Analysis of Microscopic Mast Cell Images Based on Network of Synchronised Oscillators

Authors:
Michal Strzelecki;Hyongsuk Kim;Pawel Liberski;Anna Zalewska
Affiliations:
Institute of Electronics, Technical University of Lodz, Wolczanska 211/215, 90-924 Lodz, Poland and Division of Electronics and Information Engineering, Chonbuk National University, 561-756 Jeonju ...;Division of Electronics and Information Engineering, Chonbuk National University, 561-756 Jeonju, Korea;Molecular Biology Department, Medical University of Lodz, Czechoslowacka 8/10, 92-216 Lodz, Poland;Department of Dermatology, Medical University of Lodz, Krzemieniecka 5, 94-014 Lodz, Poland
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

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Abstract

This paper describes automatic analysis of microscopic mast cell images using network of synchronized oscillators. This network allows for detection of image objects and their boundaries along with evaluation of some geometrical object parameters, like their area and perimeter. Estimation of such mast cells' parameters is very important in description of both physiological and pathological processes in the human organism. It was also demonstrated, that oscillator networks is able to perform basic morphological operations along with binary image segmentation. Analysis of sample mast cell image was presented and discussed.