Title :
Research of Computer Vision Fault Recognition Algorithm of Center Plate Bolts of Train
Author :
Yang, Xudong ; Ye, Lianjie ; Yuan, Jianbo
Author_Institution :
Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
Center Plate Bolts on the train after the photos were analyzed to observe the morphological characteristics, a gray map based on computer vision recognition algorithms. According to the physical characteristics of the train bogie image positioning, Gray mapping used in conjunction with the gradient mapping and transformation using adaptive threshold filter out irrelevant features, and image segmentation, Hough transform to extract the main features of application Lines, and finally under the Center Plate Bolts train characteristics of the geometry of fault interpretation. Algorithm design greatly enhanced the detection speed, accuracy and reliability.
Keywords :
Hough transforms; adaptive filters; computer vision; fasteners; fault diagnosis; feature extraction; image segmentation; railway safety; Gray mapping; Hough transform; adaptive threshold filter; algorithm design; computer vision fault recognition algorithm; fault interpretation geometry; feature extraction; gradient mapping; gray map; image segmentation; morphological characteristics; train bogie image positioning physical characteristics; train center plate bolts; transformation; Algorithm design and analysis; Fasteners; Feature extraction; Gray-scale; Image segmentation; Noise; Transforms; Hough transform; adaptive threshold; grayscale map; image orientation;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-4519-6
DOI :
10.1109/IMCCC.2011.246
