Automated image analysis- and soft computing-based detection of the invasive dinoflagellate Prorocentrum minimum (Pavillard) Schiller

Author:

Verikas A.,Gelzinis A.,Bacauskiene M.,Olenina I.,Olenin S.,Vaiciukynas E.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference23 articles.

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4. Blaschko, M. B., Holness, G., Mattar, M. A., Lisin, D., Utgoff, P. E., Hanson, A.R., Schultz, H., Riseman, E. M., Sieracki, M. E., Balch, W. M., & Tupper, B. (2005). Automatic in situ identification of plankton. In: Seventh IEEE workshop on applications of computer vision (WACV 2005) (pp. 79–86) USA: Breckenridge, CO.

5. Cuiping, S., Chenhui, Y., Huizhen, L., & Lin, K. (2010). A system for identification of marine phytoplankton. In: Signal processing systems (ICSPS), 2010 second international conference on IEEE, Vol. 3, (pp. 426–430).

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