Unsupervised Bayesian learning for rice panicle segmentation with UAV images

Table 3 Comparing results of 6 m images

Image	Recall			Precision			\(F_1\) score
Image	Bayesian	P-SEG	k-means	Bayesian	P-SEG	k-means	Bayesian	P-SEG	k-means
7	0.9752	0.5583	0.8519	0.6856	0.3284	0.5209	0.8052	0.4136	0.6465
8	0.9166	0.5963	0.7234	0.8839	0.4066	0.5885	0.8999	0.4835	0.6490
9	0.9873	0.4124	0.8838	0.6242	0.2655	0.4612	0.7649	0.3231	0.6061
10	0.9699	0.5048	0.7387	0.6764	0.3505	0.5187	0.7970	0.4137	0.6094
11	0.9816	0.5506	0.7840	0.6456	0.3495	0.5363	0.7789	0.4276	0.6369
12	0.9669	0.4794	0.7797	0.6526	0.3621	0.4907	0.7793	0.4126	0.6023

ISSN: 1746-4811