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....
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Bigot, S., Kachi, D., Durand, S. (2008). Spherical Edge Detector: Application to Omnidirectional Imaging. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2008. Lecture Notes in Computer Science, vol 5259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88458-3_50
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DOI: https://doi.org/10.1007/978-3-540-88458-3_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88457-6
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