info:eu-repo/semantics/article
Tuneable algorithms for tracking activity images in dynamic speckle applications
Date
2020-06Registration in:
Buffarini, Leandro; Rabal, Hector Jorge; Cap, Nelly Lucía; Grumel, Eduardo Emilio; Trivi, Marcelo Ricardo; et al.; Tuneable algorithms for tracking activity images in dynamic speckle applications; Elsevier; Optics And Lasers In Engineering; 129; 6-2020; 1-13
0143-8166
CONICET Digital
CONICET
Author
Buffarini, Leandro
Rabal, Hector Jorge
Cap, Nelly Lucía
Grumel, Eduardo Emilio
Trivi, Marcelo Ricardo
Finger, Paul
Abstract
Herein we present a generalized algorithm for processing activity images. Existing algorithms are applicable only to particular cases, and a new, broader approach is therefore proposed here that is based on a set of tuneable filters for images, using an extension of the addition and subtraction operations. The choice of tuning parameter is determined based on the desired result in each experimental case. We include several objective criteria to guide the choice of the most suitable value for the parameter. The use of our approach is exemplified with typical images with dynamic speckle, such as reading under paper, corn seeds and ultrasound images. These examples are also potentials applications in engineering environments.