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Optical Engineering

System and algorithm design for a new generation tree-ring image analysis system
Author(s): Zhijun He; Martin Munro; Giribalan Gopalan; Vishwas Kulkarni; Robert A. Schowengerdt; Malcolm K. Hughes
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Paper Abstract

We introduce a new generation of a semiautomated tree-ring image analysis system and new image analysis algorithms. System design, new tree-ring image registration, ring boundary identification, and average ring width and brightness profile measurement algorithms are described. By using a pyramid multiscale image registration algorithm, the program gains registration speed with little sacrifice of accuracy. For boundary identification, two new assumptions and associated nonring feature suppression, edge tracking, and fragment linking methods are proposed, such that most of the complicated ring boundaries can be identified successfully. To obtain more detailed information about the ring growth changes with time, an average brightness profile measurement algorithm is implemented. Additionally, automatic geometry warping is introduced to the average ring width and brightness profile measurement to handle abnormal ring cases. To allow manual override of the results, a new user intervention design is also implemented and described.

Paper Details

Date Published: 1 February 2008
PDF: 15 pages
Opt. Eng. 47(2) 027003 doi: 10.1117/1.2857405
Published in: Optical Engineering Volume 47, Issue 2
Show Author Affiliations
Zhijun He, The Univ. of Arizona (United States)
Martin Munro, The Univ. of Arizona (United States)
Giribalan Gopalan, The Univ. of Arizona (United States)
Vishwas Kulkarni, The Univ. of Arizona (United States)
Robert A. Schowengerdt, The Univ. of Arizona (United States)
Malcolm K. Hughes, The Univ. of Arizona (United States)


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