Automatic segmentation of overlapping fish using shape priors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4522 LNCS, Issue , 2007, Pages 11-20

  Clausen, Sigmund ^a   Greiner, Katharina ^b   Andersen, Odd ^a   Lie, Knut Andreas ^a   Schulerud, Helene ^a   Kavli, Tom ^a  

^a SINTEF ICT   (Norway)

^b RHEINMAIN UNIVERSITY OF APPLIED SCIENCES   (Germany)

Author keywords

Mumford Shah; Overlapping objects; Segmentation; Shape priors

Indexed keywords

AUTOMATIC PROGRAMMING; GRADIENT METHODS; OBJECT RECOGNITION; PROBABILITY DISTRIBUTIONS; SHAPE OPTIMIZATION;

AUTOMATIC SEGMENTATION; OVERLAPPING OBJECTS; SHAPE PRIORS; SILHOUETTE-LIKE IMAGES;

IMAGE SEGMENTATION;

EID: 38049046715     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73040-8_2     Document Type: Conference Paper

References (5)

1. The AKVA group has developed Vicass - a stereo-based imaging system for size and weight estimation currently used in more than 100 fish farms and distributed and sold in more than eight countries world wide. For more information about an existing stereo system, see: www.akvasmart.com
2. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. Int. J. of Comp. Vis. 1(4), 321-331 (1988)
3. Mumford, D., Shah, J.: Optimal Approximations by piecewise smooth functions and associated variational problems. Comm. Pure Appl. Math. 42, 577-685 (1989)
4. Cremers, D., Tischhäuser, F., Weickert, J., Schnörr, C.: Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah functional. Int. J. of Comp. Vis. 50(3), 295-313 (2002)
5. Cremers, D.: Statistical Shape Knowledge in Variational Image Segmentation PhD thesis. University of Mannheim (2002)