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  Edge segmentation by Alternating Vector Field Convolution Snakes

Rogaß, C., Itzerott, S., Schneider, B. U., Kaufmann, H., Hüttl, R. F. J. (2009): Edge segmentation by Alternating Vector Field Convolution Snakes. - International Journal of Computer Science and Network Security: IJCSNS, 9, 8, 123-131.

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 Creators:
Rogaß, Christian1, Author              
Itzerott, Sibylle1, Author              
Schneider, Bernd Uwe2, Author              
Kaufmann, Hermann1, Author              
Hüttl, Reinhard F. J.2, Author              
Affiliations:
11.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              
2Staff Scientific Executive Board, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146063              

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Free keywords: Active contour, Snake, External force, Yukawa, Alternating vector field convolution
 DDC: 550 - Earth sciences
 Abstract: Active contours or snakes represent widely used methods in edge segmentation. Different, closed snake approaches have been proposed in the past but commonly lack of adequate capture ability and quality, noise robustness and convergence speed. In this paper a new closed approach namely “Alternating Vector Field Convolution (AVFC)” as well as a new force called “Yukawa Alternating Vector Field Convolution (YAVFC)” are proposed which minimize specific snake problems and enhance convergence speed. The comparison of both Gradient Vector Flow and Vector Field Convolution snakes with AVFC and YAVFC snakes determines the advantages of the new closed approaches.

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 Dates: 2009
 Publication Status: Finally published
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 Identifiers: eDoc: 13623
GFZPOF: PT1 Planet Earth: Global Processes and Change
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Title: International Journal of Computer Science and Network Security : IJCSNS
Source Genre: Journal, other
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Pages: - Volume / Issue: 9 (8) Sequence Number: - Start / End Page: 123 - 131 Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals2_234