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.
Type de document :
Communication dans un congrès
Domingo Mery and Luis Rueda. Advances in Image and Video Technology, Second Pacific Rim Symposium, PSIVT 2007, Santiago, Chile, December 17-19, Dec 2007, Santiago, Chile. Springer, 4872, pp.575-585, 2007, Lecture Notes in Computer Science. 〈10.1007/978-3-540-77129-6_50〉
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https://hal.inria.fr/inria-00176098
Contributeur : Mauricio Cerda <>
Soumis le : mardi 2 octobre 2007 - 14:40:18
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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Mauricio Cerda, Nancy Hitschfeld-Kahler, Domingo Mery. Robust Tree-Ring Detection. Domingo Mery and Luis Rueda. Advances in Image and Video Technology, Second Pacific Rim Symposium, PSIVT 2007, Santiago, Chile, December 17-19, Dec 2007, Santiago, Chile. Springer, 4872, pp.575-585, 2007, Lecture Notes in Computer Science. 〈10.1007/978-3-540-77129-6_50〉. 〈inria-00176098〉

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