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Proceedings Paper

Vision system for detecting maze openings
Author(s): Wee Leng Goh; Dinesh P. Mital
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Paper 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%.

Paper Details

Date Published: 18 January 1993
PDF: 11 pages
Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); doi: 10.1117/12.138477
Show Author Affiliations
Wee Leng Goh, Nanyang Technological Univ. (Singapore)
Dinesh P. Mital, Nanyang Technological Univ. (Singapore)

Published in SPIE Proceedings Vol. 1713:
International Conference on Manufacturing Automation
Anand Krishna Asundi; S. T. Tan, Editor(s)

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