Abstract
Edge detection is a fundamental process in many low-level vision algorithms. It generates a concise and a compact description of the image structure, suitable for manipulation in computer vision tasks. In this paper we describe an application of Cellular Automata to the reconstruction of edges in an image. The discussed approach is an improvement on the original weak membrane model. Such approach showed good performance when implemented on a massively parallel architecture.
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© 1997 Springer-Verlag London Limited
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Adorni, G., D’Andrea, V., Pereira, R.A.M. (1997). A Cooperating Edge Grammar for Edge Detection. In: ACRI ’96. Springer, London. https://doi.org/10.1007/978-1-4471-0941-9_16
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DOI: https://doi.org/10.1007/978-1-4471-0941-9_16
Publisher Name: Springer, London
Print ISBN: 978-3-540-76091-7
Online ISBN: 978-1-4471-0941-9
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