18 January 1993 Vision system for detecting maze openings
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Proceedings Volume 1713, International Conference on Manufacturing Automation; (1993) https://doi.org/10.1117/12.138477
Event: International Conference on Manufacturing Automation, 1992, Hong Kong, Hong Kong
This paper describes an algorithm for detecting walls and openings in a maze from an image captured through a camera. The captured image is first transformed from 256 gray levels to a binary one, a procedure which extracts the edges of the walls of the maze. Using the bilinearly distorted image as a guide, a coordinate system is developed so that the pixel value of the critical points within the maze could be retrieved to determine whether the points represented a wall or an opening. The results are output in an array which gives the configuration of the maze as seen by the image algorithm developed. Given a well-thresholded image, the processing time is 38 seconds and the level of accuracy obtained is 86%.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wee Leng Goh, Dinesh P. Mital, "Vision system for detecting maze openings", Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); doi: 10.1117/12.138477; https://doi.org/10.1117/12.138477

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