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...
Autores principales: | , |
---|---|
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 |