R Gary Sibbald, Nancy Dalgarno, Amber Hastings-Truelove, Eleftherios Soleas, Reneeka Jaimangal, James Elliott, Angela M Coderre-Ball, Shannon Hill, Richard van Wylick, Karen Smith
COVID-19 Pivoted Virtual Skills Teaching Model: Project ECHO Ontario Skin and Wound Care Boot Camp
Advances in skin & wound care
image category recognition important access visual information level objects scene types far intensitybased descriptors widely used feature extraction salient points increase illumination invariance discriminative power color descriptors proposed many different descriptors exist structured overview required color invariant descriptors context image category recognition therefore paper studies invariance properties distinctiveness color descriptors software compute color descriptors paper available httpwwwcolordescriptorscom structured way analytical invariance properties color descriptors explored using taxonomy based invariance properties respect photometric transformations tested experimentally using data set known illumination conditions addition distinctiveness color descriptors assessed experimentally using two benchmarks one image domain one video domain theoretical experimental results derived invariance light intensity changes light color changes affects category recognition results reveal light intensity shifts usefulness invariance categoryspecific overall choosing single descriptor prior knowledge data set object scene categories available opponentsift recommended furthermore combined set color descriptors outperforms intensitybased sift improves category recognition 8 percent pascal voc 2007 7 percent mediamill challenge