A matching factor-based morphological recognition method for centering a concentric circle fringe image under complex background was proposed. The basic principle is that the amplitude of phase fluctuation along with the matching factor, which is proportional to the deviation from the center of the non-diffracting spot. The cross section of non-diffracting beam which consist of concentric circle fringe, is first obtained from a matrix array image sensor, downloaded into a computer, and then, the approximate central spot position of concentric circle is calculated by finding the position of the peak value of the dimensionless matching factor. Because all the intensity distribution information of the non-diffracting beam is used for the calculation from image recognition of gray scale, the effect of background noise on centering is significantly reduced and the center position resolution can achieve subpixel accuracy. The measurement of the spatial angle is discussed which shows great advancement and application prospect in the orientation system of tunneling equipment.
Positioning Morphological recognition Non-diffracting beam Digital image processing
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This work is supported by the National Natural Science Foundation of China (Grant No. 61505169) and was supported by the Key Project of Fundamental Co-construction of Sichuan Province in China (No. 13zxzk06).973 of Ministry of Science and technology of China (Grant No. 2013CB035405).
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