MNP法在接触网热状态检测中的研究  

Study for MNP Method in Catenary Thermal State Detection

作　　者：闵永智[1] 王红霞[1] 康飞[1] 党建武[1] 

机构地区：[1]兰州交通大学自动化与电气工程学院,兰州730070

出　　处：《光电工程》2014年第10期7-11,共5页Opto-Electronic Engineering

基　　金：国家自然科学基金资助项目(60962004);铁道部科技计划资助项目(2010G-014G);甘肃省科技支撑计划资助项目(1104GKCA057);甘肃省自然科学研究基金计划(1308RJZA172)

摘　　要：红外热成像技术广泛应用于很多领域,故将红外热成像技术与图像处理相结合对接触网热状态进行检测。在图像处理中,首先进行红外图像的预处理,然后采用基于互信息的图像模板匹配对红外图像目标进行检测与识别。互信息是图像模板匹配的相似性度量标准,且图像模板的互信息计算即联合概率分布估计的主要方法是非参数窗法,针对NP窗法计算时间较长的缺点,采用三角形分布代替NP窗法的均匀分布的改进非参数窗法。实验结果表明了MNP法计算的联合概率分布的准确性更高且计算时间也较短。Infrared thermal imaging technology was widely used in many fields. So infrared thermal imaging technology and image processing were combined in detection of catenary thermal state. In image processing, firstly, image preprocessing was used for infrared thermal images, and then mutual information-based image template matching was used to detect and recognize the targets of infrared image. Mutual information was similarity measure criterion in image template matching, and Non-Parametric （NP） window method was to estimate the Joint Probability Distribution Function （JPDF） for underlying template. For weakness of NP window method was long computing time, Modified Non-Parametric （MNP） window method was used with a triangle distribution instead of uniform distribution in the original NP window. Experimental results show that accuracy in calculating the joint probability distribution of MNP method is higher and the image template matching time is shortened.

关 键 词：红外热成像技术 接触网 联合概率分布 非参数(NP)窗法 MNP法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]