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Proceedings Paper

Topological approach to image segmentation
Author(s): Gilles Bertrand; Jean-Christophe Everat; Michel Couprie
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Paper Abstract

We consider a cross-section topology which is defined on grayscale images. The main interest of this topology is that it keeps track of the grayscale information of an image. We define some basic notions relative to that topology. Furthermore, we indicate how to get an homotopic kernel. Such a kernel may be seen as an `ultimate' topological simplification of an image. A kernel of a real image, though simplified, is still an intricated image from a topological point of view. We introduce the notion of irregular region. The iterative method of irregular regions in a kernel allows to selectively simplify the topology. Through an example, we show that this notion leads to a method for segmenting some grayscale images without the need of defining and tuning parameters.

Paper Details

Date Published: 30 September 1996
PDF: 12 pages
Proc. SPIE 2826, Vision Geometry V, (30 September 1996); doi: 10.1117/12.251813
Show Author Affiliations
Gilles Bertrand, ESIEE (France)
Jean-Christophe Everat, ESIEE (France)
Michel Couprie, ESIEE (France)


Published in SPIE Proceedings Vol. 2826:
Vision Geometry V
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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