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Digital Picture Analysis In Microphotometry Of Biological Materials
Author(s) -
Zimmer HansGeorg
Publication year - 1979
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/j.1365-2818.1979.tb00221.x
Subject(s) - minicomputer , computer science , reproducibility , photometer , feature (linguistics) , emphasis (telecommunications) , noise (video) , artificial intelligence , pattern recognition (psychology) , signal (programming language) , reduction (mathematics) , feature extraction , noise reduction , computer vision , image (mathematics) , optics , mathematics , physics , statistics , linguistics , geometry , telecommunications , philosophy , programming language , operating system
SUMMARY Automatic evaluation of two‐dimensional thin‐layer‐chromatograms exemplarily demonstrates the applicability of signal processing, image analysis, and pattern recognition to microphotometry by an enlarged dynamic range of the photometer, improved reproducibility by noise reduction, discrimination between objects and background, feature extraction and automatic classification of the results. Emphasis is put on simple procedures which are tested in routine work and can be implemented on minicomputers.