44 Papers
121 Citations
Nelly Cap is an academic researcher from National Scientific and Technical Research Council. The author has contributed to research in topics: Dynamic speckle & Speckle pattern. The author has an hindex of 10, co-authored 44 publications. Previous affiliations of Nelly Cap include National University of La Plata.
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Papers
Transient phenomena analysis using dynamic speckle patterns
TL;DR: The full width at half maximum (FWHM) is sometimes used to characterize the autocorrelation function of the time history of a speckle pattern in this article.
54
Following the drying of spray paints using space and time contrast of dynamic speckle
Ricardo Arizaga,Eduardo Emilio Grumel,Nelly Cap,Marcelo Trivi,Javier Ignacio Amalvy,Javier Ignacio Amalvy,Bernardo Yepes,Germán Ricaurte +7 more
TL;DR: In this article, the authors used dynamic speckle techniques to study the drying process of a spray paint with relatively long drying times, and developed alternative speckles contrast methods to characterize faster processes.
32
Numerical model for dynamic speckle: an approach using the movement of the scatterers
TL;DR: In this paper, the authors presented some results of a numerical model to describe the time history of a dynamic speckle pattern considering very simplified situations, and the obtained results are in agreement with some of the expected from the theory and qualitatively with the experimental results outlined in previous works.
28
Fractional order mean in image processing
TL;DR: In this paper, the authors explore the features of a family of nonlinear filters called the fractional order mean (FOM) filters, which belong to this family as particular integer orders.
17
Speckle activity images based on the spatial variance of the phase
Héctor Rabal,Nelly Cap,Marcelo Trivi,Ricardo Arizaga,Alejandro Federico,Gustavo E. Galizzi,Guillermo H. Kaufmann +6 more
TL;DR: The display of the local spatial variance of the temporal variations of the phase as an activity descriptor in dynamic speckle images depicts some interesting features and in some cases they could be related to physical magnitudes in the samples.