Calculation of statistical parameters in recognition of pollen grains, obtained by the scanning electron microscope

Kamalova Y.B.


Informative parameters of pollen grains, which are necessary for recognition, are considered in the article. Algorithm of pollen grains recognition, obtained by the scanning electron microscope, and results of the work of computer program for automatically pollen grains and informative parameters of different types griping are presented.


pollen grains recognition; pollen grains informative parameters; algorithm of pollen grains recognition

References References

Burges, Ch. J. C. A Tutorial on Support Vector Machines for Pattern Recognition. - URL: http://research.; http://www.cs.columbia. edu/~cleslie/cs4761/Burges98.pdf (дата обращения: 08.05.2014).

Ronneberger, O., Schultz, E., Burkhardt, H. Automated Pollen Recognition using 3D Volume Images from Fluorescence Microscopy. - URL: papers/lmb/ro_schu_bu_aero02.pdf;; 2FA% 3A1020623724584#page-1 (дата обращения: 08.05.2014).

Ломаев Г. В., Камалова Ю. Б., Бекмачев Д. А. Подготовка пыльцевых зерен для анализа с использованием РЭМ // Пчеловодство. - 2012. - № 9. - С. 50-52.

Otsu, N. A Threshold Selection Method from Gray-Level Histograms. - URL: stamp/stamp.jsp?arnumber=04310076 (дата обращения: 08.05.2014).

Boomgaard, R. van den, Balen, R. van. Methods for Fast Morphological Image Transforms Using Bitmapped Binary Images // CVGIP: Graphical Models and Image Processing. - May 1992. - Vol. 54. - Iss. 3. - Pp. 252-258.

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Copyright (c) 2014 Юлия Борисовна Камалова

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ISSN 1813-7911