A Railway Sand Accumulation Detection Method Based on Image Processing
To address the issues of poor real-time performance,susceptibility to weather factors,and unclear quantification indicators of sand accumulation detection on railway tracks,a railway sand accumulation detection method based on image processing is proposed.The single-scale Retinex algorithm is utilized to process images of railway tracks sand accumulation under sand and dust weather conditions.The threshold segmentation of the images containing shadows is performed through feature extraction of non-sand accumulation areas and the maximum inter-class variance method,and sand accumulation information is obtained by integrating the results of two image segmentation.Additionally,based on the division index of railway sand hazard levels,the extracted sand accumulation information is graded according to the corresponding sand hazard levels,achieving sand accumulation detection on railway tracks under different weather conditions.Experimental results demonstrate that this method can accurately obtain the status of sand accumulation on railway tracks under both sunny and dusty weather conditions and provide warnings according to corresponding sand hazard levels.
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