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Proceedings Paper

Application of laser speckle pattern analysis for plant sensing
Author(s): Xu Zhong; Xuezhi Wang; Nicola Cooley; Peter Farrell; Bill Moran
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Paper Abstract

Laser speckle interferometry is used to detect micro-structure and its dynamic behavior of a sample surface by the statistical analysis of its laser speckle images. In this paper, the methodology of laser speckling and statistical analysis are studied with the aims to develop a non-contact, non-destructive surface sensing technique which potentially devices a compact, cost-effective tool for measuring the biological status of a plant by scanning its leaves. First, an auto-correlation based analysis method is proposed for the discrimination of various surface roughness levels using their laser speckle statistics. Second, techniques for dynamic speckle pattern analysis for the detection of the evolution of a time-varying sample surface are discussed. The effectiveness of proposed measurement methods are demonstrated via the experiment on a detached leaf.

Paper Details

Date Published: 4 March 2013
PDF: 6 pages
Proc. SPIE 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering, 876102 (4 March 2013); doi: 10.1117/12.2019463
Show Author Affiliations
Xu Zhong, The Univ. of Melbourne (Australia)
Xuezhi Wang, The Univ. of Melbourne (Australia)
Nicola Cooley, The Univ. of Melbourne (Australia)
Peter Farrell, The Univ. of Melbourne (Australia)
Bill Moran, The Univ. of Melbourne (Australia)


Published in SPIE Proceedings Vol. 8761:
PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering
Honghua Tan, Editor(s)

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