摘要
针对动车零部件丢失、松动的故障,设计了一套采用自动视频图像识别技术进行故障自动检测的系统;在图像处理这一重要环节中,采用了基于轮廓的模板匹配算法对动车零部件是否松动、是否丢失的故障进行检测。阐述了动车零部件故障检测系统架构、各部分的实现并提出了基于轮廓的模板匹配零部件检测方法,并从对图像进行预处理、确定零部件的特征区域到设置最小分值过程进行了详细阐述。应用过程表明,应用模板匹配算法对动车零部件故障检测能够达到预期的效果。
For the loss and loose of CRH train parts, this paper design a set of automatic video image recognition technology for fault detection system. In this important part of image processing, using a template matching algorithm based on contour to detect whether the CRH train parts is lost or loose. This paper elaborates the architecture, implementation of each part of the CRH train fault detection system and puts forward the template matching method based on contour, and gives a detail from the image pre-preprocessing, feature regions to determine the components to the process of setting the minimum score. Application process showed that the application of template matching algorithm to fault detection CRH train parts could achieve the desired results.
出处
《计算机系统应用》
2011年第8期134-137,共4页
Computer Systems & Applications
基金
安徽省教育厅自然科学基金(2005KJ004ZD)
关键词
模板匹配
动车零部件
图像识别
故障检测
template matching
CRH train parts
image Recognition
fault detection
