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Automatic intensity windowing of mammographic images based on a perceptual metric
Author(s) -
Albiol Alberto,
Corbi Alberto,
Albiol Francisco
Publication year - 2017
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1002/mp.12144
Subject(s) - computer science , artificial intelligence , zoom , image quality , computer vision , metric (unit) , contrast (vision) , pattern recognition (psychology) , image (mathematics) , engineering , economics , operations management , petroleum engineering , lens (geology)
Initial auto-adjustment of the window level WL and width WW applied to mammographic images. The proposed intensity windowing (IW) method is based on the maximization of the mutual information (MI) between a perceptual decomposition of the original 12-bit sources and their screen displayed 8-bit version. Besides zoom, color inversion and panning operations, IW is the most commonly performed task in daily screening and has a direct impact on diagnosis and the time involved in the process.