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Proceedings Paper

Edge Detection In Real-Time
Author(s): C. D . Mcllroy; R. Linggard; W. Monteith
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Paper Abstract

A hardware system for real-time image processing is described. The hardware is designed to work at a 10 MHz pixel rate, and will accommodate 512 x 512 images at 25 frames per second. The techniques of parallelism and pipelining are used to achieve the required speed. The system's primary function is the application of an edge detection algorithm to video data in real-time, the algorithm being a 2 x 2 Roberts operator thresholded with a function of local average brightness. The output of the system is a single bit/pixel edge picture which can be directly transferred into the memory of the host computer for further processing. Manipulation of the threshold function allows the system to disregard the edge detection function, and work directly on a greyscale image. The resulting single bit/pixel images can range from simple thresholded greyscale to the display of greyscale intensity contours. The edge detection process, coupled with these additional operational modes, makes the system a powerful tool for image processing.

Paper Details

Date Published: 4 December 1984
PDF: 10 pages
Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); doi: 10.1117/12.944895
Show Author Affiliations
C. D . Mcllroy, The Queen's University of Belfast (Ireland)
R. Linggard, The Queen's University of Belfast (Ireland)
W. Monteith, The Queen's University of Belfast (Ireland)


Published in SPIE Proceedings Vol. 0504:
Applications of Digital Image Processing VII
Andrew G. Tescher, Editor(s)

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