A System and Vision Localization Method for the Opening of Railway Oil Tank Wagon Based on Shape Matching
A System and Vision Localization Method for the Opening of Railway Oil Tank Wagon Based on Shape Matching
复制标题
基于形状匹配的铁路油罐车开口系统及视觉定位方法
DOI：
10.1109/jsen.2016.2521329
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发表时间：
2016-05
影响因子：
4.3
通讯作者：
Ning Lv
中科院分区：
文献类型：
--
作者：
Xuezhi Xiang;Ning Lv
利用机器视觉技术对铁路油罐车开口进行定位是实现油罐车自动装车的有效途径。介绍了一种铁路油罐车开口定位系统，该系统由工业摄像机、透镜、LED照明器、工业PC机和IO模块组成。此外，本文还提出了一种形状匹配定位方法，该方法可以克服光照变化、铁路油罐车类型的多样性以及摄像机姿态的多样性对定位的不利影响。利用边缘检测和形状拟合的方法从标准开口图像中提取形状模板，避免了模板选择的随机性。利用一种优化的相似性测度来避免边缘提取，从而避免了边缘提取的阈值设置。此外，我们还利用可缩放模板来发现各种类型的开口，并在形状匹配过程中利用图像金字塔来获得加速。室内和室外实验表明，该定位系统和方法完全满足实际工业应用的要求。
The opening localization for railway oil tank wagon using machine vision technology is an effective way to load petroleum automatically. In this paper, we introduce a localization system for the opening of railway oil tank wagon, which consists of industrial camera, lens, LED lighter, industrial PC, and IO module. In addition, we also propose a shape matching localization method, which can overcome the adverse effects produced by illumination changes, various types of railway oil tank wagon, and various poses of camera. The shape template is extracted from a standard opening image using edge detection and shape fitting methods, which can help avoid the randomness of template selection. An optimized similarity measure is exploited to avoid the edge extraction, so that the threshold setting of edge extraction can be avoided. In addition, we also exploit scalable template to find various types opening and exploit image pyramid during shape matching procedure to gain a speedup. The indoor and outdoor experiments show that the localization system and the proposed method fully meet the requirements of practical industrial applications.
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影响因子：
7.3
作者：
Hedi Tabia;Hamid Laga
通讯作者：
Hedi Tabia;Hamid Laga
DOI：
10.1109/ccece.2012.6335003
发表时间：
2012-10
期刊：
2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
影响因子：
--
作者：
A. Elhossini;M. Moussa
通讯作者：
A. Elhossini;M. Moussa
DOI：
10.1109/candar.2014.32
发表时间：
2014-12
期刊：
2014 Second International Symposium on Computing and Networking
影响因子：
--
作者：
Xin Zhou;Yasuaki Ito;K. Nakano
通讯作者：
Xin Zhou;Yasuaki Ito;K. Nakano
DOI：
10.1109/tpami.2014.2342215
发表时间：
2015-01-01
影响因子：
23.6
作者：
Hong, Byung-Woo;Soatto, Stefano
通讯作者：
Soatto, Stefano
影响因子：
19.5
作者：
Ruggeri, Mauro R.;Patane, Giuseppe;Saupe, Dietmar
通讯作者：
Saupe, Dietmar