Volumetric analysis of digital objects using distance transformation: performance issues and applications

David Coeurjolly 1
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : In binary images, the distance transformation (DT) and the geometrical medial axis are classic tools for shape analysis. In the digital geometry literature, recent articles have demonstrated that fast algorithms can be designed without any approximation of the Euclidean metric. The aim of the paper is to first give an overview of separable techniques to compute the distance transformation, the reverse distance transformation and a discrete medial axis extraction with the Euclidean metric. Then we will focus on performance issues and different applications in shape analysis.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01381533
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Submitted on : Friday, October 14, 2016 - 2:48:06 PM
Last modification on : Thursday, November 1, 2018 - 1:19:49 AM

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David Coeurjolly. Volumetric analysis of digital objects using distance transformation: performance issues and applications. Workshop on Applications of Digital Geometry and Mathematical Morphology, Aug 2010, Istanbul, Turkey. pp.82-92, ⟨10.1007/978-3-642-32313-3_6⟩. ⟨hal-01381533⟩

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