图像处理在车厢定位中的研究  

Car Position Locating Method Based on Image Processing

作　　者：周诚[1] 

机构地区：[1]中南大学软件学院,长沙410075

出　　处：《计算机系统应用》2011年第8期219-221,共3页Computer Systems & Applications

摘　　要：针对企业获取电煤煤样的现状,为实现电煤的全自动化采样,利用图像处理技术研究了车厢定位算法。该算法首先利用背景差分法、改进的Canny边缘检测算法等多种手段得到汽车区域图,再结合汽车实际的尺寸最终得到车厢区域图。经过多年采样表明该算法的准确率高,解决了取样过程中人为因素的问题。本算法对采样领域的自动化生产具有重要意义。According to the situation of coal samples, in order to achieve the full automation of coal samples, this paper proposes a locating method based on image processing for ear positioning. First, this method uses of background-subtraction, image projection method, the improved Canny-edge-detection algorithm and other means to get auto maps, then combined with the size of cars to get the actual regional map. After years of sampling show that the high accuracy of the algorithm, the sampling process to resolve the issue of human factors. The method is important for the sampling the field of automated production.

关 键 词：背景差分 图像投影 CANNY 边缘检测 阀值 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]