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Table 2 Monitoring of various image segmentation methods handling of ambient illumination changes within a single day

From: Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping

Time point

Par test

ExG

ExGR

CIVE

ACE

K-means

MFL

10:16 AM

999

0.105

0.328

0.100

0.333

0.351

0.279

12:44 PM

1352

0.128

0.313

0.126

0.311

0.363

0.258

3:36 PM

1004

0.146

0.322

0.170

0.457

0.330

0.258

5:03 PM

139

0.317

0.320

0.335

0.350

0.332

0.273

Avg

 

0.174

0.321

0.183

0.363

0.344

0.267

SD

 

0.097

0.006

0.105

0.065

0.016

0.011

CV(%)

 

56%

2%

58%

18%

5%

4%