RTG视觉纠偏的局部引导图像滤波算法
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摘要
针对轮胎式集装箱门式起重机(RTG)在基于视觉的行走纠偏过程中环境因素干扰导致的定位失败问题,提出了基于局部引导图像滤波和均值漂移聚类的RTG纠偏视觉辅助算法。该算法首先对图像进行基于局部引导图像滤波的高效预处理,在降噪的同时保留图像边缘特征;然后基于预先标定的引导线宽度和间距等特征,获取自适应分割阈值及简化均值漂移聚类算法的参数,从而实现引导线边缘的筛选提取和偏移量的计算。现场试验表明,该算法能够克服夜间环境下偏色光谱对识别的影响,有效提高纠偏的实时性和精度。
In order to solve the problem of locating the rubber tyred gantry(RTG)during its steering process,an algorithm based on local guided image filtering and mean shift clustering algorithm was introduced to extract deviation information.The guided image filter on specific area was used in the algorithm process to preserve the edges while reducing the computation time of noise filtering.Consequently,features including guideline width and spacing were used to determine the adaptive threshold and the parameters in simplified mean shift clustering algorithm.There by offset calculation and extraction of the guide line edges were achieved.The experiments indicate that the algorithm can provide accurate position information even in poor lighting conditions,which improves the real-time performance and accuracy of steering effectively.
In order to solve the problem of locating the rubber tyred gantry(RTG)during its steering process,an algorithm based on local guided image filtering and mean shift clustering algorithm was introduced to extract deviation information.The guided image filter on specific area was used in the algorithm process to preserve the edges while reducing the computation time of noise filtering.Consequently,features including guideline width and spacing were used to determine the adaptive threshold and the parameters in simplified mean shift clustering algorithm.There by offset calculation and extraction of the guide line edges were achieved.The experiments indicate that the algorithm can provide accurate position information even in poor lighting conditions,which improves the real-time performance and accuracy of steering effectively.
引文
[1]孙亮.门式与桥式起重机电气保护系统的检验技术[J].电子制作,2015(11):232.
[2]刘剑锋,李记叶.带自诊断功能的门式起重机纠偏装置[J].中国特种设备安全,2017,33(1):32-34.
[3]乔俊杰.RTG集装箱堆场智能化远程控制技术综述及探讨[J].装备制造技术,2016(12):123-126.
[4]谢剑刚.起重机大车运行自动纠偏系统[J].起重运输机械,2003(5):33-34.
[5]陈迪茂.GPS在场地集装箱轮胎吊上的应用[J].水运工程,2005(5):67-69.
[6]HAN H,WANG Y,HUANG Z,et al.Segmentation for path analysis based on OTSU and immune genetic algorithm[C]//Mechatronics and Control(ICMC),2014 International Conference on.IEEE,2014:662-666.
[7]LEVI D,GARNETT N,FETAYA E,et al.StixelNet:A deep convolutional network for obstacle detection and road segmentation[C]//British Machine Conference.2015:109.1-109.12.
[8]International Color Consortium.Specification ICC.1:2004-10[R].Image Technology ColourManagement-Architecture,Profile Format,and Data Structure,2004.
[9]HE K,SUN J,TANG X.Guided image filtering[C]//European Conference on Computer Vision.2010:1-14.
[10]KANOPOULOS N,VASANTHAVADA N,BAKER R L.Design of an image edge detection filter using the Sobel operator[J].IEEE Journal of Solid-State Circuits,1988,23(2):358-367.
[2]刘剑锋,李记叶.带自诊断功能的门式起重机纠偏装置[J].中国特种设备安全,2017,33(1):32-34.
[3]乔俊杰.RTG集装箱堆场智能化远程控制技术综述及探讨[J].装备制造技术,2016(12):123-126.
[4]谢剑刚.起重机大车运行自动纠偏系统[J].起重运输机械,2003(5):33-34.
[5]陈迪茂.GPS在场地集装箱轮胎吊上的应用[J].水运工程,2005(5):67-69.
[6]HAN H,WANG Y,HUANG Z,et al.Segmentation for path analysis based on OTSU and immune genetic algorithm[C]//Mechatronics and Control(ICMC),2014 International Conference on.IEEE,2014:662-666.
[7]LEVI D,GARNETT N,FETAYA E,et al.StixelNet:A deep convolutional network for obstacle detection and road segmentation[C]//British Machine Conference.2015:109.1-109.12.
[8]International Color Consortium.Specification ICC.1:2004-10[R].Image Technology ColourManagement-Architecture,Profile Format,and Data Structure,2004.
[9]HE K,SUN J,TANG X.Guided image filtering[C]//European Conference on Computer Vision.2010:1-14.
[10]KANOPOULOS N,VASANTHAVADA N,BAKER R L.Design of an image edge detection filter using the Sobel operator[J].IEEE Journal of Solid-State Circuits,1988,23(2):358-367.