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Journal Article

Edge segmentation by Alternating Vector Field Convolution Snakes

Authors
/persons/resource/rogass

Rogaß,  Christian
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/itzerott

Itzerott,  Sibylle
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/schneider

Schneider,  Bernd Uwe
Staff Scientific Executive Board, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/charly

Kaufmann,  Hermann
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/huettl

Hüttl,  Reinhard F. J.
Staff Scientific Executive Board, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Fulltext (public)

13623.pdf
(Any fulltext), 912KB

Supplementary Material (public)
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Citation

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.


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_239250
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.