1 December 1999 Multiscale analysis of range image: its use for growth increment characterization
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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.
Alan Diou, Christophe Dumont, Olivier Laligant, Marc F. Toubin, Frederic Truchetet, Eric P. Verrecchia, Mongi A. Abidi, "Multiscale analysis of range image: its use for growth increment characterization," Optical Engineering 38(12), (1 December 1999). https://doi.org/10.1117/1.602305
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