Abstract
A new strategy for image segmentation of different biological tissue sections is presented. Color differences, geometric operations and an object model are the major components of the segmentation process. In a light microscope the depth of focus is so small that only a part of a 1.5–10 micron thick section is visible; more than one measurement is necessary for image acquisition, segmentation and analysis of the whole section. The image segmentation process is generally the same for different biological tissue sections, regardless of how they have been prepared and stained. Only some factors depend on the optical magnification and the biological material. The basic underlying idea of this segmentation has been developed and tested on more than 20,000 stained white blood cells.
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References
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© 1987 Springer-verlag Berlin Heidelberg
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Harms, H., Aus, HM. (1987). Tissue Image Segmentation with Multicolor, Multifocal Algorithms. In: Devijver, P.A., Kittler, J. (eds) Pattern Recognition Theory and Applications. NATO ASI Series, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83069-3_42
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DOI: https://doi.org/10.1007/978-3-642-83069-3_42
Publisher Name: Springer, Berlin, Heidelberg
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