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Entropy 2013, 15(8), 3007-3030; doi:10.3390/e15083007
Article

Optimization of Curvilinear Tracing Applied to Solar Physics and Biophysics

1,* , 1
 and
2
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)
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Abstract

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 which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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

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