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Proceedings Paper

Scale Space Technique To Finding Primitives In Images With Application To Road Following1
Author(s): Arun K. Sood; Mubarak Shah
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Paper Abstract

In this paper, we present an approach to find primitives in images using scale space. There are two parts of our scheme. First, the hypothesis framing algorithm is utilized to get qualitative support for the presence of primitive by verifying its behavior at various scale. During this phase we also eliminate the noisy contours. Next, the optimization algorithm is applied to fit the model of primitive to the edge points in the scale space. Through, fitting we get a kind of quantitative support and estimate the unknown parameters in the model of a primitive. In this paper, we only consider a pulse primitive, but our approach is valid for other primitives. We have also used a pulse function to model a road. There are two discontinuities in the pulse mode/ one corresponding to the left edge of the road and the other corresponding to right edge of the road. We present a new algorithm to identify road edges using scale space. Attraction of our approach is that it reduces two dimensional analysis to only single dimension.

Paper Details

Date Published: 11 May 1987
PDF: 13 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940668
Show Author Affiliations
Arun K. Sood, George Mason University (United States)
Mubarak Shah, University Of Central Florida (United States)

Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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