Abstract
A computerized system was developed to automate the analysis of zooplankton samples. Classification to major taxonomic group was based on discriminant analysis of morphological features. Images were generated either from preserved organisms or from silhouette photographs. The latter technique simplified large-scale sample storage. Accuracy of correct classification, among organisms regularly occurring in New England coastal waters, exceeded 90%. Critical problems were due to limitations inherent to the imaging of low contrast, randomly oriented objects by a vidicon camera. One solution would utilize an incoherent-to-coherent transducer in a binocular field of observation through which plankton entrained in a flowing medium passed.
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Andrews, H. D.: Computer technique in image processing, 187pp. New York: Academic Press 1970
Barr, J. A., J. H. Goodnight, J. P. Sall, W. H. Blair and D. M. Chilko: SAS users' guide, 1976 Edition, 329 pp. SAS Institute, Inc., P. O. Box 10066, Raleigh, N.C. 1976
Beers, J. R.: Particle discriminators in studies for zooplankton biomass, pp 35–86. In: Zooplankton fixation and preservation. Ed. by H. F. Steedman. Paris: UNESCO Press 1976
Cosgriff, R. L.: Identification of shapes, Colombus: Ohio State University Res. Foundation, Rep. 820-11, ASTIA AD 254, 729 pp. 1960
Dixon, W. J., M. B. Brown, K. Engelman, J. W. Frane and R. I. Jennrich: BMDP-77 Biomedical Computer Programs P-series, 880 pp. Berkeley, CA: University of California Press
Duda, R. D. and P. E. Hart: Pattern classification and scene analysis, 402 pp. New York: Wiley 1973
Fawell, J. K.: Electronic measuring devices in the sorting of marine zooplankton, pp 201–206 In: Zooplankton fixation and preservation. Ed. by H. F. Steedman, Paris: UNESCO Press 1976
Herman, A. W. and T. M. Dauphinee: Continuous and rapid profiling of zooplankton with an electronic counter mounted on a “Batfish” vehicle. Deep-Sea Res. 27, 79–96 (1980)
Herman, A. W. and M. R. Mitchell: Counting and identifying copepod species with an in situ electronic plankton counter. Deep-Sea Res. 28 A, 739–755 (1981)
Hu, M. K.: Pattern recognition by moment invariants, Proc. IRE, pp 1428–1429 1961
Hu, M. K.: Pattern recognition by moment invariants, IRE Transaction Inf. Theory, IT-8, pp. 179–187, 1962
Jeffries, H. P., K. Sherman, R. Maurer and C. Katsinis: Computer processing of zooplankton samples, pp 303–316. In: Estuarine perspectives, Ed. by V. Kennedy, New York: Academic Press 1980
Katsinis, C.: Digital image processing and identification of zooplankton, MS thesis, University of Rhode Island, Kingston, 108 pp. 1979
Katsinis, C.: Study of a multicomputer system with applications to pattern recognition. Ph.D. dissertation, University of Rhode Island, Kingston, 285 pp. 1982
Maitra, S.: Moment invariants, IEEE Proc., pp 697–699, 1979
Mucciardi, A. and E. Gose: A comparison of seven techniques for choosing subsets of pattern recognition properties, pp 115, IEEE Trans on Comp. 1971
Pavlidis, T.: Structural pattern recognition. Berlin: Springer-Verlag, 1977
Persoon, E. and K. J. Fu: Shape discrimination using Fourier descriptors, pp 170–177. IEEE Trans. Systems, Man, and Cybern, SMC-7, 1977
Pratt, W. K.: Digital image processing 750 pp. New York: Wiley-Interscience, 1978
Richard, C. W. and H. Hermani: Identification of three-dimensional objects using Fourier descriptors of the boundary curve, pp 371–378. IEEE Trans. Systems, Man and Cybern, SMC-4, 1974
Sheldon, R. W. and T. R. Parsons: A practical manual on the use of the Coulter Counter in marine science, Coulter Electronics, 66 pp. 1967
Tou, J. and T. Conzales: Pattern recognition principles, 362 pp. Reading, Ma.: Addison-Wesley, 1974
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Communicated by S. K. Pierce, College Park
This work was supported in part by NOAA grant NA80AA-4 00023
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Jeffries, H.P., Berman, M.S., Poularikas, A.D. et al. Automated sizing, counting and identification of zooplankton by pattern recognition. Marine Biology 78, 329–334 (1984). https://doi.org/10.1007/BF00393019
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DOI: https://doi.org/10.1007/BF00393019