Share Email Print

Proceedings Paper

Spatiotemporal edge focusing with multiple-pixel interframe motion
Author(s): A. S. Young; John L. Barron
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Previous work has resulted in a spatio-temporal edge focusing algorithm for computing noiseless well-localized edge maps by tracking edges in both scale space and time. As such, the algorithm was an extension of spatial edge focusing. In this paper, we show how the 1 pixel motion constraint used in the temporal tracking component of the original spatio- temporal edge focusing algorithm can be removed to allow multiple pixel motion between adjacent frames. Our new algorithm is based on a simple Hough transform computation. The final result is an edge detection technique that uses three adjacent images from some sequence to produce a well-localized noiseless edge map for the middle image. A noise model is not explicitly required. Rather, we define an authentic edge as an intensity discontinuity existing over a number of scales and being temporally connected in three adjacent images.

Paper Details

Date Published: 1 March 1992
PDF: 12 pages
Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); doi: 10.1117/12.58617
Show Author Affiliations
A. S. Young, Univ. of Western Ontario (Canada)
John L. Barron, Univ. of Western Ontario (Canada)

Published in SPIE Proceedings Vol. 1708:
Applications of Artificial Intelligence X: Machine Vision and Robotics
Kevin W. Bowyer, Editor(s)

© SPIE. Terms of Use
Back to Top