Title

Scale Space Technique To Finding Primitives In Images With Application To Road Following

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 model 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 SPIE.

Publication Date

5-11-1987

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

786

Number of Pages

549-560

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.940668

Socpus ID

84958509231 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84958509231

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