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Pré-Publication, Document De Travail Année : 2016

Automatic choice of the threshold of a grain filter via Galton-Watson trees. Application to granite cracks detection

Résumé

The goal of this paper is the presentation of post-processing method allowing to remove impulse noise in binary images, while preserving thin structures. We use a grain filter as in [5]. We propose a method to automatically determine the required threshold using Galton-Watson processes. We present numerical results using X-tomography images of a granite block (2D and 3D) to illustrate how we get rid of the noise while cracks are kept.
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Dates et versions

hal-01337551 , version 1 (27-06-2016)
hal-01337551 , version 2 (10-01-2017)

Identifiants

  • HAL Id : hal-01337551 , version 1

Citer

Romain Abraham, Maïtine Bergounioux, Pierre Debs. Automatic choice of the threshold of a grain filter via Galton-Watson trees. Application to granite cracks detection. 2016. ⟨hal-01337551v1⟩
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