caa a22 4500 44534640X CHVBK 20180317142830.0 cr unu---uuuuu 170323e20110801xx s 000 0 eng 10.1007/s11207-011-9798-2 doi (NATIONALLICENCE)springer-10.1007/s11207-011-9798-2 Automatic Solar Filament Segmentation and Characterization [Elektronische Daten] [Y. Yuan, F. Shih, J. Jing, H. Wang, J. Chae] This paper presents a generic method to automatically segment and characterize solar filaments from various Hα full-disk solar images, obtained by different solar observatories, with different dynamic ranges and statistical properties. First, a cascading Hough circle detector is designed to find the center location and radius of the solar disks. Second, polynomial surface fitting is adopted to correct unbalanced luminance. Third, an adaptive thresholding method is put forward to segment solar filaments. Finally, for each piece of a solar filament, its centroid location, area, and length are characterized, in which morphological thinning and graph theory are used for identifying the main skeletons of filaments. To test the performance of the proposed methods, a dataset composed of 125Hα images is considered. These images were obtained by four solar observatories from January 2000 to May 2010, one image per month. Experimental results show that the accuracy rate is above 95% as measured by filament number and above 99% as measured by filament area, indicating that only a few tiny filaments are not detected. Springer Science+Business Media B.V., 2011 Yuan Y. Computer Vision Lab, New Jersey Institute of Technology, 07102, Newark, NJ, USA aut Shih F. Computer Vision Lab, New Jersey Institute of Technology, 07102, Newark, NJ, USA aut Jing J. Space Weather Research Lab, New Jersey Institute of Technology, 07102, Newark, NJ, USA aut Wang H. Space Weather Research Lab, New Jersey Institute of Technology, 07102, Newark, NJ, USA aut Chae J. Department of Physics and Astronomy, Seoul National University, 151-741, Seoul, Republic of Korea aut Solar Physics Springer Netherlands 272/1(2011-08-01), 101-117 0038-0938 272:1<101 2011 272 11207 https://doi.org/10.1007/s11207-011-9798-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11207-011-9798-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yuan Y. Computer Vision Lab, New Jersey Institute of Technology, 07102, Newark, NJ, USA aut NATIONALLICENCE 700 1- Shih F. Computer Vision Lab, New Jersey Institute of Technology, 07102, Newark, NJ, USA aut NATIONALLICENCE 700 1- Jing J. Space Weather Research Lab, New Jersey Institute of Technology, 07102, Newark, NJ, USA aut NATIONALLICENCE 700 1- Wang H. Space Weather Research Lab, New Jersey Institute of Technology, 07102, Newark, NJ, USA aut NATIONALLICENCE 700 1- Chae J. Department of Physics and Astronomy, Seoul National University, 151-741, Seoul, Republic of Korea aut NATIONALLICENCE 773 0- Solar Physics Springer Netherlands 272/1(2011-08-01), 101-117 0038-0938 272:1<101 2011 272 11207 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer