Speckle activity images based on the spatial variance of the phase.

We propose the display of the local spatial variance of the temporal variations of the phase as an activity descriptor in dynamic speckle images. The spatial autocorrelation of the speckle intensity is calculated in sliding windows, and an estimation of the variance of the phase variations in each region of the sample is determined. The activity images obtained in this way depict some interesting features and in some cases they could be related to physical magnitudes in the samples. A simulation is presented, and examples corresponding to usual study cases are also shown, namely, fruit bruising and paint drying.

[1]  J D Briers,et al.  Laser speckle contrast analysis (LASCA): a nonscanning, full-field technique for monitoring capillary blood flow. , 1996, Journal of biomedical optics.

[2]  B. Ruth,et al.  Superposition of Two Dynamic Speckle Patterns , 1987 .

[3]  Héctor Rabal,et al.  Bio-speckle assessment of bruising in fruits , 2003 .

[4]  Toshimitsu Asakura,et al.  Bio-speckle phenomena and their application to the evaluation of blood flow , 1991 .

[5]  Héctor Rabal,et al.  Dynamic speckle processing using wavelets based entropy , 2005 .

[6]  H Fujii,et al.  Evaluation of blood flow by laser speckle image sensing. Part 1. , 1987, Applied optics.

[7]  Héctor Rabal,et al.  Display of local activity using dynamical speckle patterns , 2002 .

[8]  Héctor Rabal,et al.  Speckle time evolution characterization by the co-occurrence matrix analysis , 1999 .

[9]  Alejandro Federico,et al.  Simulation of dynamic speckle sequences and its application to the analysis of transient processes , 2006 .

[10]  K Wolff,et al.  Corrosion monitoring with speckle correlation. , 1999, Applied optics.

[11]  J. D. Briers,et al.  The statistics of fluctuating speckle patterns produced by a mixture of moving and stationary scatterers , 1978 .

[12]  G. Tribillon,et al.  Biological Activity Measurement on Botanical Specimen Surfaces Using a Temporal Decorrelation Effect of Laser Speckle , 1989 .

[13]  M Trivi,et al.  Decomposition of biospeckle images in temporary spectral bands. , 2005, Optics letters.

[14]  Héctor Rabal,et al.  Characterizing Dynamic Speckle Time Series with the Hurst Coefficient Concept , 2004 .

[15]  T. Fricke-Begemann Optical measurement of deformation fields and surface processes with digital speckle correlation , 2003 .