Vision system for detecting maze openings

Wee Leng Goh; Dinesh P. Mital

doi:10.1117/12.138477

18 January 1993 Vision system for detecting maze openings

Wee Leng Goh, Dinesh P. Mital

Author Affiliations +

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

Abstract

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%.

Citation Download Citation

Wee Leng Goh and Dinesh P. Mital "Vision system for detecting maze openings", Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); https://doi.org/10.1117/12.138477

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