Research Article

Improved Unsupervised Color Segmentation Using a Modified Color Model and a Bagging Procedure in -Means++ Algorithm

Table 1

Segmentation performance results for image “a” using -means++.

-MeansCluster 1Cluster 2Cluster 3Cluster 4Metrics

Ground truth

Best BAcc.: 0.85028
Mean BAcc: 0.74197
Mean sen.: 0.62917
Mean spe.: 0.81776
Avg. time: 3.8598

nBest BAcc.: 0.93637
Mean BAcc: 0.82969
Mean sen.: 0.53766
Mean spe.: 0.88299
Avg. time: 1.5083

Best BAcc.: 0.86040
Mean BAcc: 0.7717
Mean sen.: 0.58555
Mean spe.: 0.85133
Avg. time: 3.5174

Best BAcc.: 0.95228
Mean BAcc: 0.84635
Mean sen.: 0.71681
Mean spe.: 0.90009
Avg. time: 1.9523

YCrCbBest BAcc.: 0.79657
Mean BAcc: 0.75988
Mean sen.: 0.64811
Mean spe.: 0.83186
Avg. time: 3.28

CrCbBest BAcc.: 0.94294
Mean BAcc: 0.81556
Mean sen.: 0.61425
Mean spe.: 0.87505
Avg. time: 1.5142

Best BAcc.: 0.91797
Mean BAcc: 0.85888
Mean sen.: 0.72094
Mean spe.: 0.90462
Avg. time: 1.4304

Best BAcc.: 0.91816
Mean BAcc: 0.83095
Mean sen.: 0.50944
Mean spe.: 0.89749
Avg. time: 1.333

OrigBest BAcc.: 0.91808
Mean BAcc: 0.76817
Mean sen.: 0.22684
Mean spe.: 0.96200
Avg. time: 0.7393

ModBest BAcc.: 0.96551
Mean BAcc: 0.87931
Mean sen.: 0.77377
Mean spe.: 0.90182
Avg. time (C): 1.4847
Avg. time (B): 2.3388