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The Enhanced Digital Image Correlation Technique for Feature Tracking During Drying of Wood
Author(s) -
Kwon O.,
Hanna R.
Publication year - 2010
Publication title -
strain
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.477
H-Index - 47
eISSN - 1475-1305
pISSN - 0039-2103
DOI - 10.1111/j.1475-1305.2008.00455.x
Subject(s) - digital image correlation , artificial intelligence , computer vision , feature (linguistics) , invariant (physics) , image (mathematics) , digital image , pattern recognition (psychology) , correlation , tracking (education) , materials science , mathematics , computer science , image processing , composite material , geometry , psychology , pedagogy , linguistics , philosophy , mathematical physics
The enhanced digital image correlation (EDIC) technique is proposed as an improvement of the digital image correlation (DIC) technique in that it utilises monogenic filtering as a prefilter for extracting intrinsic local phase information from the low‐contrast images and normalized cross‐correlation (NCC) as a feature‐tracking algorithm. The monogenic filtering separates local structural information that is the local phase of an image, which is invariant with respect to the local energy of the image. Therefore, it improves the image, permitting the DIC technique to produce stable and accurate measurements of deformation for a heterogeneous and hygroscopic material like wood during drying.