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Conference Papers Year : 2007

Robust Tree-Ring Detection

Mauricio Cerda
  • Function : Author
  • PersonId : 843075
Nancy Hitschfeld-Kahler
  • Function : Author
  • PersonId : 843076
Domingo Mery
  • Function : Author
  • PersonId : 843077


The study of tree-rings is a common task in dendrology. Usually the rings deliver information about the age of the tree, historic climate conditions and forest densities. Many different techniques exist to perform the tree-ring detection, but they commonly are semi-automatic. The main idea of this work is to propose an automatic process for the tree-ring detection and compare it with a manual detection made by an expert in dendrology. The proposed technique is based on a variant of the Generalized Hough Transform (GHT) created using a very simple growing model of the tree. The presented automatic algorithm shows tolerance to textured and very noisy images, giving a good tree-ring recognition in most of the cases. In particular, it correctly detects the 80% of the tree-rings in our sample database.

Dates and versions

inria-00176098 , version 1 (02-10-2007)



Mauricio Cerda, Nancy Hitschfeld-Kahler, Domingo Mery. Robust Tree-Ring Detection. Advances in Image and Video Technology, Second Pacific Rim Symposium, PSIVT 2007, Santiago, Chile, December 17-19, Dec 2007, Santiago, Chile. pp.575-585, ⟨10.1007/978-3-540-77129-6_50⟩. ⟨inria-00176098⟩
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