The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'NE' (noise 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
42.04
±20.72
OS
24.50
±21.47
US
15.10
±13.49
ME
23.28
±23.94
criterion 'NE' (noise error) in ascending orderNE
23.42
±23.73
O
31.65
±18.24
C
50.18
±33.03
CA
59.66
±15.04
CO
67.77
±13.93
CC
80.03
±12.85
I
32.23
±13.93
II
5.12
±4.20
EA
68.31
±13.24
MS
57.63
±17.45
RM
6.79
±3.46
CI
70.64
±12.23
GCE
16.54
±11.72
LCE
11.89
±10.51
BCE
42.17
±15.46
GBCE
37.52
±15.11
BGM
67.77
±13.93
SC
61.07
±15.60
SSC
62.00
±14.75
VD
20.79
±9.95
L
69.15
±12.49
AVI
9.19
±4.36
NVI
23.17
±11.26
NMI
68.97
±13.03
M
15.31
±7.23
ARI
57.39
±17.27
JC
52.98
±15.94
DC
65.97
±14.44
FMI
68.00
±13.39
WI
71.61
±15.64
WII
69.37
±18.13
NBDE
8.56
±3.20
 1.  v-andrearczyk's FCNT unsup.  [large] 0 0 0 0  89.21 
 (2.75) 
 [1.284] 
79.34
(1)
[1.800]
13.67
(13)
[-0.504]
6.25
(10)
[-0.656]
3.80
(2)
[-0.814]
3.80
(1)
[-0.827]
6.48
(2)
[-1.380]
22.88
(8)
[-0.827]
84.17
(1)
[1.630]
87.97
(2)
[1.450]
94.15
(4)
[1.099]
12.03
(2)
[-1.450]
1.42
(5)
[-0.882]
88.97
(1)
[1.561]
85.23
(1)
[1.581]
3.12
(3)
[-1.060]
89.91
(1)
[1.575]
6.46
(2)
[-0.860]
4.75
(3)
[-0.679]
17.73
(2)
[-1.581]
16.02
(2)
[-1.423]
87.97
(2)
[1.450]
84.11
(2)
[1.477]
84.85
(2)
[1.549]
7.79
(2)
[-1.307]
88.53
(1)
[1.551]
3.93
(2)
[-1.206]
10.70
(3)
[-1.107]
86.81
(2)
[1.370]
4.88
(2)
[-1.443]
84.85
(2)
[1.590]
80.02
(1)
[1.696]
87.75
(2)
[1.508]
88.28
(1)
[1.514]
90.69
(4)
[1.220]
87.01
(4)
[0.973]
3.32
(1)
[-1.641]
 2.  mevenkamp's PCA-MS   [large] 0 0 0 0  87.45 
 (5.33) 
 [1.133] 
72.27
(4)
[1.459]
18.33
(21)
[-0.287]
9.41
(15)
[-0.422]
4.19
(4)
[-0.798]
3.92
(2)
[-0.822]
7.25
(3)
[-1.338]
6.44
(1)
[-1.325]
81.13
(4)
[1.428]
85.96
(4)
[1.306]
91.24
(8)
[0.872]
14.04
(4)
[-1.306]
1.59
(8)
[-0.840]
87.08
(4)
[1.417]
81.84
(4)
[1.387]
4.45
(9)
[-0.676]
87.81
(4)
[1.404]
8.33
(8)
[-0.700]
5.61
(6)
[-0.597]
21.00
(4)
[-1.369]
18.28
(4)
[-1.274]
85.96
(4)
[1.306]
81.30
(4)
[1.297]
82.16
(4)
[1.366]
9.06
(4)
[-1.180]
85.54
(4)
[1.312]
4.31
(3)
[-1.120]
13.22
(6)
[-0.884]
84.78
(4)
[1.214]
5.88
(4)
[-1.304]
81.62
(4)
[1.403]
75.30
(4)
[1.400]
85.25
(4)
[1.335]
85.71
(4)
[1.322]
88.20
(7)
[1.061]
84.18
(7)
[0.817]
3.98
(4)
[-1.434]
 3.  emkay's A3M 1.0  [large] 0 0 0 0  88.21 
 (4.33) 
 [1.213] 
77.73
(2)
[1.723]
15.92
(19)
[-0.400]
6.31
(11)
[-0.652]
3.93
(3)
[-0.808]
3.92
(3)
[-0.822]
7.68
(4)
[-1.314]
24.24
(9)
[-0.786]
82.80
(3)
[1.539]
86.89
(3)
[1.372]
93.65
(5)
[1.060]
13.11
(3)
[-1.372]
1.50
(7)
[-0.862]
88.03
(3)
[1.490]
83.98
(2)
[1.510]
3.27
(5)
[-1.016]
89.03
(2)
[1.503]
7.40
(5)
[-0.780]
5.62
(7)
[-0.596]
19.31
(3)
[-1.479]
17.53
(3)
[-1.323]
86.89
(3)
[1.372]
82.57
(3)
[1.379]
83.49
(3)
[1.457]
8.57
(3)
[-1.229]
87.67
(2)
[1.482]
4.39
(4)
[-1.100]
11.86
(4)
[-1.004]
85.28
(3)
[1.253]
5.30
(3)
[-1.384]
83.46
(3)
[1.509]
78.26
(3)
[1.586]
86.61
(3)
[1.428]
87.16
(3)
[1.430]
89.88
(5)
[1.168]
85.64
(6)
[0.897]
3.51
(3)
[-1.579]
 4.  cpanag@csd.uoc.gr's VRA-PMCFA   [large] 0 0 0 0  89.36 
 (3.11) 
 [1.279] 
75.14
(3)
[1.598]
12.13
(11)
[-0.576]
9.85
(16)
[-0.390]
4.38
(6)
[-0.790]
4.37
(4)
[-0.803]
4.51
(1)
[-1.488]
8.89
(2)
[-1.250]
83.45
(2)
[1.582]
88.12
(1)
[1.461]
90.73
(10)
[0.833]
11.88
(1)
[-1.461]
1.48
(6)
[-0.867]
88.07
(2)
[1.492]
83.92
(3)
[1.506]
3.75
(7)
[-0.877]
88.72
(3)
[1.478]
6.55
(3)
[-0.852]
3.90
(2)
[-0.760]
17.51
(1)
[-1.595]
14.86
(1)
[-1.500]
88.12
(1)
[1.461]
84.63
(1)
[1.511]
84.95
(1)
[1.556]
7.59
(1)
[-1.327]
87.58
(3)
[1.475]
3.25
(1)
[-1.363]
9.89
(1)
[-1.179]
88.52
(1)
[1.501]
4.76
(1)
[-1.460]
84.94
(1)
[1.595]
79.62
(2)
[1.671]
87.84
(1)
[1.514]
88.25
(2)
[1.512]
88.92
(6)
[1.107]
88.43
(2)
[1.051]
3.40
(2)
[-1.615]
 5.  felipecalderero's GSRM MARKOV unsup. KL area-weighted  [normal] 0 0 0 0  76.16 
 (14.11) 
 [0.281] 
54.70
(10)
[0.611]
15.14
(17)
[-0.436]
23.71
(24)
[0.638]
5.49
(7)
[-0.743]
4.55
(5)
[-0.795]
24.79
(14)
[-0.376]
31.43
(13)
[-0.568]
63.98
(14)
[0.287]
71.55
(13)
[0.271]
75.39
(20)
[-0.361]
28.45
(13)
[-0.271]
4.53
(20)
[-0.141]
69.79
(15)
[0.112]
61.55
(15)
[0.224]
8.77
(24)
[0.573]
71.46
(17)
[0.067]
6.75
(4)
[-0.835]
4.81
(4)
[-0.673]
35.49
(13)
[-0.432]
33.56
(15)
[-0.262]
71.55
(13)
[0.271]
67.70
(12)
[0.425]
67.48
(13)
[0.372]
16.16
(12)
[-0.466]
73.83
(15)
[0.375]
6.79
(11)
[-0.550]
19.22
(17)
[-0.351]
74.98
(14)
[0.461]
17.61
(22)
[0.318]
61.29
(14)
[0.226]
57.57
(13)
[0.288]
69.20
(14)
[0.223]
72.50
(13)
[0.336]
73.38
(18)
[0.113]
80.01
(13)
[0.587]
9.00
(17)
[0.137]
 6.  test's EDISON 1.1  [normal] 0 0 0 0  53.36 
 (23.08) 
 [-1.131] 
12.68
(30)
[-1.417]
86.91
(32)
[2.906]
0.00
(1)
[-1.120]
2.48
(1)
[-0.869]
4.68
(6)
[-0.790]
73.17
(32)
[2.276]
100.00
(29)
[1.508]
31.19
(32)
[-1.894]
31.55
(32)
[-2.599]
98.09
(1)
[1.406]
68.45
(32)
[2.599]
0.24
(1)
[-1.161]
41.29
(32)
[-2.041]
31.13
(30)
[-1.519]
3.21
(4)
[-1.032]
50.29
(30)
[-1.664]
3.55
(1)
[-1.108]
3.44
(1)
[-0.804]
77.11
(32)
[2.259]
77.00
(32)
[2.613]
31.55
(32)
[-2.599]
23.11
(32)
[-2.433]
31.19
(32)
[-2.089]
35.37
(30)
[1.466]
44.44
(32)
[-1.977]
20.23
(32)
[2.536]
26.13
(24)
[0.262]
62.00
(23)
[-0.535]
16.84
(21)
[0.211]
28.00
(31)
[-1.701]
21.64
(32)
[-1.966]
32.51
(32)
[-2.317]
42.66
(31)
[-1.892]
95.06
(1)
[1.500]
21.85
(32)
[-2.621]
10.49
(23)
[0.604]
 7.  jolen217's Deep Brain Model   [large] 0 0 0 0  67.18 
 (18.50) 
 [-0.239] 
38.00
(17)
[-0.195]
41.53
(25)
[0.793]
52.52
(32)
[2.774]
4.21
(5)
[-0.797]
5.46
(7)
[-0.757]
45.27
(26)
[0.747]
99.63
(28)
[1.497]
51.84
(22)
[-0.520]
64.66
(20)
[-0.223]
72.83
(23)
[-0.560]
35.34
(20)
[0.223]
9.89
(29)
[1.134]
58.77
(24)
[-0.721]
49.29
(22)
[-0.478]
2.88
(1)
[-1.128]
61.50
(24)
[-0.747]
10.61
(12)
[-0.506]
5.14
(5)
[-0.642]
45.13
(19)
[0.191]
39.65
(19)
[0.141]
64.66
(20)
[-0.223]
60.14
(18)
[-0.059]
58.32
(20)
[-0.250]
19.20
(17)
[-0.160]
62.95
(21)
[-0.496]
8.48
(17)
[-0.162]
10.29
(2)
[-1.143]
65.13
(22)
[-0.294]
23.02
(28)
[1.065]
51.62
(21)
[-0.334]
49.93
(19)
[-0.191]
64.37
(20)
[-0.111]
67.76
(18)
[-0.018]
55.31
(26)
[-1.042]
88.07
(3)
[1.031]
8.26
(14)
[-0.094]
 8.  cbampis's GRPNMF   [large] 0 0 0 0  84.98 
 (7.50) 
 [0.959] 
69.50
(5)
[1.326]
16.05
(20)
[-0.394]
9.90
(17)
[-0.386]
5.74
(9)
[-0.733]
5.89
(8)
[-0.739]
10.33
(5)
[-1.169]
18.35
(7)
[-0.964]
77.92
(5)
[1.214]
84.00
(6)
[1.165]
88.41
(13)
[0.652]
16.00
(6)
[-1.165]
2.26
(10)
[-0.681]
84.39
(5)
[1.215]
78.57
(5)
[1.200]
4.34
(8)
[-0.708]
85.24
(5)
[1.194]
10.61
(11)
[-0.506]
7.69
(16)
[-0.400]
24.22
(6)
[-1.161]
21.30
(6)
[-1.074]
84.00
(6)
[1.165]
78.67
(6)
[1.129]
79.21
(5)
[1.167]
10.80
(6)
[-1.005]
83.08
(5)
[1.115]
5.39
(7)
[-0.871]
15.83
(7)
[-0.652]
81.02
(5)
[0.926]
7.42
(5)
[-1.091]
77.88
(5)
[1.186]
71.59
(5)
[1.167]
82.22
(6)
[1.125]
82.96
(5)
[1.117]
83.80
(10)
[0.779]
83.76
(9)
[0.793]
4.73
(5)
[-1.199]
 9.  yuanj's FSEG 3.0  [large] 0 0 0 0  84.47 
 (7.97) 
 [0.902] 
69.24
(6)
[1.313]
12.28
(12)
[-0.569]
17.03
(22)
[0.142]
7.71
(12)
[-0.650]
6.89
(9)
[-0.697]
11.66
(6)
[-1.096]
11.71
(4)
[-1.165]
76.32
(6)
[1.108]
84.05
(5)
[1.169]
84.15
(15)
[0.321]
15.95
(5)
[-1.169]
3.29
(12)
[-0.435]
82.53
(6)
[1.074]
77.11
(6)
[1.116]
5.00
(15)
[-0.516]
83.26
(6)
[1.032]
10.75
(13)
[-0.494]
7.52
(15)
[-0.416]
24.10
(5)
[-1.169]
20.87
(5)
[-1.102]
84.05
(5)
[1.169]
79.66
(5)
[1.192]
78.46
(6)
[1.116]
10.68
(5)
[-1.017]
80.37
(7)
[0.898]
5.17
(6)
[-0.922]
16.53
(9)
[-0.590]
80.60
(7)
[0.893]
7.88
(6)
[-1.027]
77.38
(6)
[1.157]
71.30
(6)
[1.149]
82.36
(5)
[1.135]
82.95
(6)
[1.116]
80.29
(11)
[0.555]
86.86
(5)
[0.964]
4.99
(7)
[-1.118]
 10.  xaos's MW3AR   [normal] 0 0 0 0  77.71 
 (10.00) 
 [0.573] 
53.04
(12)
[0.531]
59.53
(30)
[1.631]
3.20
(6)
[-0.882]
5.63
(8)
[-0.737]
6.96
(10)
[-0.694]
19.32
(11)
[-0.676]
86.19
(24)
[1.090]
71.89
(8)
[0.813]
74.66
(11)
[0.495]
95.04
(3)
[1.168]
25.34
(11)
[-0.495]
0.74
(3)
[-1.042]
80.43
(8)
[0.915]
71.78
(9)
[0.811]
3.09
(2)
[-1.068]
82.43
(7)
[0.964]
8.17
(7)
[-0.714]
5.78
(8)
[-0.581]
34.50
(11)
[-0.496]
32.11
(13)
[-0.358]
74.66
(11)
[0.495]
66.84
(13)
[0.370]
72.27
(10)
[0.696]
14.78
(10)
[-0.605]
80.63
(6)
[0.919]
7.16
(13)
[-0.464]
12.59
(5)
[-0.939]
79.57
(8)
[0.814]
8.97
(8)
[-0.877]
68.82
(9)
[0.662]
61.24
(10)
[0.518]
73.42
(10)
[0.516]
75.65
(10)
[0.571]
91.53
(3)
[1.274]
64.93
(21)
[-0.245]
7.12
(11)
[-0.450]
 11.  yuanj's FSEG woMg  [large] 0 0 0 0  80.37 
 (10.22) 
 [0.668] 
56.96
(8)
[0.720]
32.75
(23)
[0.384]
6.74
(12)
[-0.620]
7.45
(11)
[-0.662]
7.05
(11)
[-0.690]
15.50
(8)
[-0.885]
38.33
(16)
[-0.359]
72.29
(7)
[0.840]
77.63
(9)
[0.708]
90.76
(9)
[0.835]
22.37
(9)
[-0.708]
1.70
(9)
[-0.814]
80.75
(7)
[0.939]
72.92
(7)
[0.876]
4.90
(13)
[-0.544]
82.35
(8)
[0.958]
11.72
(15)
[-0.411]
7.91
(18)
[-0.378]
31.90
(9)
[-0.665]
28.09
(10)
[-0.624]
77.63
(9)
[0.708]
70.77
(9)
[0.622]
73.29
(8)
[0.765]
13.96
(9)
[-0.687]
80.10
(8)
[0.877]
6.64
(10)
[-0.584]
17.51
(11)
[-0.503]
78.28
(9)
[0.715]
8.61
(7)
[-0.927]
71.79
(8)
[0.833]
64.05
(8)
[0.694]
76.75
(8)
[0.746]
77.95
(8)
[0.743]
86.18
(8)
[0.932]
72.30
(19)
[0.162]
6.37
(10)
[-0.685]
f1 f2 f3 f4 AVG
RANK
NORM
CS
42.04
±20.72
OS
24.50
±21.47
US
15.10
±13.49
ME
23.28
±23.94
criterion 'NE' (noise error) in ascending orderNE
23.42
±23.73
O
31.65
±18.24
C
50.18
±33.03
CA
59.66
±15.04
CO
67.77
±13.93
CC
80.03
±12.85
I
32.23
±13.93
II
5.12
±4.20
EA
68.31
±13.24
MS
57.63
±17.45
RM
6.79
±3.46
CI
70.64
±12.23
GCE
16.54
±11.72
LCE
11.89
±10.51
BCE
42.17
±15.46
GBCE
37.52
±15.11
BGM
67.77
±13.93
SC
61.07
±15.60
SSC
62.00
±14.75
VD
20.79
±9.95
L
69.15
±12.49
AVI
9.19
±4.36
NVI
23.17
±11.26
NMI
68.97
±13.03
M
15.31
±7.23
ARI
57.39
±17.27
JC
52.98
±15.94
DC
65.97
±14.44
FMI
68.00
±13.39
WI
71.61
±15.64
WII
69.37
±18.13
NBDE
8.56
±3.20
 12.  test's TBES 1.0  [normal] 0 0 0 0  72.22 
 (14.78) 
 [0.189] 
37.72
(18)
[-0.208]
59.77
(31)
[1.642]
1.25
(4)
[-1.027]
7.24
(10)
[-0.671]
8.22
(12)
[-0.641]
27.55
(16)
[-0.224]
95.08
(27)
[1.359]
63.30
(15)
[0.242]
65.66
(18)
[-0.151]
96.20
(2)
[1.258]
34.34
(18)
[0.151]
0.60
(2)
[-1.075]
74.19
(12)
[0.444]
63.73
(13)
[0.349]
5.27
(16)
[-0.437]
77.29
(12)
[0.544]
7.57
(6)
[-0.765]
6.02
(11)
[-0.558]
44.81
(18)
[0.170]
43.26
(22)
[0.379]
65.66
(18)
[-0.151]
56.32
(21)
[-0.304]
63.34
(15)
[0.091]
19.40
(18)
[-0.140]
75.45
(12)
[0.504]
8.76
(20)
[-0.097]
18.00
(13)
[-0.459]
75.24
(13)
[0.481]
10.93
(10)
[-0.606]
60.46
(15)
[0.177]
51.10
(17)
[-0.118]
66.22
(17)
[0.017]
69.21
(17)
[0.091]
91.55
(2)
[1.275]
53.39
(28)
[-0.882]
8.10
(13)
[-0.146]
 13.  daicav's SegTexCol  [large] 0 0 0 0  82.50 
 (9.00) 
 [0.753] 
61.19
(7)
[0.924]
1.92
(1)
[-1.052]
27.02
(27)
[0.884]
9.33
(13)
[-0.583]
9.05
(13)
[-0.606]
15.17
(7)
[-0.904]
12.12
(5)
[-1.152]
71.69
(9)
[0.800]
81.16
(7)
[0.961]
76.34
(19)
[-0.287]
18.84
(7)
[-0.961]
3.77
(16)
[-0.323]
77.20
(9)
[0.672]
71.87
(8)
[0.816]
6.40
(17)
[-0.112]
77.95
(9)
[0.597]
8.36
(9)
[-0.698]
6.01
(10)
[-0.559]
25.98
(7)
[-1.048]
23.63
(7)
[-0.919]
81.16
(7)
[0.961]
78.15
(7)
[1.095]
75.50
(7)
[0.915]
11.75
(7)
[-0.909]
76.27
(11)
[0.570]
4.88
(5)
[-0.987]
16.00
(8)
[-0.636]
80.93
(6)
[0.919]
9.19
(9)
[-0.847]
75.75
(7)
[1.063]
70.11
(7)
[1.074]
80.97
(7)
[1.038]
81.91
(7)
[1.039]
75.75
(15)
[0.265]
90.27
(1)
[1.153]
4.93
(6)
[-1.137]
 14.  sylvia's TEX-ROI-SEG 1.0  [normal] 0 0 0 0  80.15 
 (11.17) 
 [0.586] 
56.37
(9)
[0.692]
11.93
(10)
[-0.586]
19.79
(23)
[0.347]
11.55
(15)
[-0.490]
10.29
(14)
[-0.553]
18.21
(10)
[-0.737]
9.63
(3)
[-1.228]
69.45
(10)
[0.651]
78.26
(8)
[0.753]
81.24
(18)
[0.094]
21.74
(8)
[-0.753]
4.16
(18)
[-0.230]
76.31
(10)
[0.604]
68.88
(10)
[0.645]
7.37
(20)
[0.169]
77.86
(10)
[0.591]
11.99
(16)
[-0.388]
6.71
(13)
[-0.493]
30.48
(8)
[-0.756]
25.20
(8)
[-0.816]
78.26
(8)
[0.753]
73.70
(8)
[0.810]
72.48
(9)
[0.710]
13.66
(8)
[-0.717]
76.83
(9)
[0.615]
5.74
(8)
[-0.790]
18.34
(15)
[-0.428]
78.12
(10)
[0.703]
11.74
(12)
[-0.494]
68.74
(10)
[0.657]
63.73
(9)
[0.674]
75.91
(9)
[0.688]
77.00
(9)
[0.672]
73.11
(19)
[0.096]
83.24
(10)
[0.765]
5.45
(8)
[-0.972]
 15.  yuanj's RS   [large] 0 0 0 1  71.87 
 (18.42) 
 [-0.089] 
46.02
(13)
[0.192]
13.96
(14)
[-0.491]
30.01
(28)
[1.105]
12.01
(16)
[-0.471]
11.77
(15)
[-0.491]
35.11
(19)
[0.190]
29.91
(12)
[-0.614]
58.75
(17)
[-0.061]
68.89
(16)
[0.081]
69.30
(25)
[-0.835]
31.11
(16)
[-0.081]
8.63
(28)
[0.833]
65.87
(19)
[-0.184]
55.52
(19)
[-0.121]
10.96
(30)
[1.206]
67.35
(20)
[-0.269]
11.23
(14)
[-0.453]
7.70
(17)
[-0.398]
40.64
(16)
[-0.099]
37.11
(16)
[-0.027]
68.89
(16)
[0.081]
63.92
(15)
[0.183]
62.40
(16)
[0.027]
18.52
(15)
[-0.229]
66.67
(20)
[-0.199]
7.96
(15)
[-0.281]
25.08
(22)
[0.170]
61.66
(24)
[-0.561]
23.67
(29)
[1.156]
56.50
(17)
[-0.052]
55.50
(14)
[0.158]
68.10
(15)
[0.147]
70.97
(15)
[0.222]
65.41
(21)
[-0.397]
84.01
(8)
[0.807]
13.09
(31)
[1.414]
 16.  xaos's AR3D+EM multi 1.0  [normal] 0 0 0 0  73.30 
 (15.03) 
 [0.216] 
43.22
(14)
[0.057]
49.27
(26)
[1.153]
16.55
(21)
[0.107]
10.30
(14)
[-0.542]
12.56
(16)
[-0.458]
21.99
(12)
[-0.530]
87.38
(25)
[1.126]
64.51
(13)
[0.322]
71.00
(14)
[0.232]
90.14
(11)
[0.787]
29.00
(14)
[-0.232]
3.79
(17)
[-0.318]
73.90
(13)
[0.422]
64.47
(12)
[0.392]
4.55
(10)
[-0.647]
76.51
(13)
[0.480]
15.32
(19)
[-0.104]
7.98
(19)
[-0.372]
40.43
(15)
[-0.113]
33.09
(14)
[-0.293]
71.00
(14)
[0.232]
61.68
(17)
[0.040]
67.03
(14)
[0.341]
16.87
(13)
[-0.395]
76.79
(10)
[0.612]
8.38
(16)
[-0.185]
16.76
(10)
[-0.569]
72.32
(15)
[0.257]
13.51
(14)
[-0.249]
61.60
(13)
[0.243]
55.09
(15)
[0.132]
69.68
(13)
[0.257]
71.15
(14)
[0.235]
77.54
(13)
[0.379]
67.86
(20)
[-0.083]
9.08
(18)
[0.162]
 17.  xaos's AR3D+EM 1.0  [normal] 0 0 0 0  69.54 
 (17.69) 
 [-0.015] 
37.42
(19)
[-0.223]
59.53
(29)
[1.631]
8.86
(13)
[-0.463]
12.54
(17)
[-0.449]
13.14
(17)
[-0.433]
34.32
(18)
[0.147]
100.00
(29)
[1.508]
59.46
(16)
[-0.014]
64.81
(19)
[-0.212]
91.79
(7)
[0.915]
35.19
(19)
[0.212]
3.39
(14)
[-0.411]
69.60
(16)
[0.097]
58.89
(16)
[0.072]
4.88
(12)
[-0.550]
73.15
(15)
[0.205]
12.13
(17)
[-0.376]
6.70
(12)
[-0.494]
47.22
(21)
[0.326]
41.79
(21)
[0.282]
64.81
(19)
[-0.212]
54.85
(22)
[-0.399]
61.34
(18)
[-0.045]
19.76
(19)
[-0.104]
72.15
(16)
[0.240]
9.84
(22)
[0.150]
18.31
(14)
[-0.432]
69.70
(17)
[0.056]
15.43
(17)
[0.017]
55.99
(18)
[-0.081]
49.12
(20)
[-0.242]
64.44
(19)
[-0.106]
67.22
(19)
[-0.058]
78.72
(12)
[0.455]
61.85
(22)
[-0.415]
8.65
(16)
[0.027]
 18.  felipecalderero's GSRM unsup. KL area-weighted  [normal] 0 0 0 0  77.65 
 (12.89) 
 [0.440] 
54.05
(11)
[0.579]
15.88
(18)
[-0.401]
14.45
(20)
[-0.049]
13.62
(18)
[-0.404]
14.03
(18)
[-0.396]
23.44
(13)
[-0.450]
26.47
(10)
[-0.718]
66.75
(11)
[0.471]
73.67
(12)
[0.424]
81.41
(17)
[0.108]
26.33
(12)
[-0.424]
3.35
(13)
[-0.421]
73.14
(14)
[0.364]
65.75
(11)
[0.465]
6.76
(19)
[-0.009]
75.09
(14)
[0.363]
8.88
(10)
[-0.654]
5.98
(9)
[-0.563]
33.93
(10)
[-0.533]
31.03
(11)
[-0.430]
73.67
(12)
[0.424]
68.93
(10)
[0.504]
69.15
(11)
[0.485]
15.95
(11)
[-0.487]
74.85
(14)
[0.456]
6.93
(12)
[-0.518]
17.65
(12)
[-0.490]
78.09
(11)
[0.701]
12.36
(13)
[-0.409]
64.94
(12)
[0.437]
60.71
(11)
[0.485]
71.13
(12)
[0.357]
73.53
(12)
[0.413]
76.97
(14)
[0.342]
76.81
(17)
[0.410]
6.29
(9)
[-0.710]
 19.  xaos's GMRF+EM 2.0  [normal] 0 0 0 0  68.15 
 (19.19) 
 [-0.115] 
31.93
(20)
[-0.488]
53.27
(28)
[1.340]
11.24
(18)
[-0.287]
14.97
(19)
[-0.347]
16.91
(19)
[-0.274]
33.61
(17)
[0.107]
100.00
(29)
[1.508]
57.91
(18)
[-0.117]
63.51
(22)
[-0.306]
89.26
(12)
[0.718]
36.49
(22)
[0.306]
3.14
(11)
[-0.472]
68.41
(17)
[0.008]
57.42
(17)
[-0.012]
4.86
(11)
[-0.556]
71.80
(16)
[0.095]
16.04
(20)
[-0.042]
7.31
(14)
[-0.436]
48.88
(22)
[0.433]
40.15
(20)
[0.173]
63.51
(22)
[-0.306]
53.52
(24)
[-0.484]
59.43
(19)
[-0.174]
20.63
(20)
[-0.016]
70.55
(17)
[0.112]
10.20
(23)
[0.232]
19.02
(16)
[-0.368]
69.24
(18)
[0.021]
15.27
(16)
[-0.006]
53.30
(20)
[-0.237]
46.11
(22)
[-0.431]
61.88
(22)
[-0.283]
64.08
(22)
[-0.293]
75.46
(16)
[0.246]
57.53
(23)
[-0.653]
9.46
(19)
[0.279]
 20.  test's EGBIS   [normal] 0 0 0 0  66.03 
 (21.94) 
 [-0.376] 
28.78
(23)
[-0.640]
19.69
(22)
[-0.224]
39.15
(30)
[1.783]
20.42
(20)
[-0.120]
21.54
(20)
[-0.079]
44.35
(25)
[0.696]
82.87
(23)
[0.990]
51.10
(23)
[-0.569]
64.12
(21)
[-0.262]
72.73
(24)
[-0.568]
35.88
(21)
[0.262]
7.59
(26)
[0.586]
59.88
(22)
[-0.637]
49.03
(23)
[-0.493]
8.38
(23)
[0.460]
63.11
(22)
[-0.615]
16.64
(21)
[0.009]
8.97
(20)
[-0.278]
46.67
(20)
[0.291]
39.00
(18)
[0.098]
64.12
(21)
[-0.262]
58.75
(19)
[-0.148]
56.28
(22)
[-0.388]
21.29
(21)
[0.049]
62.16
(22)
[-0.560]
8.58
(19)
[-0.140]
21.24
(20)
[-0.171]
66.50
(20)
[-0.189]
19.72
(24)
[0.610]
49.98
(23)
[-0.429]
46.39
(21)
[-0.413]
62.19
(21)
[-0.262]
64.19
(21)
[-0.284]
55.71
(24)
[-1.017]
76.97
(15)
[0.419]
13.05
(30)
[1.404]
 21.  rohit.iiith's Graph based Segmentation   [normal] 0 0 0 1  71.66 
 (17.83) 
 [0.004] 
40.32
(16)
[-0.083]
14.75
(15)
[-0.454]
24.05
(25)
[0.663]
26.74
(21)
[0.145]
24.43
(21)
[0.043]
25.10
(15)
[-0.359]
45.01
(19)
[-0.157]
57.45
(19)
[-0.147]
69.00
(15)
[0.089]
74.51
(21)
[-0.430]
31.00
(15)
[-0.089]
7.58
(25)
[0.585]
65.86
(20)
[-0.185]
55.81
(18)
[-0.104]
8.90
(25)
[0.611]
68.46
(19)
[-0.179]
17.54
(24)
[0.085]
8.99
(21)
[-0.276]
40.34
(14)
[-0.119]
31.79
(12)
[-0.379]
69.00
(15)
[0.089]
64.12
(14)
[0.196]
61.80
(17)
[-0.014]
18.83
(16)
[-0.197]
69.96
(18)
[0.065]
7.27
(14)
[-0.439]
21.14
(18)
[-0.180]
71.82
(16)
[0.219]
16.27
(19)
[0.132]
57.53
(16)
[0.008]
53.34
(16)
[0.022]
68.06
(16)
[0.144]
69.35
(16)
[0.101]
61.84
(22)
[-0.625]
79.58
(14)
[0.563]
8.43
(15)
[-0.042]
 22.  test's HGS  [normal] 0 0 0 0  65.01 
 (23.69) 
 [-0.573] 
29.81
(22)
[-0.590]
10.69
(9)
[-0.643]
33.76
(29)
[1.383]
26.89
(22)
[0.151]
25.04
(22)
[0.068]
48.94
(27)
[0.948]
32.39
(14)
[-0.539]
49.60
(24)
[-0.669]
63.37
(23)
[-0.315]
66.09
(27)
[-1.085]
36.63
(23)
[0.315]
13.51
(31)
[1.994]
58.74
(25)
[-0.723]
46.63
(24)
[-0.631]
13.31
(31)
[1.887]
61.17
(26)
[-0.775]
16.75
(22)
[0.018]
10.46
(22)
[-0.136]
49.80
(23)
[0.493]
43.51
(23)
[0.396]
63.37
(23)
[-0.315]
57.52
(20)
[-0.227]
53.33
(24)
[-0.588]
22.90
(23)
[0.211]
58.60
(25)
[-0.844]
9.46
(21)
[0.064]
30.28
(26)
[0.631]
57.28
(27)
[-0.897]
27.95
(31)
[1.746]
41.52
(25)
[-0.919]
43.98
(24)
[-0.564]
58.92
(24)
[-0.489]
62.21
(23)
[-0.432]
50.58
(29)
[-1.345]
81.27
(12)
[0.656]
11.42
(27)
[0.895]
f1 f2 f3 f4 AVG
RANK
NORM
CS
42.04
±20.72
OS
24.50
±21.47
US
15.10
±13.49
ME
23.28
±23.94
criterion 'NE' (noise error) in ascending orderNE
23.42
±23.73
O
31.65
±18.24
C
50.18
±33.03
CA
59.66
±15.04
CO
67.77
±13.93
CC
80.03
±12.85
I
32.23
±13.93
II
5.12
±4.20
EA
68.31
±13.24
MS
57.63
±17.45
RM
6.79
±3.46
CI
70.64
±12.23
GCE
16.54
±11.72
LCE
11.89
±10.51
BCE
42.17
±15.46
GBCE
37.52
±15.11
BGM
67.77
±13.93
SC
61.07
±15.60
SSC
62.00
±14.75
VD
20.79
±9.95
L
69.15
±12.49
AVI
9.19
±4.36
NVI
23.17
±11.26
NMI
68.97
±13.03
M
15.31
±7.23
ARI
57.39
±17.27
JC
52.98
±15.94
DC
65.97
±14.44
FMI
68.00
±13.39
WI
71.61
±15.64
WII
69.37
±18.13
NBDE
8.56
±3.20
 23.  test's HGS  [normal] 0 0 0 0  60.24 
 (26.00) 
 [-1.048] 
27.57
(24)
[-0.698]
8.63
(8)
[-0.739]
45.82
(31)
[2.277]
27.22
(23)
[0.165]
26.54
(23)
[0.131]
53.84
(28)
[1.217]
35.44
(15)
[-0.447]
43.74
(28)
[-1.059]
58.05
(26)
[-0.697]
56.48
(31)
[-1.833]
41.95
(26)
[0.697]
19.99
(32)
[3.537]
51.11
(28)
[-1.299]
37.41
(28)
[-1.159]
19.29
(32)
[3.613]
53.33
(29)
[-1.416]
17.20
(23)
[0.057]
13.62
(26)
[0.165]
53.08
(25)
[0.705]
49.49
(28)
[0.792]
58.05
(26)
[-0.697]
54.07
(23)
[-0.448]
48.87
(25)
[-0.890]
27.12
(25)
[0.637]
53.36
(28)
[-1.263]
14.08
(28)
[1.123]
34.51
(28)
[1.006]
51.59
(29)
[-1.334]
35.99
(32)
[2.858]
36.13
(28)
[-1.231]
40.54
(25)
[-0.780]
54.16
(26)
[-0.818]
58.24
(25)
[-0.729]
44.09
(31)
[-1.760]
82.17
(11)
[0.706]
16.69
(32)
[2.542]
 24.  xiaofang's sas originial  [normal] 0 0 0 0  76.67 
 (14.17) 
 [0.366] 
41.42
(15)
[-0.030]
15.04
(16)
[-0.441]
12.48
(19)
[-0.194]
27.64
(24)
[0.182]
26.92
(24)
[0.148]
17.80
(9)
[-0.759]
15.13
(6)
[-1.061]
66.53
(12)
[0.457]
75.75
(10)
[0.573]
82.19
(16)
[0.168]
24.25
(10)
[-0.573]
4.17
(19)
[-0.227]
76.10
(11)
[0.588]
63.63
(14)
[0.343]
6.72
(18)
[-0.019]
77.48
(11)
[0.559]
20.47
(27)
[0.336]
11.25
(23)
[-0.061]
35.25
(12)
[-0.447]
26.03
(9)
[-0.761]
75.75
(10)
[0.573]
68.47
(11)
[0.475]
68.43
(12)
[0.436]
17.13
(14)
[-0.369]
75.42
(13)
[0.502]
6.47
(9)
[-0.623]
21.84
(21)
[-0.118]
76.07
(12)
[0.545]
11.22
(11)
[-0.567]
66.22
(11)
[0.511]
59.42
(12)
[0.404]
73.37
(11)
[0.512]
73.72
(11)
[0.427]
74.33
(17)
[0.174]
73.83
(18)
[0.246]
8.02
(12)
[-0.170]
 25.  ales.hejl's ed_ah  [normal] 0 0 0 0  55.83 
 (24.67) 
 [-0.955] 
17.54
(28)
[-1.183]
52.99
(27)
[1.327]
0.00
(1)
[-1.120]
30.29
(25)
[0.293]
34.59
(25)
[0.471]
64.37
(31)
[1.794]
100.00
(29)
[1.508]
38.26
(29)
[-1.424]
40.46
(31)
[-1.960]
92.77
(6)
[0.992]
59.54
(31)
[1.960]
1.28
(4)
[-0.915]
48.85
(29)
[-1.470]
37.89
(27)
[-1.131]
3.74
(6)
[-0.879]
55.96
(28)
[-1.201]
13.12
(18)
[-0.291]
11.91
(25)
[0.002]
69.24
(30)
[1.751]
68.03
(31)
[2.019]
40.46
(31)
[-1.960]
31.85
(30)
[-1.873]
38.40
(30)
[-1.600]
34.18
(28)
[1.346]
51.81
(29)
[-1.387]
17.88
(30)
[1.996]
25.68
(23)
[0.223]
60.66
(25)
[-0.638]
16.10
(18)
[0.109]
35.27
(29)
[-1.281]
28.30
(30)
[-1.548]
41.55
(30)
[-1.691]
48.37
(29)
[-1.465]
85.00
(9)
[0.856]
30.21
(31)
[-2.160]
10.65
(25)
[0.654]
 26.  test's JSEG   [normal] 0 0 0 0  65.97 
 (21.36) 
 [-0.263] 
27.47
(25)
[-0.703]
38.62
(24)
[0.657]
5.04
(8)
[-0.746]
35.00
(26)
[0.490]
35.50
(26)
[0.509]
37.94
(20)
[0.345]
92.77
(26)
[1.290]
55.29
(20)
[-0.291]
61.81
(24)
[-0.427]
87.70
(14)
[0.597]
38.19
(24)
[0.427]
3.66
(15)
[-0.349]
66.74
(18)
[-0.119]
55.14
(20)
[-0.143]
4.96
(14)
[-0.529]
70.27
(18)
[-0.030]
18.45
(25)
[0.164]
11.64
(24)
[-0.024]
50.79
(24)
[0.557]
43.98
(24)
[0.427]
61.81
(24)
[-0.427]
51.94
(25)
[-0.585]
56.24
(23)
[-0.390]
23.38
(24)
[0.260]
66.85
(19)
[-0.184]
10.68
(24)
[0.343]
21.23
(19)
[-0.172]
67.54
(19)
[-0.109]
15.19
(15)
[-0.018]
50.96
(22)
[-0.372]
44.46
(23)
[-0.535]
59.81
(23)
[-0.427]
61.42
(24)
[-0.491]
72.27
(20)
[0.042]
54.02
(26)
[-0.847]
9.82
(20)
[0.394]
 27.  xiaofang's weighted_color_patch   [normal] 0 0 0 0  68.23 
 (20.50) 
 [-0.259] 
30.92
(21)
[-0.537]
4.12
(3)
[-0.949]
26.67
(26)
[0.858]
37.40
(27)
[0.590]
35.72
(27)
[0.518]
41.32
(22)
[0.530]
28.70
(11)
[-0.651]
53.55
(21)
[-0.406]
67.49
(17)
[-0.020]
63.39
(28)
[-1.295]
32.51
(17)
[0.020]
6.60
(21)
[0.351]
62.69
(21)
[-0.425]
51.23
(21)
[-0.367]
9.34
(28)
[0.739]
64.00
(21)
[-0.543]
20.29
(26)
[0.320]
14.82
(27)
[0.279]
43.88
(17)
[0.110]
38.42
(17)
[0.059]
67.49
(17)
[-0.020]
61.93
(16)
[0.056]
58.22
(21)
[-0.256]
22.27
(22)
[0.148]
60.97
(24)
[-0.655]
8.50
(18)
[-0.157]
28.31
(25)
[0.456]
65.70
(21)
[-0.250]
16.83
(20)
[0.210]
54.93
(19)
[-0.143]
50.40
(18)
[-0.162]
65.57
(18)
[-0.028]
66.85
(20)
[-0.086]
59.53
(23)
[-0.772]
76.91
(16)
[0.416]
9.89
(21)
[0.415]
 28.  test's Blobworld   [normal] 0 0 0 0  59.72 
 (25.22) 
 [-0.799] 
21.01
(27)
[-1.015]
7.33
(5)
[-0.800]
9.30
(14)
[-0.431]
59.55
(28)
[1.515]
61.68
(28)
[1.613]
41.45
(23)
[0.537]
58.94
(21)
[0.265]
46.23
(26)
[-0.893]
56.04
(28)
[-0.841]
73.62
(22)
[-0.498]
43.96
(28)
[0.841]
6.72
(22)
[0.379]
58.37
(26)
[-0.751]
40.36
(25)
[-0.990]
7.96
(21)
[0.338]
61.31
(25)
[-0.763]
31.16
(28)
[1.248]
23.19
(28)
[1.076]
56.72
(28)
[0.941]
48.75
(27)
[0.743]
56.04
(28)
[-0.841]
45.75
(28)
[-0.982]
48.66
(27)
[-0.904]
31.11
(26)
[1.038]
61.54
(23)
[-0.609]
12.33
(25)
[0.722]
32.70
(27)
[0.846]
57.36
(26)
[-0.891]
20.03
(26)
[0.651]
39.74
(26)
[-1.022]
36.22
(28)
[-1.051]
51.87
(28)
[-0.976]
52.90
(27)
[-1.128]
55.64
(25)
[-1.021]
52.32
(29)
[-0.940]
12.18
(29)
[1.130]
 29.  kamenluk's kamenluk test  [normal] 0 0 0 0  59.94 
 (24.44) 
 [-0.817] 
21.74
(26)
[-0.980]
8.14
(7)
[-0.762]
2.07
(5)
[-0.966]
67.75
(29)
[1.858]
65.81
(29)
[1.787]
40.75
(21)
[0.499]
40.94
(17)
[-0.280]
47.30
(25)
[-0.822]
59.89
(25)
[-0.566]
67.76
(26)
[-0.955]
40.11
(25)
[0.566]
7.20
(24)
[0.495]
59.69
(23)
[-0.652]
39.86
(26)
[-1.018]
8.99
(26)
[0.637]
61.64
(23)
[-0.736]
39.70
(29)
[1.976]
30.66
(29)
[1.787]
54.15
(26)
[0.775]
45.11
(25)
[0.502]
59.89
(25)
[-0.566]
49.53
(26)
[-0.740]
48.70
(26)
[-0.902]
33.50
(27)
[1.277]
57.31
(26)
[-0.947]
12.57
(26)
[0.776]
42.33
(29)
[1.701]
53.02
(28)
[-1.224]
19.50
(23)
[0.578]
42.13
(24)
[-0.883]
39.76
(26)
[-0.830]
54.66
(25)
[-0.783]
54.92
(26)
[-0.977]
54.52
(27)
[-1.093]
55.84
(24)
[-0.747]
11.02
(26)
[0.769]
 30.  pavelm10's base   [large] 0 0 0 0  57.57 
 (26.08) 
 [-0.974] 
15.03
(29)
[-1.304]
7.45
(6)
[-0.794]
5.73
(9)
[-0.695]
71.45
(30)
[2.012]
70.33
(30)
[1.977]
42.80
(24)
[0.611]
43.04
(18)
[-0.216]
44.01
(27)
[-1.041]
57.43
(27)
[-0.742]
63.10
(29)
[-1.318]
42.57
(27)
[0.742]
8.47
(27)
[0.795]
57.00
(27)
[-0.855]
36.17
(29)
[-1.230]
8.11
(22)
[0.383]
58.55
(27)
[-0.988]
41.99
(30)
[2.172]
33.47
(30)
[2.054]
56.18
(27)
[0.906]
47.66
(26)
[0.671]
57.43
(27)
[-0.742]
46.82
(27)
[-0.913]
46.31
(28)
[-1.064]
35.13
(29)
[1.441]
56.79
(27)
[-0.989]
13.15
(27)
[0.908]
44.70
(30)
[1.911]
51.24
(30)
[-1.361]
19.90
(25)
[0.634]
39.36
(27)
[-1.044]
36.47
(27)
[-1.035]
52.04
(27)
[-0.965]
52.32
(28)
[-1.171]
51.41
(28)
[-1.292]
53.79
(27)
[-0.860]
10.55
(24)
[0.622]
 31.  py's CGCHI   [large] 0 0 0 0  51.34 
 (28.00) 
 [-1.432] 
10.94
(31)
[-1.501]
2.19
(2)
[-1.039]
3.96
(7)
[-0.826]
81.91
(31)
[2.449]
81.39
(31)
[2.443]
59.33
(29)
[1.517]
51.77
(20)
[0.048]
35.62
(30)
[-1.599]
50.50
(29)
[-1.240]
49.27
(32)
[-2.394]
49.50
(29)
[1.240]
10.69
(30)
[1.325]
47.04
(30)
[-1.606]
26.89
(31)
[-1.761]
10.28
(29)
[1.011]
48.39
(31)
[-1.820]
42.35
(31)
[2.203]
38.59
(31)
[2.542]
62.15
(29)
[1.292]
58.39
(29)
[1.381]
50.50
(29)
[-1.240]
41.93
(29)
[-1.227]
39.53
(29)
[-1.523]
40.15
(31)
[1.946]
48.15
(30)
[-1.681]
15.31
(29)
[1.404]
50.16
(31)
[2.395]
39.47
(31)
[-2.265]
25.32
(30)
[1.384]
30.89
(30)
[-1.534]
31.50
(29)
[-1.348]
46.39
(29)
[-1.356]
47.54
(30)
[-1.527]
43.30
(32)
[-1.810]
54.28
(25)
[-0.833]
10.44
(22)
[0.588]
 32.  siddharth's My algo1 0.1  [normal] 0 0 0 0  46.12 
 (28.81) 
 [-1.762] 
6.21
(32)
[-1.729]
4.72
(4)
[-0.921]
1.24
(3)
[-1.028]
86.25
(32)
[2.631]
86.52
(32)
[2.660]
59.41
(30)
[1.522]
70.16
(22)
[0.605]
31.76
(31)
[-1.856]
40.60
(30)
[-1.950]
61.24
(30)
[-1.462]
59.41
(30)
[1.950]
7.01
(23)
[0.449]
45.21
(31)
[-1.745]
20.36
(32)
[-2.136]
9.33
(27)
[0.736]
47.85
(32)
[-1.863]
51.10
(32)
[2.949]
46.25
(32)
[3.271]
70.95
(31)
[1.861]
66.10
(30)
[1.891]
40.60
(30)
[-1.950]
30.85
(31)
[-1.937]
32.95
(31)
[-1.970]
47.91
(32)
[2.727]
45.58
(31)
[-1.886]
19.24
(31)
[2.307]
54.43
(32)
[2.775]
36.40
(32)
[-2.500]
22.77
(27)
[1.031]
22.97
(32)
[-1.993]
22.58
(31)
[-1.907]
35.98
(31)
[-2.077]
37.05
(32)
[-2.311]
45.58
(30)
[-1.665]
30.81
(30)
[-2.127]
11.62
(28)
[0.955]