Paper
23 September 1999 Gray-scale image processing using topological operators
Michel Couprie, Francisco-Nivando Bezerra, Gilles Bertrand
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Abstract
In recent work, we introduced topological notions for grayscale images based on a cross-section topology. In particular, the notion of destructible point, which corresponds to the classical notion of simple point, allows to build operators that simplify a grayscale image while preserving its topology. In this paper, we introduce new notions and operators in the framework of the cross-section topology. In particular, the notion of (lambda) -destructible point allows us to selectively modify the topology, based on a local contrast parameter (lambda) . By combining homotopic and non-homotopic operators, we introduce new methods for filtering, thinning, segmenting and enhancing grayscale images.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michel Couprie, Francisco-Nivando Bezerra, and Gilles Bertrand "Gray-scale image processing using topological operators", Proc. SPIE 3811, Vision Geometry VIII, (23 September 1999); https://doi.org/10.1117/12.364101
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Cited by 10 scholarly publications.
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KEYWORDS
Image segmentation

Binary data

Image filtering

Image processing algorithms and systems

Image processing

Digital filtering

Algorithm development

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