计算机科学 ›› 2014, Vol. 41 ›› Issue (1): 130-133.
赵宏伟,黄雅平,王胜春,李清勇
ZHAO Hong-wei,HUANG Ya-ping,WANG Sheng-chun and LI Qing-yong
摘要: 钢轨表面擦伤检测是保障铁路运输安全的重要手段之一。应用图像处理和模式识别技术来处理钢轨数字图像,检测并定位擦伤区域是一种可行且发展迅速的研究手段。课题组在前期工作中提出了一种鲁棒实时的钢轨表面擦伤检测算法,该算法首先对钢轨图像进行灰度对比度增强,在此基础上定位可疑擦伤区域并进行判定。算法对于常规擦伤图像具有较高的检测性能,但对于钢轨图像包含多处擦伤且擦伤区域灰度值差异较大的情况,往往造成漏检。针对原算法的不足,提出了一种基于空间滤波的钢轨表面擦伤检测改进算法,该算法对原算法检测到的擦伤区域进行钢轨灰度图均值填充,并对填充后的图像进行二次检测,在重新生成的灰度对比度图中,原检测图像中灰度值不明显的擦伤区域的灰度对比度值得到增强,从而增加了检出的可能性。经实验结果验证,改进算法具有较高的检测性能:在总的时间耗费没有明显增加的情况下,检测的平均准确率为90.8%,平均漏检率为4.0%,较原算法有较大改善。
[1] 中华人民共和国铁道部.铁路线路维修规则[S].北京:中国铁道出版社,2001 [2] Papaelias M P,Roberts C,Davis C L.A review on non-destructive evaluation of rails:state-of-the-art and future development[J].Proceedings of the Institution of Mechanical Engineers,Part F:Journal of Rail and Rapid Transit,2008,222(4):367-384 [3] Clark R.Rail flaw detection:Overview and needs for future developments[J].NDT&E International,2004,7:114-118 [4] Clark R,Singh S,Haist C.Ultrasonic characterisation of defects in rails[J].Insight,2002,44(6):341-347 [5] Bentoumi M,Aknin P,Bloch G.On-line rail defect diagnosiswith differential eddy current probes and specific detection processing[J].The European Physical Journal Applied Physics,2003,23(3):227-233 [6] Conci A,Proena C B.A computer vision approach for textile inspection[J].Textile Research Journal,2000,70(4):347-350 [7] Kumar A,Pang G K H.Defect detection in textured materials using Gabor filters[J].IEEE Transactions on Industry Applications,2002,38(2):425-440 [8] Campbell J G,Fraley C,Murtagh F,et al.Linear flaw detection in woven textiles using model-based clustering[J].Pattern Re-cognition Letters,1997,18(14):1539-1548 [9] 刘蕴辉,刘铁,等.基于图像处理的铁轨表面缺陷检测算法[J].计算机工程,2007,33(11):236-238 [10] 胡二根.钢轨擦伤原因及其防治[J].铁道建筑,2000,1:014 [11] Gonzalez R,Woods R.Digital image processing(3rd Edition)[M].Prentice Hall,2007 [12] 任盛伟,李清勇,许贵阳,等.鲁棒实时钢轨表面擦伤检测算法研究[J].中国铁道科学,2011,32(001):25-29 [13] Li Q,Ren S.A Visual Detection System for Rail Surface Defects[J].IEEE transactions on systems,man and cybernetics.Part C,Applications and reviews,2012,42(6):1531-1542 [14] Kapur J N,Sahoo P K,Wong A K C.A new method for gray-level picture thresholding using the entropy of the histogram[J].Computer vision,graphics,and image processing,1985,29(3):273-285 [15] Li Q,Ren S.A real-time visual inspection system for discretesurface defects of rail heads[J].IEEE Transactions on Instrumentation and Measurement,2012,61(8):2189-2199 |
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