A Fast Algorithm of Extracting Rail Profile Base on the Structured Light
Li Li-Ming, Chai Xiao-Dong, Zheng Shu-Bin

Abstract
This paper analyzes the theory of extracting rail profile based on the structured light and proposes a fast algorithm of extracting rail profile. The precise profile of rail section is obtained by extracting R color feature component in the RGB image. This algorithm, which has been proved in the experiment, has features, such as robust anti-noise capacity, fast calculation, high accuracy and etc. It’s used in non-contact inspecting rail gauge whose inspecting accuracy is 0.01mm and maximum deviation is 0.2mm.

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