Temporal difference method for processing dynamic speckle patterns

2010 ◽  
Vol 283 (24) ◽  
pp. 4972-4977 ◽  
Author(s):  
L. Martí-López ◽  
H. Cabrera ◽  
R.A. Martínez-Celorio ◽  
R. González-Peña
Keyword(s):  
Difference Method ◽  
Temporal Difference ◽  
Dynamic Speckle ◽  
Speckle Patterns

Seed characterization by dynamic speckle patterns: a proposal

2000 ◽  
Author(s):  
Roberto A. Braga, Jr. ◽  
Flavio M. Borem ◽  
Inacio M. Dal Fabbro ◽  
Ricardo A. Arizaga ◽  
Hector J. Rabal ◽  
...  
Keyword(s):  
Dynamic Speckle ◽  
Speckle Patterns

scholarly journals A temporal difference method for multi-objective reinforcement learning

2017 ◽  
Vol 263 ◽  
pp. 15-25 ◽  
Author(s):  
Manuela Ruiz-Montiel ◽  
Lawrence Mandow ◽  
José-Luis Pérez-de-la-Cruz
Keyword(s):  
Reinforcement Learning ◽  
Difference Method ◽  
Temporal Difference ◽  
Multi Objective

A ROBUST MOVING BODY RECOGNITION METHOD

2012 ◽  
Vol 11 (02) ◽  
pp. 107-114
Author(s):  
SHOUJIA WANG ◽  
WENHUI LI ◽  
BO FU ◽  
HONGYIN NI ◽  
CONG WANG
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Connected Domain ◽  
Difference Method ◽  
Recognition Accuracy ◽  
Temporal Difference ◽  
Recognition Method ◽  
Moving Body ◽  
Robust Recognition ◽  
Body Recognition

At present, moving body recognition is one of the most active areas of research in the field of computer vision and is used widely in all kinds of videos. But the recognition accuracy of these methods has changed negatively because of the complexity of the background. In this paper, we put forward a robust recognition method. First, we obtain the moving body by tripling the temporal difference method. And then we eliminate noise from these images by mathematical morphology. Finally, we use three-scanning notation method to mark and connect the connected domain. This new method is more accurate and requires less computation in real-time experiments. The experiment result also proves its robustness.

Drying paint by means of dynamic speckle patterns

1999 ◽  
Author(s):  
Ricardo A. Arizaga ◽  
Hector J. Rabal ◽  
Marcelo Trivi ◽  
Carlos A. Lasquibar ◽  
Javier I. Amalvy
Keyword(s):  
Dynamic Speckle ◽  
Speckle Patterns

Modeling Dynamic Laser Speckle Patterns of Plant Leaves

2013 ◽  
Vol 694-697 ◽  
pp. 1363-1367 ◽  
Author(s):  
Xu Zhong ◽  
Xue Zhi Wang ◽  
Peter Farrell ◽  
Nicola Cooley ◽  
Bill Moran
Keyword(s):  
Leaf Surface ◽  
Temporal Evolution ◽  
Water Status ◽  
Sample Surface ◽  
Laser Speckle ◽  
Plant Leaves ◽  
Electromagnetic Wave Scattering ◽  
Dynamic Speckle ◽  
Speckle Patterns ◽  
The Relationship

t is known that dynamic speckle patterns can be used to identify the temporal evolution of an active sample and some desired properties of the sample may therefore be detected via the dynamic laser speckle analysis. Mathematically understand the structure of sample surface which gives arise to the dynamic speckle patterns is crucial to the analysis. In this paper, a simulation model of the dynamic speckle patterns for plant leaves is proposed. The developed model is derived from the principle of coherent electromagnetic wave scattering off a randomly textured and time varying surface and is demonstrated via the simulation of dynamic speckle patterns of a fresh unattached leaf surface along the true laser speckle measurements. Both simulated and true measurements of the dynamic speckle patterns of the leaf are analyzed via several statistical techniques and a consistent agreement between the results of the two is observed. The proposed statistical model is helpful to gain the insight of the relationship between speckle dynamics and the activity of the leaf surface which is supposed to be an measurement of plant water stress and water status.

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