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Fig. 7 | Plant Methods

Fig. 7

From: High-throughput method for detection and quantification of lesions on leaf scale based on trypan blue staining and digital image analysis

Fig. 7

Examples of object mis-segmentation (red squares) after processing using the LiMu program. Common types of mis-segmentation: a Failure to segment leaf area, b failure to detect lesions (false negative lesions), c recognition of undamaged plant tissue as lesion (false positive lesions), d recognition of two or more neighbouring lesions as one larger lesion (under-segmenting), and e recognition of one lesion as two or more lesions (over-segmenting)

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