16 May 2003 Spatial speckle characterization by Brownian motion analysis
Author Affiliations +
Proceedings Volume 5111, Fluctuations and Noise in Photonics and Quantum Optics; (2003) https://doi.org/10.1117/12.497373
Event: SPIE's First International Symposium on Fluctuations and Noise, 2003, Santa Fe, New Mexico, United States
Abstract
It is well known that interactions between a coherent monochromatic radiation and a scattering media induce a speckle phenomenon. Spatial and temporal statistics of this speckle allow many applications in laser imaging. The main problem is the characterization of the backscattered media from the speckle pattern in biomedical imagery. In this paper, we present a stochastic approach based on Brownian motion theory in the approximation of the diffusion. Stochastic processes showing statistical scale law are, under some assumptions, called fractional Brownian motion (fBm) which is a generalization of ordinary Brownian motion (Bm) as defined by Mandelbrot and Van Ness. This extension is related to the existence of a long-range statistic dependence in the process. This dependence is quantified by the Hurst exponent H that is a 'scale factor' indicating the persistence (H>0.5), totally random (H=0.5) or the anti-persistence (H<0.5) nature of the process. Variogram analysis is a possible method to estimate the Hurst exponent. We applied this approach by estimation of the mean quadratic spatial difference, or diffusion function, for 2D analysis of speckle image. Hence, spatial speckle is characterize by extracting from diffusion function plot a set of three parameters; the Hurst exponent, the saturation of the variance and the characteristic element size. Applications of this method to characterization of test media are presented. We find that for all test media with different latex micro-ball concentrations (1%, 5% and 10%) the characteristic element size and the saturation of the variance discriminate media while Hurst exponent seems to be constant for all concentrations. This first results permit us to hope in application like skin lesion quantification in dermatology.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marie-Cecile Peron, Marie-Cecile Peron, Steve Guyot, Steve Guyot, Eric Delechelle, Eric Delechelle, } "Spatial speckle characterization by Brownian motion analysis", Proc. SPIE 5111, Fluctuations and Noise in Photonics and Quantum Optics, (16 May 2003); doi: 10.1117/12.497373; https://doi.org/10.1117/12.497373
PROCEEDINGS
11 PAGES


SHARE
RELATED CONTENT

Stochastic analysis of speckle in backscattering
Proceedings of SPIE (October 13 2003)
Drying paint by means of dynamic speckle patterns
Proceedings of SPIE (July 05 1999)
Speckle pattern characterization by circular statistics
Proceedings of SPIE (July 11 2007)
Speckle: tool for diagnosis assistance
Proceedings of SPIE (September 14 2006)

Back to Top