Tuneable algorithms for tracking activity images in dynamic speckle applications
| Autor: | Héctor Rabal, Leandro Buffarini, Nelly Cap, Marcelo Trivi, Paul T. Finger, Eduardo Emilio Grumel |
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| Rok vydání: | 2020 |
| Předmět: |
Dynamic speckle
Computer science Mechanical Engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Subtraction Image processing 02 engineering and technology Extension (predicate logic) Generalized algorithm 021001 nanoscience & nanotechnology Tracking (particle physics) 01 natural sciences Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials 010309 optics Set (abstract data type) 0103 physical sciences Electrical and Electronic Engineering 0210 nano-technology Algorithm |
| Zdroj: | Optics and Lasers in Engineering. 129:106084 |
| ISSN: | 0143-8166 |
| DOI: | 10.1016/j.optlaseng.2020.106084 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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