Paper
11 May 1987 Scale Space Technique To Finding Primitives In Images With Application To Road Following1
Arun K. Sood, Mubarak Shah
Author Affiliations +
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arun K. Sood and Mubarak Shah "Scale Space Technique To Finding Primitives In Images With Application To Road Following1", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); https://doi.org/10.1117/12.940668
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Cited by 1 scholarly publication.
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KEYWORDS
Roads

Optimization (mathematics)

Evolutionary algorithms

Artificial intelligence

Image filtering

Edge detection

Signal to noise ratio

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