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Optimal corrections for digitization and quantification effects in angle measure technique (AMT) texture analysis
Author(s) -
Kucheryavski Sergei V.,
Kvaal Knut,
Halstensen Maths,
Mortensen Peter Paasch,
Dahl Casper K.,
Minkkinen Pentti,
Esbensen Kim H.
Publication year - 2008
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.1118
Subject(s) - digitization , bilinear interpolation , measure (data warehouse) , resampling , interpolation (computer graphics) , computer science , texture (cosmology) , scale (ratio) , metering mode , function (biology) , artificial intelligence , pattern recognition (psychology) , mathematics , algorithm , image (mathematics) , computer vision , data mining , optics , physics , quantum mechanics , evolutionary biology , biology
The effects of digitization and quantification in one‐ and two‐dimensional signals on angle measure technique (AMT) texture analysis are described in order to find optimal corrections. AMT analysis with varying parameters has been carried out on simulated and real images as well on time‐series data. All images and signals are of high resolution in order to study these effects with particularly attention to the low(est), local scales. Quantification effects are studied by multiplying original images or signals by varying scale factor values, K with posterior round‐up, while digitization effects were realized by applying various resampling schemes for images and signals using bilinear interpolation. Results lead to general conclusions regarding possible operational regimes for correction of these adverse effects as a function of optimal scale‐ and sampling‐factors during AMT pre‐processing. Copyright © 2008 John Wiley & Sons, Ltd.