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Table 2 Comparing results of 3 m images

From: Unsupervised Bayesian learning for rice panicle segmentation with UAV images

Image

Recall

Precision

\(F_1\) score

Bayesian

P-SEG

k-means

Bayesian

P-SEG

k-means

Bayesian

P-SEG

k-means

1

0.9735

0.6811

0.8701

0.5925

0.6718

0.2896

0.7367

0.6764

0.4346

2

0.9847

0.7140

0.8341

0.6427

0.6060

0.4341

0.7778

0.6556

0.5710

3

0.9788

0.8580

0.7151

0.8382

0.7314

0.5752

0.9030

0.7897

0.6375

4

0.9915

0.7761

0.8508

0.6929

0.7849

0.3930

0.8158

0.7805

0.5377

5

0.9546

0.7374

0.6188

0.8348

0.7946

0.6544

0.8907

0.7649

0.6361

6

0.8977

0.7621

0.7037

0.9079

0.8123

0.5775

0.9028

0.7864

0.6344