Spatiotemporal edge focusing with multiple-pixel interframe motion

A. S. Young; John L. Barron

doi:10.1117/12.58617

1 March 1992 Spatiotemporal edge focusing with multiple-pixel interframe motion

A. S. Young, John L. Barron

Proceedings Volume 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics; (1992) https://doi.org/10.1117/12.58617
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

A. S. Young and John L. Barron "Spatiotemporal edge focusing with multiple-pixel interframe motion", Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); https://doi.org/10.1117/12.58617

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available