基于改进Canny算法的列车车轮踏面损伤边缘提取
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摘要
针对高速列车车轮踏面擦伤、剥离的人工巡检方法效率较低且容易出现漏检等问题,设计一种高速列车车轮踏面损伤的动态检测系统,提出一种擦伤、剥离的特征提取方法。该方法在现有Canny算法的基础上加入45°方向和135°方向梯度模板来计算梯度幅值,用线性插值法对梯度幅值进行非极大值抑制,再使用优化后的迭代阈值算法求得高阈值和低阈值。试验结果表明,该算法可以有效地抑制噪声和干扰,最大限度地保留高速列车车轮踏面的真实边缘,为列车车轮踏面损伤自动巡检提供技术支持。
In view of the high-speed train wheel tread scratch,the stripping of artificial inspection method is less efficient and prone to miss inspection. This paper designs a dynamic detection system for wheel tread damage and a feature extraction method for scratch and peeling is proposed. This method adds45° and 135° gradient templates on the basis of the existing Canny algorithm when calculating the gradient amplitude. Linear interpolation method is used to suppress the non-maximum value of the gradient amplitude,and uses the optimized iterative algorithm to find the high and low thresholds. The experimental results show that the algorithm can effectively suppress the noise and interference,and maximize the real edge of the high-speed train wheel tread, which provides technical support for automatic inspection of train tread damage.
In view of the high-speed train wheel tread scratch,the stripping of artificial inspection method is less efficient and prone to miss inspection. This paper designs a dynamic detection system for wheel tread damage and a feature extraction method for scratch and peeling is proposed. This method adds45° and 135° gradient templates on the basis of the existing Canny algorithm when calculating the gradient amplitude. Linear interpolation method is used to suppress the non-maximum value of the gradient amplitude,and uses the optimized iterative algorithm to find the high and low thresholds. The experimental results show that the algorithm can effectively suppress the noise and interference,and maximize the real edge of the high-speed train wheel tread, which provides technical support for automatic inspection of train tread damage.
引文
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[2]张渝,王黎,高晓蓉,等.国内外车轮踏面损伤检测技术综述[J].机车车辆工艺,2002,(1):1-4.
[3]侯世江.对车轮踏面擦伤微机自动检测系统的初步研究[J].铁道车辆,2001,39(12):36-38.
[4]陈永疆.超声波阵列探伤技术在机车车轮在线检测上的应用[J].铁道机车与动车,2015(10):31-33.
[5]王晗.车轮踏面擦伤的冲击振动特性及其在车轮擦伤检测中的应用[J].电力机车与城轨车辆,2016,39(2):62-65.
[6]李景泉,刘继.车轮踏面擦伤自动检测方法的研究和试验[J].同济大学学报,2003,31(4):473-476.
[7]田丽丽,方宗德,赵勇.铁路货车车轮踏面伤损检测中剥离与擦伤定位方法[J].铁道学报,2009,31(5):31-36.
[8]Canny J,A computational approach to edge detection[J].IEEE Transac-tions on Pattern Analysis and Machine Intelligence,1986,8(6):679-698.
[9]李二森,张保明,周晓明,等.自适应Canny边缘检测算法研究[J].测绘科学,2008,33(6):119-120.
[10]王小俊,刘旭敏,关永.基于改进Canny算子的图像边缘检测算法[J].计算机工程,2012,38(14):196-202.
[11]吉玲,杨亚,付珊珊,等.一种改进的Canny边缘检测算法[J].微机处理,2015(1):40-43.
[12]孙智鹏,邵仙鹤,王翥,等.改进的自适应Canny边缘检测算法[J].电测与仪表,2016,53(6):17-21.
[13]李牧,闫继红,李戈,等.自适应Canny算子边缘检测技术[J].哈尔滨工程大学学报,2007,28(9):1002-1007.
[14]许宏科,秦严严,陈会茹.一种基于改进Canny的边缘检测算法[J].红外技术,2014,36(3):210-214.
[15]杨丹,赵海滨,龙哲,等.MATLAB图像处理实例详解[M].北京:清华大学出版社,2013.