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Bone marrow cell scene segmentation by computer-aided color cytophotometry.
Author(s) -
H. M. Aus,
A Rüter,
Volker ter Meulen,
U. Gunzer,
R Nürnberger
Publication year - 1977
Publication title -
journal of histochemistry and cytochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.971
H-Index - 124
eISSN - 1551-5044
pISSN - 0022-1554
DOI - 10.1177/25.7.330719
Subject(s) - segmentation , artificial intelligence , computer vision , chromatic scale , computer science , histogram , pattern recognition (psychology) , image (mathematics) , optics , physics
Computer scene segmentation of touching cell images in bone marrow, on the basis of color information, is achieved using digitized scans at three different wavelengths of light. With trivariate histograms and Euler's coordinate transformation, it is possible cytophotometrically to isolate, on the basis of chromatic differences, individual heterogeneous cells located in cell groups. The ability of the described computer methods to isolate correctly the touching cell images is determined by visual comparison of the cells as seen in the microscope and the computer-generated displays of the scanned and segmented scenes.

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