Next Article in Journal
What Do Leaders Know?
Next Article in Special Issue
3D Reconstruction of Coronal Loops by the Principal Component Analysis
Previous Article in Journal
Time Evolution of Relative Entropies for Anomalous Diffusion
Entropy 2013, 15(8), 3007-3030; doi:10.3390/e15083007

Optimization of Curvilinear Tracing Applied to Solar Physics and Biophysics

1,* , 1
1 Lockheed Martin Solar and Astrophysics Laboratory, Building 252, Organization A021S, 3251 Hanover Street, Palo Alto, CA 94304, USA 2 Cell Biology, Faculty of Science, Utrecht University, Padualaan 8, Utrecht, The Netherlands
* Author to whom correspondence should be addressed.
Received: 23 May 2013 / Revised: 4 July 2013 / Accepted: 18 July 2013 / Published: 26 July 2013
(This article belongs to the Special Issue Advanced Signal Processing in Heliospheric Physics)
View Full-Text   |   Download PDF [11053 KB, uploaded 24 February 2015]   |   Browse Figures


We developed an automated pattern recognition code that is particularly well suited to extract one-dimensional curvilinear features from two-dimensional digital images. A former version of this Oriented Coronal Curved Loop Tracing (OCCULT) code was applied to spacecraft images of magnetic loops in the solar corona, recorded with the NASA spacecraft, Transition Region And Coronal Explorer (TRACE), in extreme ultra-violet wavelengths. Here, we apply an advanced version of this code (OCCULT-2), also, to similar images from the Solar Dynamics Observatory (SDO), to chromospheric H-α images obtained with the Swedish Solar Telescope (SST) and to microscopy images of microtubule filaments in live cells in biophysics. We provide a full analytical description of the code, optimize the control parameters and compare the automated tracing with visual/manual methods. The traced structures differ by up to 16 orders of magnitude in size, which demonstrates the universality of the tracing algorithm.
Keywords: solar physics; magnetic fields; biophysics; automated pattern recognition methods solar physics; magnetic fields; biophysics; automated pattern recognition methods
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Aschwanden, M.J.; De Pontieu, B.; Katrukha, E.A. Optimization of Curvilinear Tracing Applied to Solar Physics and Biophysics. Entropy 2013, 15, 3007-3030.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert