Title: Snake-based Technique for Automated Coronal Loop Segmentation
Authors: Lee, Jong Kwan
Tang, Woon Khang
Citation: WSCG 2011: Full Papers Proceedings: The 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in cooperation with EUROGRAPHICS Association, p. 33-40.
Issue Date: 2011
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2011/!_2011_WSCG_Full_papers.pdf
ISBN: 978-80-86943-83-1
Keywords: aktivní kontury;automatická segmentace znaků;zpracování obrazů
Keywords in different language: active contours;automated feature segmentation;image processing
Abstract: A new approach to automatically segment the solar coronal loop structures from intensity images of the Sun’s corona is described. The approach is based on the active contour models (snakes) and exploits the Gaussian-like shape of the coronal loop cross-sectional intensity profile to refine the snake’s position. The approach utilizes the principal component analysis to automatically initialize the snake’s position. It then uses a greedy minimization method to attract the snake toward the center of coronal loop structures in each image. Its effectiveness is evaluated through experiments on synthetic and real images.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2011: Full Papers Proceedings

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