1 March 1992 Spatiotemporal edge focusing with multiple-pixel interframe motion
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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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. S. Young, A. S. Young, John L. Barron, 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); doi: 10.1117/12.58617; https://doi.org/10.1117/12.58617
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