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Can I read Online Real-Time Detection Method for Defects of Railroad Track Surface on EtoBox?
Online Real-Time Detection Method for Defects of Railroad Track Surface by Guang Yu Dai; Jun Zhang; Kun Lin Lü; Long Guo; Liang Sun; Jun Bin Fang; Zhe Chen; Jian Hui Yu is a Engineering article available to read on EtoBox.
What is Online Real-Time Detection Method for Defects of Railroad Track Surface about?
In the field of detecting for defects of railroad track surface, computer vision method for detection has been widely used. An online real-time image processing system for defects of railroad track surface is introduced in the paper. Results show that: if the number of pixels in each railroad track surface image is 512×240, the train speed can be 50 Km/h while the image processing system can real-time detect the railway track surface defects, the number of pixels in in each railroad track surface image is 320×250, the train speed can be 100 Km/h while the image processing system can real-time detect the railway track surface defects.
Who reads Online Real-Time Detection Method for Defects of Railroad Track Surface?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Guang Yu Dai; Jun Zhang; Kun Lin Lü; Long Guo; Liang Sun; Jun Bin Fang; Zhe Chen; Jian Hui Yu
- Publisher
- Trans Tech Publications, Ltd.
- Published
- 2013
- Language
- EN
- Field
- Engineering (Physical Sciences)