DocumentCode
3200662
Title
Multi-scale Segmentation Method for Brake Beam of Freight Train
Author
Guo Hui ; Zhou Fuqiang
Author_Institution
Key Lab. for Precision Opto-Mech. Technol. of Educ., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear
2012
fDate
8-10 Dec. 2012
Firstpage
445
Lastpage
448
Abstract
A segmentation method comprising gray projection, discrete wavelet transform and adaptive segmentation was proposed to realize automatic failure recognition for trouble of moving freight car detection system (TFDS). The correlation between distribution of gray scales and their location were considered when segmented the objects. Calculate the vertical gray projection. Fit the centerline accordingly based on the extreme points which represented the edges of break beam. Considering priori information in the image, rotate a rectangular area in the plane and calculate gray projection along the long axis within the area. Analyze the projection curves and the inclined brake beams could be segmented. Experimental results illustrated that, the technique performed excellently for images which were underexposed, overexposed, local reflex, and blurred.
Keywords
beams (structures); brakes; discrete wavelet transforms; image segmentation; mechanical engineering computing; object detection; railway engineering; railway rolling stock; TFDS; adaptive segmentation; brake beam; discrete wavelet transform; failure recognition; freight train; image priori information; moving freight car detection system; multiscale segmentation method; object segmentation; projection curve analysis; vertical gray projection; Discrete wavelet transforms; Feature extraction; Image edge detection; Image segmentation; Low pass filters; adaptive segmentation; dimension reduction; discrete wavelet transform; gray projection; multi-scale;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4673-5034-1
Type
conf
DOI
10.1109/IMCCC.2012.110
Filename
6428943
Link To Document