Abstract
Segmentation, construction and recognition of an image are done simultaneously by sequences of parallel neighborhood-transformations. Feature extraction is particularly easy when the transformations are idempotent. Examples are given. The development of a language and of an apparatus specially devoted to automated cytology are discussed.
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© 1982 Springer-Verlag Berlin Heidelberg
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Meyer, F. (1982). Feature Extraction by Mathematical Morphology in the Field of Quantitative Cytology. In: Sklansky, J., Bisconte, JC. (eds) Biomedical Images and Computers. Lecture Notes in Medical Informatics, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93218-2_5
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DOI: https://doi.org/10.1007/978-3-642-93218-2_5
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