Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
  Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben
Zeitschriftenartikel

Edge segmentation by Alternating Vector Field Convolution Snakes

Urheber*innen
/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;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (frei zugänglich)

13623.pdf
(beliebiger Volltext), 912KB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

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.


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_239250
Zusammenfassung
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.