Cargando…

A spectral optical flow method for determining velocities from digital imagery

We present a method for determining surface flows from solar images based upon optical flow techniques. We apply the method to sets of images obtained by a variety of solar imagers to assess its performance. The opflow3d procedure is shown to extract accurate velocity estimates when provided perfect...

Descripción completa

Detalles Bibliográficos
Autores principales: Hurlburt, Neal, Jaffey, Steve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981165/
https://www.ncbi.nlm.nih.gov/pubmed/27563357
http://dx.doi.org/10.1007/s12145-015-0224-4
_version_ 1782447573237235712
author Hurlburt, Neal
Jaffey, Steve
author_facet Hurlburt, Neal
Jaffey, Steve
author_sort Hurlburt, Neal
collection PubMed
description We present a method for determining surface flows from solar images based upon optical flow techniques. We apply the method to sets of images obtained by a variety of solar imagers to assess its performance. The opflow3d procedure is shown to extract accurate velocity estimates when provided perfect test data and quickly generates results consistent with completely distinct methods when applied on global scales. We also validate it in detail by comparing it to an established method when applied to high-resolution datasets and find that it provides comparable results without the need to tune, filter or otherwise preprocess the images before its application.
format Online
Article
Text
id pubmed-4981165
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-49811652016-08-23 A spectral optical flow method for determining velocities from digital imagery Hurlburt, Neal Jaffey, Steve Earth Sci Inform Software Article We present a method for determining surface flows from solar images based upon optical flow techniques. We apply the method to sets of images obtained by a variety of solar imagers to assess its performance. The opflow3d procedure is shown to extract accurate velocity estimates when provided perfect test data and quickly generates results consistent with completely distinct methods when applied on global scales. We also validate it in detail by comparing it to an established method when applied to high-resolution datasets and find that it provides comparable results without the need to tune, filter or otherwise preprocess the images before its application. Springer Berlin Heidelberg 2015-05-12 2015 /pmc/articles/PMC4981165/ /pubmed/27563357 http://dx.doi.org/10.1007/s12145-015-0224-4 Text en © Springer-Verlag Berlin Heidelberg 2015
spellingShingle Software Article
Hurlburt, Neal
Jaffey, Steve
A spectral optical flow method for determining velocities from digital imagery
title A spectral optical flow method for determining velocities from digital imagery
title_full A spectral optical flow method for determining velocities from digital imagery
title_fullStr A spectral optical flow method for determining velocities from digital imagery
title_full_unstemmed A spectral optical flow method for determining velocities from digital imagery
title_short A spectral optical flow method for determining velocities from digital imagery
title_sort spectral optical flow method for determining velocities from digital imagery
topic Software Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981165/
https://www.ncbi.nlm.nih.gov/pubmed/27563357
http://dx.doi.org/10.1007/s12145-015-0224-4
work_keys_str_mv AT hurlburtneal aspectralopticalflowmethodfordeterminingvelocitiesfromdigitalimagery
AT jaffeysteve aspectralopticalflowmethodfordeterminingvelocitiesfromdigitalimagery
AT hurlburtneal spectralopticalflowmethodfordeterminingvelocitiesfromdigitalimagery
AT jaffeysteve spectralopticalflowmethodfordeterminingvelocitiesfromdigitalimagery