Train rolling stock segmentation with morphological differential gradient active contours

Rolling examination as it is called by railway maintenance staff of Indian railways is visual and auditory examination of moving bogies of a train for defects. The undercarriage moving parts of the train are called rolling stock. This paper makes an attempt to segment the rolling stock from video frames of the rolling stock for further analysis. This paper focuses on Chan vese active contour (CV) model for segmenting the rolling stock. We present a modified version of Chan vese using morphological differential gradient (CVMDG) to segment rolling stock. The rolling stock videos are captured under four different lighting conditions near Guntur railway station in INDIA. For better segmentation of rolling stock, video frames are contrast enhanced with virtual exposure wavelet image fusion. The segmented rolling stock is compared with ground truth model to assess the usability of the proposed method for rolling stock segmentation.