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Misestimation of gap fraction values by binarization algorithms.

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posted on 24.11.2014, 02:45 authored by Jonas Glatthorn, Philip Beckschäfer

For each algorithm, misestimation was quantified per photograph by dividing the estimated gap fraction of the algorithm () by the gap fraction estimated from manually classified reference pixels (). Misestimations are displayed for histogram- and auto-exposed photographs. The horizontal line indicates the best possible classification.