Biologically-inspired identification of plankton based on hierarchical shape semantics modeling

2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

Volumn , Issue , 2008, Pages 2000-2003

  Zhou, Hui ^a   Wang, Cheng ^a   Wang, Runsheng ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

High level shape semantics models; Plankton identification; Support vector machine

Indexed keywords

AUTOMATION; BIOCOMMUNICATIONS; BIOINFORMATICS; BIOMEDICAL ENGINEERING; CLASSIFICATION (OF INFORMATION); ELECTRONIC DATA INTERCHANGE; IMAGE ENHANCEMENT; INFORMATION SCIENCE; INFORMATION THEORY;

HIGH-LEVEL SHAPE SEMANTICS MODELS; INTERNATIONAL CONFERENCES; PLANKTON IDENTIFICATION; SHAPE SEMANTICS; SUPPORT VECTOR MACHINE;

OCEAN HABITATS;

EID: 50949104260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBBE.2008.829     Document Type: Conference Paper

References (12)

1. S. Samson, T. Hopkins, A. Remsen, L. Langebrake, T. Sutton, and J. Patten "A system for high-resolution zooplankton imaging," IEEE J. Ocean. Eng., 2001. 26(4): pp. 671-676.
2. C. Sieracki, M. Sieracki, and C. Yentsch, "An imaging-in-flow system for automated analysis of marine microplankton," Mar. Ecol. Progr. Ser., 1998. 168: pp. 285-296.
3. H. Jeffries, M. Berman, A. Poularikas, C. Katsinis, I. Melas, K. Sherman, and L. Bivins, "Automated sizing, counting and identification of zooplankton by pattern recognition," Mar. Biol., 1984. 78: pp. 29-334.
4. X. Tang, L. Feng, S. Samson, and A. Remsen, "Binary Plankton Image Classification," IEEE Journal of Ocean. Eng., 2006. 31(3): pp. 728-735.
5. M.B. Blaschko, G. Holness, M.A. Mattar, Dimitri Lisin, P. E. Utgoff, A. R. Hanson, H. Schultz, E. M. Riseman, M. E. Sieracki, W. M. Balch, and B. Tupper, "Automatic In Situ Identification of Plankton," Proceedings of the 7th IEEE Workshops on WACV/MOTIONS, 2005.
6. D.A. Lisin, M.A. Mattar, M.B. Blaschko, M. C. Benfield, and E. G. Learned-Miller, "Combining Local and Global Image Features for Object Class Recognition," Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005.
7. T. Luo, K. Kramer, D.B. Goldgof, L. O. Hall, S. Samson, A. Remsen, and Thomas Hopkins, "Active learning to recognize multiple types of plankton," Journal of Mach. Learn. Res., 2005. 6: pp. 589-613.
8. Y. Xu and Y.-J. Zhang, "Feature Element Theory for Image Recognition and Retrieval," Proceedings of SPIE vol. 4676 2002. pp. 126-137.
9. I. L. Dryden and K. V. Mardia. Statistical Shape Analysis, John Wiley & Sons, 1998.
10. M. B. Stegmann and D. D. Gomez, "A Brief Introduction to Statistical Shape Analysis," Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 (available at: http://www.imm.dtu.dk/~mbs/).
11. G. McNeill, S. Vijayakumar, "2D Shape Classification and Retrieval," Proceedings of the 9th International Joint Conference on Artificial Intelligence, 2005.
12. C.C. Chang and C.J. Lin, LIBSVM: A Library for Support Vector Machines, 2001. Software package available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.