The Prague Texture Segmentation Datagenerator and Benchmark - Results
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Results are sorted by criterion 'I' (type I error) in ascending order. The sorting criterium or the order can be changed by clicking on the appropriate criterium label. Subset of compared results can be filtered by several filters below. The segmentation details (single mosaics and their corresponding criteria values) are visible by clicking on the order number. Below the criterium labels are mean and standard deviation of the values of displayed results. They are used to compute z-scores which are displayed in brackets. The ranks are displayed in parentheses.

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? 0 1   f1 = classification (supervised segmentation)
? 0 1   f2 = hiearchy result (manual selection)
? 0 1   f3 = known number of regions
? 0 1   f4 = [reserved]
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Algorithm: Version:

   
Benchmark - Colour f1 f2 f3 f4 AVG
RANK
NORM		 CS
52.11
±37.84		 OS
6.79
±13.30		 US
3.57
±4.01		 ME
35.31
±32.66		 NE
35.66
±32.61		 O
42.57
±40.62		 C
41.46
±39.94		 CA
53.02
±38.47		 CO
59.24
±37.43		 CC
59.91
±37.16		 criterion 'I' (type I error) in ascending orderI
39.51
±37.16		 II
5.54
±6.11		 EA
58.35
±37.82		 MS
46.96
±46.01		 RM
4.65
±4.95		 CI
58.92
±37.58		 GCE
23.68
±18.06		 LCE
19.42
±16.26		 BCE
34.90
±25.16		 GBCE
30.64
±23.15		 BGM
73.24
±22.67		 SC
66.50
±25.57		 SSC
66.56
±25.90		 VD
20.25
±16.76		 L
71.92
±22.47		 AVI
8.80
±6.40		 NVI
27.59
±21.30		 NMI
66.00
±26.81		 M
12.55
±10.91		 ARI
62.16
±30.25		 JC
59.76
±27.96		 DC
70.09
±23.48		 FMI
70.55
±23.11		 WI
71.03
±24.41		 WII
71.07
±22.01		 NBDE
7.21
±5.01
 1.  huangyuan's EWT-FCNT   [normal] CL 1 0 0 0  98.43 
 (1.11) 
 [1.106] 		 98.45
(1)
[1.224]		 0.00
(1)
[-0.510]		 0.00
(1)
[-0.890]		 0.37
(2)
[-1.070]		 0.46
(2)
[-1.079]		 0.93
(1)
[-1.025]		 1.05
(1)
[-1.012]		 97.67
(1)
[1.161]		 98.78
(1)
[1.056]		 98.81
(1)
[1.047]		 1.22
(1)
[-1.030]		 0.25
(2)
[-0.867]		 98.76
(1)
[1.069]		 98.17
(1)
[1.113]		 0.24
(2)
[-0.890]		 98.78
(1)
[1.061]		 2.23
(1)
[-1.188]		 1.68
(1)
[-1.091]		 2.88
(1)
[-1.272]		 2.33
(1)
[-1.223]		 98.78
(1)
[1.127]		 97.69
(1)
[1.220]		 97.67
(1)
[1.201]		 1.21
(1)
[-1.136]		 97.86
(1)
[1.154]		 1.02
(1)
[-1.216]		 3.33
(1)
[-1.139]		 96.32
(1)
[1.131]		 0.74
(1)
[-1.082]		 97.61
(1)
[1.172]		 96.31
(1)
[1.307]		 98.09
(1)
[1.192]		 98.09
(1)
[1.191]		 98.14
(1)
[1.110]		 98.04
(1)
[1.225]		 0.60
(1)
[-1.319]
 2.  huangyuan's unet psp21ewt  [normal] CL 1 0 0 0  97.67 
 (2.06) 
 [1.071] 		 98.09
(2)
[1.215]		 1.70
(5)
[-0.382]		 0.00
(1)
[-0.890]		 0.37
(1)
[-1.070]		 0.09
(1)
[-1.091]		 1.57
(2)
[-1.009]		 1.82
(2)
[-0.993]		 96.52
(2)
[1.131]		 98.18
(2)
[1.040]		 98.01
(2)
[1.025]		 1.82
(2)
[-1.014]		 0.39
(3)
[-0.843]		 98.08
(2)
[1.051]		 97.27
(2)
[1.093]		 0.29
(3)
[-0.881]		 98.09
(2)
[1.042]		 3.20
(2)
[-1.134]		 2.70
(2)
[-1.029]		 3.95
(2)
[-1.230]		 3.44
(2)
[-1.175]		 98.18
(2)
[1.100]		 96.71
(2)
[1.182]		 96.55
(2)
[1.158]		 1.75
(2)
[-1.104]		 96.57
(2)
[1.096]		 1.48
(2)
[-1.143]		 4.90
(2)
[-1.065]		 94.58
(2)
[1.066]		 1.08
(2)
[-1.051]		 96.60
(2)
[1.138]		 94.77
(2)
[1.252]		 97.29
(2)
[1.158]		 97.29
(2)
[1.157]		 97.15
(2)
[1.070]		 97.44
(2)
[1.198]		 0.77
(2)
[-1.285]
 3.  connetwork12's conn col-noblur  [normal] CL 1 0 0 0  90.41 
 (3.03) 
 [0.754] 		 84.57
(3)
[0.858]		 0.00
(1)
[-0.510]		 1.70
(4)
[-0.467]		 9.50
(3)
[-0.790]		 10.22
(3)
[-0.780]		 7.00
(3)
[-0.875]		 5.34
(3)
[-0.904]		 86.21
(3)
[0.863]		 92.02
(3)
[0.876]		 92.68
(3)
[0.882]		 7.98
(3)
[-0.849]		 1.70
(4)
[-0.628]		 91.72
(3)
[0.882]		 88.03
(3)
[0.893]		 2.08
(4)
[-0.520]		 92.02
(3)
[0.881]		 11.76
(3)
[-0.660]		 8.61
(3)
[-0.665]		 16.45
(3)
[-0.733]		 13.30
(3)
[-0.749]		 92.02
(3)
[0.829]		 86.73
(3)
[0.791]		 86.36
(3)
[0.765]		 7.50
(3)
[-0.761]		 88.77
(3)
[0.750]		 4.31
(3)
[-0.701]		 14.50
(3)
[-0.614]		 84.01
(3)
[0.672]		 4.69
(3)
[-0.721]		 85.54
(3)
[0.773]		 80.13
(3)
[0.728]		 88.56
(3)
[0.787]		 88.61
(3)
[0.781]		 87.65
(3)
[0.681]		 89.66
(3)
[0.845]		 3.86
(3)
[-0.668]
 4.  connetwork12's conn col-blur3  [normal] CL 1 0 0 0  85.80 
 (4.14) 
 [0.558] 		 72.93
(4)
[0.550]		 1.73
(6)
[-0.380]		 2.74
(5)
[-0.207]		 18.89
(4)
[-0.503]		 18.74
(4)
[-0.519]		 9.21
(4)
[-0.821]		 9.78
(4)
[-0.793]		 80.08
(4)
[0.703]		 87.78
(4)
[0.762]		 89.19
(4)
[0.788]		 12.22
(4)
[-0.734]		 2.59
(5)
[-0.484]		 87.40
(4)
[0.768]		 81.67
(4)
[0.754]		 3.15
(5)
[-0.304]		 87.92
(4)
[0.772]		 16.64
(4)
[-0.390]		 12.55
(4)
[-0.423]		 22.57
(4)
[-0.490]		 18.48
(4)
[-0.525]		 88.02
(4)
[0.652]		 81.18
(4)
[0.574]		 80.76
(4)
[0.548]		 10.90
(4)
[-0.558]		 84.92
(4)
[0.578]		 5.75
(4)
[-0.477]		 19.43
(4)
[-0.383]		 78.64
(4)
[0.471]		 6.78
(4)
[-0.529]		 79.07
(4)
[0.559]		 72.50
(4)
[0.455]		 83.47
(4)
[0.570]		 83.50
(4)
[0.560]		 82.47
(4)
[0.468]		 84.60
(4)
[0.615]		 5.03
(4)
[-0.436]
 5.  eldeeqq's Test 0.1  [normal] 1 0 0 0  51.09 
 (6.19) 
 [-0.777] 		 8.67
(7)
[-1.148]		 0.80
(4)
[-0.450]		 0.00
(1)
[-0.890]		 78.33
(7)
[1.317]		 78.75
(7)
[1.321]		 47.95
(5)
[0.132]		 46.67
(5)
[0.130]		 32.97
(5)
[-0.521]		 46.72
(5)
[-0.334]		 48.37
(5)
[-0.311]		 43.28
(5)
[0.101]		 9.98
(6)
[0.727]		 45.29
(5)
[-0.345]		 25.43
(5)
[-0.468]		 7.08
(6)
[0.489]		 46.37
(5)
[-0.334]		 44.75
(7)
[1.167]		 38.35
(7)
[1.164]		 56.00
(7)
[0.838]		 49.60
(7)
[0.819]		 46.72
(7)
[-1.170]		 36.92
(7)
[-1.157]		 35.04
(7)
[-1.217]		 36.38
(7)
[0.962]		 44.04
(7)
[-1.241]		 14.08
(7)
[0.824]		 48.85
(7)
[0.998]		 36.29
(7)
[-1.108]		 21.01
(7)
[0.776]		 27.37
(7)
[-1.150]		 27.06
(7)
[-1.169]		 41.12
(7)
[-1.233]		 41.32
(7)
[-1.265]		 38.20
(7)
[-1.345]		 44.84
(7)
[-1.192]		 11.50
(7)
[0.854]
 6.  mahelpet's noname   [normal] 1 0 0 0  39.59 
 (7.31) 
 [-1.366] 		 3.83
(8)
[-1.276]		 0.00
(1)
[-0.510]		 12.17
(8)
[2.147]		 85.20
(8)
[1.528]		 85.02
(8)
[1.514]		 78.47
(6)
[0.884]		 72.17
(6)
[0.769]		 21.29
(6)
[-0.825]		 36.59
(6)
[-0.605]		 34.58
(6)
[-0.682]		 63.41
(6)
[0.643]		 15.70
(8)
[1.662]		 31.91
(6)
[-0.699]		 4.88
(6)
[-0.915]		 14.13
(8)
[1.914]		 33.63
(6)
[-0.673]		 53.56
(8)
[1.654]		 49.11
(8)
[1.826]		 75.05
(8)
[1.596]		 70.61
(8)
[1.727]		 36.59
(8)
[-1.617]		 28.80
(8)
[-1.474]		 26.36
(8)
[-1.552]		 50.56
(8)
[1.808]		 34.75
(8)
[-1.654]		 20.67
(8)
[1.854]		 68.12
(8)
[1.903]		 15.50
(8)
[-1.883]		 34.56
(8)
[2.017]		 12.57
(8)
[-1.639]		 21.60
(8)
[-1.365]		 34.65
(8)
[-1.509]		 35.98
(8)
[-1.496]		 30.24
(8)
[-1.671]		 44.75
(8)
[-1.196]		 14.79
(8)
[1.511]
 7.  veselj38's Histogram ratio features 1.21  [normal] CL 1 0 0 0  48.48 
 (6.33) 
 [-0.800] 		 20.64
(6)
[-0.832]		 8.84
(7)
[0.155]		 5.46
(6)
[0.472]		 62.70
(6)
[0.839]		 62.78
(6)
[0.832]		 95.42
(7)
[1.301]		 94.85
(7)
[1.337]		 9.45
(7)
[-1.133]		 13.85
(7)
[-1.213]		 17.65
(7)
[-1.137]		 86.15
(7)
[1.255]		 13.72
(7)
[1.339]		 13.61
(7)
[-1.183]		 -19.75
(8)
[-1.450]		 10.26
(7)
[1.133]		 14.53
(7)
[-1.181]		 37.36
(6)
[0.758]		 28.64
(6)
[0.567]		 52.75
(6)
[0.710]		 44.03
(6)
[0.579]		 62.26
(6)
[-0.484]		 50.86
(6)
[-0.612]		 51.47
(6)
[-0.583]		 30.55
(6)
[0.614]		 60.33
(6)
[-0.516]		 12.01
(6)
[0.501]		 40.10
(6)
[0.588]		 56.09
(6)
[-0.370]		 17.96
(6)
[0.496]		 44.52
(6)
[-0.583]		 39.60
(6)
[-0.721]		 55.83
(6)
[-0.607]		 56.19
(6)
[-0.621]		 57.90
(6)
[-0.538]		 55.22
(5)
[-0.720]		 11.44
(6)
[0.843]
 8.  LiRa's ==   [normal] CL 1 0 0 0  52.37 
 (5.67) 
 [-0.545] 		 29.72
(5)
[-0.592]		 41.22
(8)
[2.589]		 6.48
(7)
[0.727]		 27.12
(5)
[-0.251]		 29.19
(5)
[-0.198]		 100.00
(8)
[1.414]		 100.00
(8)
[1.466]		 0.00
(8)
[-1.378]		 0.00
(8)
[-1.583]		 0.00
(8)
[-1.612]		 100.00
(8)
[1.628]		 0.00
(1)
[-0.907]		 0.00
(8)
[-1.543]		 0.00
(7)
[-1.021]		 0.00
(1)
[-0.940]		 0.00
(8)
[-1.568]		 19.97
(5)
[-0.206]		 13.74
(5)
[-0.350]		 49.53
(5)
[0.582]		 43.31
(5)
[0.547]		 63.33
(5)
[-0.437]		 53.12
(5)
[-0.523]		 58.28
(5)
[-0.320]		 23.19
(5)
[0.175]		 68.16
(5)
[-0.167]		 11.10
(5)
[0.359]		 21.46
(5)
[-0.288]		 66.55
(5)
[0.021]		 13.59
(5)
[0.095]		 54.00
(5)
[-0.270]		 46.16
(5)
[-0.487]		 61.71
(5)
[-0.357]		 63.43
(5)
[-0.308]		 76.51
(5)
[0.224]		 54.02
(6)
[-0.775]		 9.72
(5)
[0.500]