Standardizing the protocol for hemispherical photographs: accuracy assessment of binarization algorithms.

ABSTRACT: Hemispherical photography is a well-established method to optically assess ecological parameters related to plant canopies; e.g. ground-level light regimes and the distribution of foliage within the crown space. Interpreting hemispherical photographs involves classifying pixels as either sky or vegetation. A wide range of automatic thresholding or binarization algorithms exists to classify the photographs. The variety in methodology hampers ability to compare results across studies. To identify an optimal threshold selection method, this study assessed the accuracy of seven binarization methods implemented in software currently available for the processing of hemispherical photographs. Therefore, binarizations obtained by the algorithms were compared to reference data generated through a m

SUBMITTER: Glatthorn J 

PROVIDER: S-EPMC4242535 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature