Numerical model for simulation of dynamic speckle reference patterns

Sendra, Gonzalo Hernán; Rabal, H.; Trivi, Marcelo; Arizaga, Ricardo

doi:10.1016/j.optcom.2009.06.022

Cited by 28 publications

(14 citation statements)

References 18 publications

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“…Both geometries were studied before [6,7] using both a numerical model and an actual experiment, exhibiting very similar results.…”

Section: B Pure Translation and Pure Boilingmentioning

confidence: 95%

“…Regarding the geometry for pure translation, a small amount of boiling is unavoidable in experimental conditions. The conditions and geometrical experimental parameters for translational speckle patterns with boiling and for pure boiling speckle patterns were reproduced from the work of Sendra et al [6].…”

Section: Methodsmentioning

confidence: 99%

“…The method was evaluated with patterns generated by rigid body displacement under the following situations: pure translation, pure boiling, and mixed translational-boiling resulting speckle patterns [5]. We used both numerical simulations and controlled experiments to generate dynamic speckle patterns with different activity levels [6,7]. A moving diffuser with different velocities was employed to generate several activity levels.…”

Section: Introductionmentioning

confidence: 99%

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Island analysis of low-activity dynamic speckles

et al. 2013

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In this work we present a method to evaluate activity in low dynamic speckle patterns. It consists of binarizing the speckle image and analyzing the displacements and deformations of the resulting speckle grain regions, here called islands. Numerical simulations and controlled experiments were used to study the variations of the island features with the aim of finding a correlation with the activity of the speckle pattern. From the obtained results it was possible to conclude that the developed method can be useful for the analysis of low activity speckle patterns with the advantage of requiring only pairs of frames, thus permitting the assessment of nonstationary processes. In the case of stationary phenomena, so that stacks of frames registers are representative of them, dilute activity images can also be constructed.

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“…Both geometries were studied before [6,7] using both a numerical model and an actual experiment, exhibiting very similar results.…”

Section: B Pure Translation and Pure Boilingmentioning

confidence: 95%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Island analysis of low-activity dynamic speckles

et al. 2013

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“…The Butterworth filter is commonly used in the literature for this type of operation [22][23][24][25]. The innovative contribution that we propose here is how automatically set the parameters so that it is perfectly adapted to the spectrum under investigation.…”

Section: Digital Filtering: Traditional Approach and Proposed Methodsmentioning

confidence: 99%

Automatic digital filtering for the accuracy improving of a digital holographic measurement system

Matrecano¹,

Miccio²,

Persano³

et al. 2014

Optical Micro- And Nanometrology V

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Digital holography (DH) is a well-established interferometric tool in optical metrology allowing the investigation of engineered surface shapes with microscale lateral resolution and nanoscale axial precision. With the advent of charged coupled devices (CCDs) with smaller pixel sizes, high speed computers and greater pixel numbers, DH became a very feasible technology which offers new possibilities for a large variety of applications. DH presents numerous advantages such as the direct access to the phase information, numerical correction of optical aberrations and the ability of a numerical refocusing from a single hologram. Furthermore, as an interferometric method, DH offers both a nodestructive and no-contact approach to very fragile objects combined with flexibility and a high sensitivity to geometric quantities such as thicknesses and displacements. These features recommend it for the solution of many imaging and measurements problems, such as microelectro-optomechanical systems (MEMS/MEOMS) inspection and characterization. In this work, we propose to improve the performance of a DH measurement on MEMS devices, through digital filters. We have developed an automatic procedure, inserted in the hologram reconstruction process, to selectively filter the hologram spectrum. The purpose is to provide very few noisy reconstructed images, thus increasing the accuracy of the conveyed information and measures performed on images. Furthermore, improving the image quality, we aim to make this technique application as simple and as accurate as possible.

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“…With this aim, a set of simulated speckle patterns was generated by using a numerical model that had been tested with actual experiments 2 . It is based on the simulation of an in-plane moving diffuser in pure boiling conditions; where the activity level varies according to the speed of the diffuser in a controlled way.…”

Section: Introductionmentioning

confidence: 99%

Signal Feature Extraction Using Granular Computing. Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns

Pra¹,

Passoni²,

Sendra³

et al. 2015

IJCIS

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The laser dynamic speckle is a phenomenon caused by the fluctuant interference of the laser light reflected from an illuminated surface where some kind of activity is taking place. Signals generated by the intensity changes in each pixel through the sequence are processed with the finality of identifying underlying activity in each point. In this work we compare the performance of a Rough Fuzzy Granular Descriptor (previously published) against a set of dynamic speckle descriptors based in time and frequency processing. To perform this evaluation a numerical simulation is proposed to explore their linearity, robustness, sensitivity related to the samples quantity, as well as also by their computing time. Also the robustness to inhomogeneous spatial intensity was evaluated in an experiment performed with the illuminated surface of an actual biological object.

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Numerical model for simulation of dynamic speckle reference patterns

Cited by 28 publications

References 18 publications

Island analysis of low-activity dynamic speckles

Island analysis of low-activity dynamic speckles

Automatic digital filtering for the accuracy improving of a digital holographic measurement system

Signal Feature Extraction Using Granular Computing. Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns

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