Project Description
The SIPPER software package is an image classification system intended to identify plankton images
that were generated by the SIPPER device. These images are grayscale and can contain either 2 or 8 levels
of intensity, depending on the particular version of the SIPPER device that generated them.
The goal of this project is to provide marine scientists (and others) with the ability to rapidly
determine the plankton composition of a region of water. Normally this process would be a painstaking
and tedious task, but the SIPPER software makes use of active learning techniques to aide the
scientist in classifying thousands of plankton images in a relatively short period of time.
The SIPPER project is a collaboration of the University of South Florida's
Computer Science and Engineering and
Marine Science departments.
Papers
Journal Publications
- T. Luo, K. Kramer, D. Goldgof, L. Hall, S. Samson, A. Remsen, T. Hopkins, "Active Learning to Recognize Multiple Types of Plankton", Journal of Machine Learning Research, (to appear).
- T. Luo, K. Kramer, D. Goldgof, L. Hall, S. Samson, A. Remsen, T. Hopkins, "Recognizing Plankton Images from the Shadow Image Particle Profiling Evaluation Recorder", IEEE Transactions in System Man and Cybernetics, B, 34(4), pp. 1753-1762, 2004. (preprint PDF).
- A. Remsen, S. Samson, T. Hopkins, "What you see is not what you catch: A comparison of concurrently collected net, optical plankton counter (OPC), and Shadowed Image Particle Profiling Evaluation Recorder (SIPPER) data from the northeast Gulf of Mexico" Deep Sea Research, I, 51(1), pp. 129-151, 2004.
- S. Samson, T. Hopkins, A. Remsen, L. Langebrake, T. Sutton, J. Patten, "A system for high resolution zooplankton imaging" IEEE Journal of Oceanic Engineering 26(4), pp. 671-676, 2001.
Conference Publications
- T. Lou, K. Kramer, D. Goldgof, L. Hall, S. Sampson, A. Remsen, T. Hopkins, "Active Learning to Recognize Multiple Types of Plankton", International Conference on Pattern Recognition (ICPR), Cambridge, UK, August 2004. (preprint PDF)
- T. Lou, K. Kramer, D. Goldgof, L. Hall, S. Sampson, A. Remsen, T. Hopkins, "Learning to Recognize Plankton", IEEE International Conference on Systems, Man, and Cybernetics, Washington, D.C., pp. 888-893, October 2003
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