Paper
15 September 2006 Dynamic speckle texture processing using averaged dimensions
Héctor Rabal, Ricardo Arizaga, Nelly Cap, Marcelo Trivi, Adriana Mavilio Nuñez, Margarita Fernandez Limia
Author Affiliations +
Proceedings Volume 6341, Speckle06: Speckles, From Grains to Flowers; 63412G (2006) https://doi.org/10.1117/12.695503
Event: Speckle06: Speckles, From Grains to Flowers, 2006, Nimes, France
Abstract
Dynamic speckle or biospeckle is a phenomenon generated by laser light scattering in biological tissues. It is also present in some industrial processes where the surfaces exhibit some kind of activity. There are several methods to characterize the dynamic speckle pattern activity. For quantitative measurements, the Inertia Moment of the co occurrence matrix of the temporal history of the speckle pattern (THSP) is usually used. In this work we propose the use of average dimensions (AD) for quantitative classifications of textures of THSP images corresponding to different stages of the sample. The AD method was tested in an experiment with the drying of paint, a non biological phenomenon that we usually use as dynamic speckle initial test. We have chosen this phenomenon because its activity can be followed in a relatively simple way by gravimetric measures and because its behaviour is rather predictable. Also, the AD was applied to numerically simulated THSP images and the performance was compared with other quantitative method. Experiments with biological samples are currently under development.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Héctor Rabal, Ricardo Arizaga, Nelly Cap, Marcelo Trivi, Adriana Mavilio Nuñez, and Margarita Fernandez Limia "Dynamic speckle texture processing using averaged dimensions", Proc. SPIE 6341, Speckle06: Speckles, From Grains to Flowers, 63412G (15 September 2006); https://doi.org/10.1117/12.695503
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KEYWORDS
Speckle

Image segmentation

Speckle pattern

Computer simulations

Lanthanum

Image classification

Laser scattering

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