Skip to Main content Skip to Navigation
Conference papers

Robust Tree-Ring Detection

Mauricio Cerda 1 Nancy Hitschfeld-Kahler 2 Domingo Mery 3
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/inria-00176098
Contributor : Mauricio Cerda <>
Submitted on : Tuesday, October 2, 2007 - 2:40:18 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

Links full text

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

282