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Figure 5 | BMC Bioinformatics

Figure 5

From: Computable visually observed phenotype ontological framework for plants

Figure 5

Sample of an imagery and algorithms ontology. The ontology covers imagery and algorithms through the steps in computational processing including preprocessing, feature extraction (phenotype measurement), and postprocessing (normalization). The imagery portion (left, in green) categorizes imagery transformations during the preprocessing stage. This includes image standardization, segmentation, and grouping. The algorithm portion (middle, in blue) covers the algorithms involved in feature extraction. Each of these algorithms produces vectors, or measurements, as output. The algorithms are categorized by the number of input images and by the trait being measured. Finally, the vector portion (right, in orange) of the ontology handles postprocessing of the measurement vectors.

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