Spherical Edge Detector: Application to Omnidirectional Imaging

Authors:
Stéphanie Bigot;Djemaa Kachi;Sylvain Durand
Affiliations:
L.A.M.F.A., UMR CNRS 6140 - U.P.J.V., Amiens, France 80000;C.R.E.A., EA 3299 - U.P.J.V., Amiens, France 80039;L.A.M.F.A., UMR CNRS 6140 - U.P.J.V., Amiens, France 80000
Venue:
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Year:
2008

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Abstract

In this paper, we present an efficient approach to detect edges in omnidirectional images. The main problem with such images, is that resolution is very high in the periphery and poor in the center. Applying the classical (planar) operators to these images will introduce errors. We propose to map the image on the unit sphere of equivalence, and to construct edge and smooth operators in this new space. The effect of the proposed edge detector is the same over the image. We will show that results obtained by our image processing tools give better results than classical edge detection operators....