Research Article

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

Table 9

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

-MeansCluster 1Cluster 2Cluster 3Cluster 4Metrics

Ground truth

Best BAcc.: 0.99148
Mean BAcc: 0.85533
Mean sen.: 0.55745
Mean spe.: 0.92899
Avg. time: 1.89000

nBest BAcc.: 0.99373
Mean BAcc: 0.94526
Mean sen.: 0.85293
Mean spe.: 0.95088
Avg. time: 0.93870

Best BAcc.: 0.98950
Mean BAcc: 0.85747
Mean sen.: 0.61804
Mean spe.: 0.92534
Avg. time: 2.7201

Best BAcc.: 0.99226
Mean BAcc: 0.9104
Mean sen.: 0.78740
Mean spe.: 0.91014
Avg. time: 1.02559

YCrCbBest BAcc.: 0.99224
Mean BAcc: 0.86661
Mean sen.: 0.67054
Mean spe.: 0.92761
Avg. time: 1.31560

CrCbBest BAcc.: 0.99250
Mean BAcc: 0.89663
Mean sen.: 0.80508
Mean spe.: 0.92476
Avg. time: 1.0642

Best BAcc.: 0.99258
Mean BAcc: 0.88251
Mean sen.: 0.64855
Mean spe.: 0.92107
Avg. time: 1.71349

Best BAcc.: 0.99258
Mean BAcc: 0.92937
Mean sen.: 0.80617
Mean spe.: 0.93624
Avg. time: 1.1482

OrigBest BAcc.: 0.99241
Mean BAcc: 0.84233
Mean sen.: 0.58515
Mean spe.: 0.87480
Avg. time: 0.58769

ModBest BAcc.: 0.99601
Mean BAcc: 0.95133
Mean sen.: 0.78958
Mean spe.: 0.94632
Avg. time (C): 1.3908
Avg. time (B): 2.28200