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Can image analysis provide information useful in chemistry?
Author(s) -
Geladi Paul,
Esbensen Kim
Publication year - 1989
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1180030209
Subject(s) - computer science , image (mathematics) , chemical imaging , data extraction , chemometrics , extraction (chemistry) , data mining , data science , chemistry , artificial intelligence , biochemical engineering , machine learning , chromatography , hyperspectral imaging , medline , biochemistry , engineering
Abstract Images can contain chemical information and many chemical methods can generate image data. For an efficient extraction of chemical data from images, data analysis techniques are necessary. It is a great advantage to be able to work on multivariate images. Many imaging techniques allow the extraction of chemical information. Inorganic analytical chemistry seems to have the longest tradition here, but organic chemistry and biochemistry may soon be catching up. Also large data arrays from non‐imaging techniques can be combined with image analysis in a useful way, provided certain conditions are fulfilled.