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Contrast matching in a sequence of images by histogram normalization
Author(s) -
Breen Edmond J.,
Williams Keith L.
Publication year - 1990
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.1365-2818.1990.tb04779.x
Subject(s) - artificial intelligence , computer vision , contrast (vision) , histogram matching , normalization (sociology) , image contrast , histogram , adaptive histogram equalization , image histogram , computer science , matching (statistics) , sequence (biology) , pattern recognition (psychology) , digital image , image (mathematics) , mathematics , histogram equalization , image processing , image texture , chemistry , statistics , biochemistry , anthropology , sociology
SUMMARY Variations in contrast between digital light microscopy images of a video sequence can be filtered out by matching the contrast of each individual image in the sequence to a reference image using the principle of histogram matching. This ensures the reliability of grey‐scale threshold values in each frame within an image sequence. Here we describe examples of digital image‐to‐image contrast matching as applied to video light microscopy.