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Optical Engineering

Multiscale analysis of range image: its use for growth increment characterization
Author(s): Alan Diou; Christophe Dumont; Olivier Laligant; Marc F. Toubin; Frederic Truchetet; Eric P. Verrecchia; Mongi A. Abidi
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Paper Abstract

A new image-processing approach for object analysis in life and earth sciences is presented. This approach is based on a multiresolution algorithm in image processing. A clamshell surface has been digitized using a noncontact optical sensor based on laser triangulation. The 3-D surface obtained constitutes an image that can be characterized by multiresolution analysis. The application of this method to the study of a bivalve shell surface (Unio sp., Recent Atlantic, Holocene) allowed the various growth increments and their potential relationship with environmental constraints to be measured. The algorithm used in this paper is based on the wavelet transform theory.

Paper Details

Date Published: 1 December 1999
PDF: 6 pages
Opt. Eng. 38(12) doi: 10.1117/1.602305
Published in: Optical Engineering Volume 38, Issue 12
Show Author Affiliations
Alan Diou, Univ. of Burgundy (France)
Christophe Dumont, Univ. de Bourgogne (France) and Univ. of Tennessee/Knoxville (United States)
Olivier Laligant, Univ. de Bourgogne (France)
Marc F. Toubin, Univ. de Bourgogne (France) and Univ. of Tennessee/Knoxville (France)
Frederic Truchetet, Univ. de Bourgogne (France)
Eric P. Verrecchia, Univ. of Burgundy (France)
Mongi A. Abidi, Univ. of Tennessee/Knoxville (United States)

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