Network snakes for the segmentation of adjacent cells in confocal images

Informatik aktuell

Volumn , Issue , 2007, Pages 247-251

  Butenuth, Matthias ^a   Jetzek, Fritz ^b  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

^b Evotec Technologies GmbH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE CONTOUR MODEL; BIOLOGICAL CELLS; CONVENTIONAL ALGORITHMS; GOLD STANDARDS; SEGMENTATION METHODS; SEGMENTATION QUALITY; SEGMENTATION TECHNIQUES; STATE OF THE ART;

IMAGE SEGMENTATION;

EID: 84865353049     PISSN: 1431472X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-71091-2_50     Document Type: Conference Paper

References (6)

1. Butenuth M. Segmentation of Imagery Using Network Snakes. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 2006; 36(3): 1-6.
2. Pratt WK. Digital Image Processing. Wiley-Interscience, New York; 1978.
3. Roerdink JBTM, Meijster A. The watershed transform: Definitions, algorithms and parallelization strategies. Fundamenta Informaticae 2001; 41: 187-228.
4. Jetzek F, Rahn CD, Dreschler-Fischer L. Ein geometrisches Modell für die Zellsegmentierung. Procs BVM 2006; 121-125.
5. Kass M, Witkin A, Terzopoulos D. Snakes: Active contour models. Int J Comp Vis 1988; 1(4): 321-331.
6. Wählby C, Lindblad J, Vondrus M, Bengtsson E, Björkesten L. Algorithms for cytoplasm segmentation of fluorescence labelled cells. Analytical Cellular Pathology 2002; 24(2-3): 101-111.