Hai-bin,XIA Xu-tang.BASED ON LINEAR CCD WHEEL SURFACE DEFECT DETECTION SYSTEM OF IMAGE PREPROCESSING[J].Chaohu College Journal,2011,13(3):61-67. |
| |
| Authors: | WU Hai-bin XIA Xu-tang |
| |
| Institution: | 1 The Research Center of Special TV Technology of Anhui University,Hefei Anhui 230088)(2 School of Physics and Material Science,Anhui University,Hefei Anhui 230039) |
| |
| Abstract: | The operation principle and structure of the wheel surface defects online testing system and were introduced,the excitation spectra and emission spectra of fluorescent magnetic particle,UV(ultraviolet) LED light-emitting characteristics were analyzed and studied,defect inspection system focuses on digital image processing and pattern recognition.After extraction of high-precision detection of linear array CCD image,through the use of image enhancement,smoothing noise reduction,edge extraction and binarization and other methods can effectively identify suspicious defect,complete on-line detection system identification defects alarming,etc. |
| |
| Keywords: | UV LED defect detection image processing pattern recognition |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
