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Received:December 02, 2010 Revised:December 31, 2010
Received:December 02, 2010 Revised:December 31, 2010
中文摘要: 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.
Abstract: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 car 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.
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基金项目:
Author Name | Affiliation |
ZHOU Cheng | School of Software, Central South University, Changsha 410075, China |
Author Name | Affiliation |
ZHOU Cheng | School of Software, Central South University, Changsha 410075, China |
引用文本:
周诚.图像处理在车厢定位中的研究.计算机系统应用,2011,20(8):219-221
ZHOU Cheng.Car Position Locating Method Based on Image Processing.COMPUTER SYSTEMS APPLICATIONS,2011,20(8):219-221
周诚.图像处理在车厢定位中的研究.计算机系统应用,2011,20(8):219-221
ZHOU Cheng.Car Position Locating Method Based on Image Processing.COMPUTER SYSTEMS APPLICATIONS,2011,20(8):219-221