Table 2 Average mis-segmentation rates under different backgrounds.

From: Multi-component gradient enhancement for accurate frost detection and quantification on leaf surfaces

Methods

Rms (%) in different backgrounds

Total algorithmic error segmentation rate (%)

Blurred background

Soil background

Weeds background

Exg

8.63 ± 2.10

–

–

8.63 ± 1.95

OTSU

11.74 ± 3.21

–

6.21 ± 1.78

8.98 ± 2.45

Original HSV

9.82 ± 2.55

12.67 ± 4.10

13.45 ± 4.32

11.98 ± 3.67

MCGE-Frost

2.03 ± 0.45

3.71 ± 0.82

4.12 ± 0.91

3.29 ± 0.68

  1. Note: "–" indicates error rate SE ≥ 40%
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