Abstract:

Based on OpenMV，the system of Robot Vision，taking the interference fringes of Michelson

interfer- ometer as the object of recognition and study，according to the coherence of light source

and the dynamic characteris- tics of interference fringes，the identification and detection

algorithm of interference fringes based on gray sampling statistics is established( CSSA-IF:

Concentric shape searching algorithm for interference fringes) ，the real-time de- tection

program with MicroPython or Python language is written. Its implementation shows that the reliable

detection to the simulation or real interference fringes with the accuracy of 0.5，and the

uncertainty is mainly produced from this accuracy that lay down by the algorithm，meanwhile，the

availability of the methods and the techniques is proved.

Key words: interference fringe, Robot Vision, shape searching, recognition, feature template