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Automated Coronal Loop Segmentation Using Snake-Based Algorithm

Tang, Woon Khang
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1277139373

Abstract Details

2010, Master of Science (MS), Bowling Green State University, Computer Science.
In this thesis, an automated technique, G-snake, for segmenting the coronal loops from intensity images of the Sun's corona is studied. G-snake involves use of the active contour model (snake) based on the Gaussian-like coronal loop cross-sectional intensity profiles. It also utilizes the principal component analysis in the snake process. We study the effectiveness of G-snake using synthetic datasets as well as real coronal images.
Dr. Jong Kwan Lee (Committee Chair)
Dr. Ray Kresman (Committee Member)
Dr. Hassan Rajaei (Committee Member)
65 p.
Computer Science
G-snake; loop structures; CORONAL LOOP SEGMENTATION; point of the snake

Recommended Citations

Citations

  • Tang, W. K. (2010). Automated Coronal Loop Segmentation Using Snake-Based Algorithm [Master's thesis, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1277139373

    APA Style (7th edition)

  • Tang, Woon Khang. Automated Coronal Loop Segmentation Using Snake-Based Algorithm. 2010. Bowling Green State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1277139373.

    MLA Style (8th edition)

  • Tang, Woon Khang. "Automated Coronal Loop Segmentation Using Snake-Based Algorithm." Master's thesis, Bowling Green State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1277139373

    Chicago Manual of Style (17th edition)

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This open access ETD is published by Bowling Green State University and OhioLINK.