Digital image analysis technique for measuring railway track defects and ballast gradation

H. Wu, X. Shu, N. Wilson, Track-Related Research: Volume 5: Flange Climb Derailment Criteria and Wheel/Rail Profile Management and Maintenance Guidelines for Transit Operations vol. 5, 2005. J. Nadal, Locomotives à vapeur, 2014. Grassie, 1993, Rail corrugation: characteristics, causes and treatments, Proc. Inst. Mech. Eng., Part F: J. Rail Rapid Transit, 207, 57, 10.1243/PIME_PROC_1993_207_227_02 Zoccali, 2015, Ground-vibrations induced by trains: filled trenches mitigation capacity and length influence, Constr. Build. Mater., 74, 1, 10.1016/j.conbuildmat.2014.09.083 C. Esveld, Modern Railway Track, 2001. Yella, 2009, Condition monitoring of wooden railway sleepers, Transp. Res. Part C: Emerg. Technol., 17, 38, 10.1016/j.trc.2008.06.002 Chiacchiari, 2015, Measurement methods and analysis tools for rail irregularities: a case study for urban tram track, J. Mod. Transp., 23, 137, 10.1007/s40534-015-0070-6 Kaseko, 1993, A neural network-based methodology for pavement crack detection and classification, Transp. Res. Part C: Emerg. Technol., 1, 275, 10.1016/0968-090X(93)90002-W Ozen, 2014, Assessment of optimum threshold and particle shape parameter for the image analysis of aggregate size distribution of concrete sections, Opt. Lasers Eng., 53, 122, 10.1016/j.optlaseng.2013.08.020 Jahanshahi, 2009, A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures, Struct. Infrastruct. Eng., 5, 455, 10.1080/15732470801945930 Alippi, 2000, Composite real-time image processing for railways track profile measurement, Instrum. Meas., IEEE Trans., 49, 559, 10.1109/19.850395 Hao, 2014, Automatic fastener classification and defect detection in vision-based railway inspection systems, Instrum. Meas., IEEE Trans., 63, 877, 10.1109/TIM.2013.2283741 Qingyong, 2012, A real-time visual inspection system for discrete surface defects of rail heads, Instrum. Meas., IEEE Trans., 61, 2189, 10.1109/TIM.2012.2184959 Sadeghi, 2011, Development of track condition assessment model based on visual inspection, Struct. Infrastruct. Eng., 7, 895, 10.1080/15732470903194676 Guerrieri, 2012, A theoretical and experimental approach to reconstructing the transverse profile of worn-out tracks, Ingegneria Ferroviaria, 23 Mitiche, 2014 Canny, 1986, A computational approach to edge detection, Pattern Anal. Mach. Intell. IEEE Trans., 679, 10.1109/TPAMI.1986.4767851 Celauro, 2014, An automated procedure for computing the packing properties of dense and locked sands by image analysis of thin sections, Granul. Matter, 16, 867, 10.1007/s10035-014-0532-2 R.C. Gonzalez and R.E. Woods, Digital image processing, ed: Prentice Hall Upper Saddle River, NJ, 2002. Serra, 1986, Introduction to mathematical morphology, Comp. Vis. Graph. Image Process., 35, 283, 10.1016/0734-189X(86)90002-2 Otsu, 1975, A threshold selection method from gray-level histograms, Automatica, 11, 23 Meyer, 1994, Topographic distance and watershed lines, Signal Process., 38, 113, 10.1016/0165-1684(94)90060-4 Faugeras, 1993 Hartley, 2003 Zhang, 1998, Determining the epipolar geometry and its uncertainty: a review, Int. J. Comp. Vis., 27, 161, 10.1023/A:1007941100561 Kanade, 1994, A stereo matching algorithm with an adaptive window: theory and experiment, Pattern Anal. Mach. Intell. IEEE Trans., 16, 920, 10.1109/34.310690 Marr, 1976, Cooperative computation of stereo disparity, Science, 194, 283, 10.1126/science.968482 Ralli, 2012 Bradski, 2008 Zhang, 2000, A flexible new technique for camera calibration, Pattern Anal. Mach. Intell. IEEE Trans., 22, 1330, 10.1109/34.888718 Hartley, 1997, Triangulation, Comp. Vis. Image Understand., 68, 146, 10.1006/cviu.1997.0547 Freeman, 1974, Computer processing of line-drawing images, ACM Comput. Surv. (CSUR), 6, 57, 10.1145/356625.356627 X. Trouillot, M. Jourlin, J.-C. Pinoli, Geometric parameters computation with Freeman code, in: 12th International Congress for Stereology, St Etienne, France, 2007. Bruno, 2012, Image analysis for detecting aggregate gradation in asphalt mixture from planar images, Constr. Build. Mater., 28, 21, 10.1016/j.conbuildmat.2011.08.007 Guerrieri, 2014, Railway ballast scanning by means of DIP system, ARPN J. Eng. Appl. Sci., 9, 2618