A new focus detection criterion in holograms of planktonic organisms
| Autor: | Yaumel Arias, J. Rudi Strickler, Jefferson S. Ascaneo, Jorge O. Ricardo, Rubens M. Lopes, Gelaysi Moreno, Leandro Ticlia De La Cruz |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Similarity (geometry)
Image quality Computer science business.industry Inpainting Holography Pattern recognition 02 engineering and technology 01 natural sciences Luminance law.invention Artificial Intelligence law 0103 physical sciences Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Artificial intelligence 010306 general physics Focus (optics) business Software Digital holography |
| Zdroj: | Pattern Recognition Letters. 138:497-506 |
| ISSN: | 0167-8655 |
| DOI: | 10.1016/j.patrec.2020.08.004 |
| Popis: | With the increased use of digital holography to observe biological events in three dimensions the need for autofocusing becomes essential. We introduced a modified image quality evaluation technique as a focus criterion in the reconstruction of digital holograms. The method employed was initially proposed by [Wang et al. (2008)] to evaluate image inpainting quality from three aspects: luminance, definition, and gradient similarity. We considered these criteria for automatic focusing, individually and in combination. Our numerical simulation and experimental results obtained from 96 holograms of planktonic organisms show that the combined approach provided more accurate results compared to the individual metrics. We propose the use of such combined criterion to implement autofocusing algorithms for serial holograms, such as from observations of performances of plankton behavior. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect