The Prague Texture Segmentation Datagenerator and Benchmark - Results
optimized
for

Results are sorted by criterion 'GCE' (global consistency 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]
Filter by degradationtype: ? no Gaussian Poisson Salt&pepper Blur (Gaussian) Median
Filter by algorithm
Algorithm: Version:

   
Benchmark - Colour f1 f2 f3 f4 AVG
RANK
NORM
CS
38.91
±24.36
OS
1.48
±1.83
US
5.53
±3.66
ME
51.53
±21.24
NE
51.08
±21.02
O
44.89
±29.33
C
41.61
±26.70
CA
46.50
±25.73
CO
56.99
±25.41
CC
59.86
±24.84
I
43.01
±25.41
II
7.97
±4.44
EA
54.50
±26.13
MS
36.39
±36.30
RM
9.59
±4.94
CI
56.05
±25.73
criterion 'GCE' (global consistency error) in ascending orderGCE
28.88
±9.35
LCE
23.86
±8.27
BCE
44.02
±16.28
GBCE
39.00
±15.34
BGM
68.83
±14.00
SC
60.48
±15.31
SSC
59.02
±16.36
VD
25.09
±10.17
L
65.65
±14.71
AVI
10.59
±3.59
NVI
35.02
±12.05
NMI
58.39
±15.84
M
17.61
±8.60
ARI
52.36
±19.85
JC
50.02
±17.40
DC
63.55
±14.43
FMI
64.32
±13.90
WI
60.11
±16.90
WII
70.17
±10.34
NBDE
9.23
±3.22
 1.  v-andrearczyk's FCNT sup.  [normal] CL 1 0 1 0  95.98 
 (1.17) 
 [1.943] 
96.01
(1)
[2.344]
1.56
(7)
[0.042]
1.20
(1)
[-1.185]
0.78
(1)
[-2.390]
0.89
(1)
[-2.388]
2.71
(1)
[-1.438]
2.29
(1)
[-1.473]
93.95
(1)
[1.844]
96.73
(1)
[1.564]
97.02
(1)
[1.496]
3.27
(1)
[-1.564]
0.68
(1)
[-1.643]
96.68
(1)
[1.614]
95.10
(1)
[1.617]
0.86
(1)
[-1.765]
96.77
(1)
[1.582]
5.55
(1)
[-2.494]
3.75
(1)
[-2.431]
7.69
(1)
[-2.231]
5.89
(1)
[-2.158]
96.81
(1)
[1.998]
94.16
(1)
[2.200]
94.03
(1)
[2.140]
3.06
(1)
[-2.166]
94.69
(1)
[1.974]
2.27
(1)
[-2.316]
7.56
(1)
[-2.279]
91.69
(1)
[2.101]
1.96
(1)
[-1.819]
93.84
(1)
[2.089]
90.74
(1)
[2.341]
95.10
(1)
[2.187]
95.11
(1)
[2.215]
94.77
(1)
[2.051]
95.46
(1)
[2.445]
1.32
(1)
[-2.458]
 2.  hadacmar's CoOccurenceFeatures  [normal] CL 1 0 1 0  76.32 
 (2.14) 
 [0.702] 
52.48
(2)
[0.557]
0.00
(1)
[-0.808]
1.94
(3)
[-0.982]
41.55
(2)
[-0.470]
40.97
(2)
[-0.481]
20.74
(3)
[-0.823]
22.10
(3)
[-0.731]
67.01
(2)
[0.797]
77.86
(2)
[0.821]
78.34
(3)
[0.744]
22.14
(2)
[-0.821]
4.40
(2)
[-0.805]
76.21
(2)
[0.831]
66.79
(2)
[0.837]
4.47
(2)
[-1.034]
77.05
(2)
[0.816]
23.93
(2)
[-0.528]
19.69
(2)
[-0.503]
33.50
(2)
[-0.646]
29.26
(2)
[-0.635]
79.35
(2)
[0.751]
71.06
(2)
[0.691]
69.71
(2)
[0.653]
17.86
(2)
[-0.711]
75.22
(3)
[0.651]
8.41
(2)
[-0.605]
27.51
(2)
[-0.623]
68.94
(2)
[0.666]
10.62
(2)
[-0.812]
67.19
(2)
[0.747]
60.90
(2)
[0.625]
73.94
(2)
[0.720]
74.22
(2)
[0.712]
71.09
(2)
[0.650]
77.92
(2)
[0.749]
8.50
(3)
[-0.225]
 3.  munozfab's MRF Gibbs sampler  [normal] 1 0 1 0  74.28 
 (3.06) 
 [0.516] 
46.11
(3)
[0.295]
0.81
(5)
[-0.364]
4.18
(5)
[-0.371]
44.82
(3)
[-0.316]
45.29
(3)
[-0.276]
14.52
(2)
[-1.036]
16.77
(2)
[-0.930]
65.42
(3)
[0.735]
76.19
(3)
[0.756]
80.30
(2)
[0.823]
23.81
(3)
[-0.756]
4.82
(3)
[-0.711]
75.40
(3)
[0.800]
64.29
(3)
[0.769]
6.43
(3)
[-0.638]
76.69
(3)
[0.802]
25.78
(3)
[-0.331]
20.68
(3)
[-0.383]
36.67
(3)
[-0.451]
31.58
(3)
[-0.484]
76.19
(3)
[0.526]
66.99
(3)
[0.426]
66.85
(3)
[0.479]
20.35
(3)
[-0.466]
76.15
(2)
[0.714]
8.84
(3)
[-0.488]
29.20
(3)
[-0.483]
67.43
(3)
[0.570]
13.25
(3)
[-0.507]
60.58
(3)
[0.414]
54.85
(3)
[0.278]
69.05
(3)
[0.381]
69.41
(3)
[0.366]
68.59
(3)
[0.502]
70.97
(3)
[0.077]
9.62
(5)
[0.122]
 4.  yzan's Laws & Naive Bayes   [normal] CL 1 0 1 0  52.49 
 (5.39) 
 [-0.418] 
42.19
(4)
[0.134]
0.00
(1)
[-0.808]
2.41
(4)
[-0.853]
51.41
(4)
[-0.005]
51.41
(4)
[0.016]
97.97
(9)
[1.810]
98.38
(9)
[2.126]
2.69
(9)
[-1.702]
4.97
(9)
[-2.047]
6.86
(9)
[-2.133]
95.03
(9)
[2.047]
15.57
(9)
[1.711]
4.80
(9)
[-1.902]
-34.39
(9)
[-1.950]
12.79
(7)
[0.649]
5.29
(9)
[-1.973]
30.12
(4)
[0.133]
23.82
(4)
[-0.004]
41.73
(4)
[-0.141]
35.43
(4)
[-0.233]
72.58
(5)
[0.268]
62.64
(4)
[0.141]
62.66
(4)
[0.223]
23.85
(4)
[-0.123]
70.30
(4)
[0.316]
10.49
(4)
[-0.027]
33.98
(4)
[-0.086]
62.06
(4)
[0.231]
14.07
(4)
[-0.412]
56.97
(4)
[0.232]
51.54
(4)
[0.088]
65.80
(4)
[0.156]
66.11
(4)
[0.128]
65.48
(4)
[0.318]
67.35
(5)
[-0.273]
7.64
(2)
[-0.492]
 5.  borkojos's cooccurence&naive bayes   [normal] CL 1 0 1 0  69.38 
 (4.47) 
 [0.251] 
39.12
(5)
[0.008]
0.00
(1)
[-0.808]
1.92
(2)
[-0.987]
54.14
(5)
[0.123]
54.79
(5)
[0.176]
26.75
(4)
[-0.618]
29.46
(4)
[-0.455]
59.27
(4)
[0.496]
70.76
(4)
[0.542]
75.10
(4)
[0.613]
29.24
(4)
[-0.542]
4.85
(4)
[-0.703]
70.29
(4)
[0.604]
56.14
(4)
[0.544]
6.65
(4)
[-0.594]
71.51
(4)
[0.600]
32.19
(5)
[0.354]
25.91
(5)
[0.248]
42.77
(5)
[-0.077]
36.48
(5)
[-0.164]
72.83
(4)
[0.286]
61.79
(5)
[0.085]
62.21
(5)
[0.195]
24.01
(5)
[-0.107]
69.08
(5)
[0.233]
10.89
(5)
[0.084]
35.76
(5)
[0.062]
60.31
(5)
[0.121]
14.22
(5)
[-0.394]
56.17
(5)
[0.192]
50.26
(5)
[0.014]
65.23
(5)
[0.117]
65.48
(5)
[0.083]
64.84
(5)
[0.280]
66.61
(6)
[-0.345]
9.39
(4)
[0.050]
 6.  leskajur's LFM + kNN   [normal] CL 1 0 1 0  55.02 
 (6.75) 
 [-0.651] 
26.00
(6)
[-0.530]
5.01
(9)
[1.928]
9.42
(6)
[1.061]
60.96
(7)
[0.444]
59.65
(7)
[0.407]
66.89
(7)
[0.750]
60.33
(8)
[0.701]
31.40
(7)
[-0.587]
43.31
(7)
[-0.538]
48.73
(8)
[-0.448]
56.69
(7)
[0.538]
11.45
(7)
[0.784]
39.22
(7)
[-0.584]
14.96
(7)
[-0.590]
13.51
(8)
[0.793]
41.76
(7)
[-0.555]
33.27
(6)
[0.470]
27.61
(6)
[0.454]
54.71
(6)
[0.656]
49.05
(6)
[0.655]
59.22
(7)
[-0.687]
50.90
(7)
[-0.625]
48.17
(6)
[-0.663]
30.99
(6)
[0.579]
54.01
(7)
[-0.791]
12.73
(6)
[0.597]
41.80
(6)
[0.563]
48.43
(6)
[-0.629]
23.69
(7)
[0.706]
39.50
(7)
[-0.648]
39.26
(7)
[-0.618]
54.30
(7)
[-0.641]
55.74
(7)
[-0.618]
47.16
(7)
[-0.766]
67.36
(4)
[-0.272]
10.97
(7)
[0.541]
 7.  luptarad's laws masks & kNN 1.0  [normal] CL 1 0 1 0  57.44 
 (6.28) 
 [-0.524] 
24.57
(7)
[-0.589]
4.40
(8)
[1.594]
9.46
(7)
[1.071]
58.04
(6)
[0.307]
55.34
(6)
[0.203]
51.04
(5)
[0.210]
47.53
(6)
[0.222]
36.75
(5)
[-0.379]
49.97
(6)
[-0.276]
51.28
(6)
[-0.345]
50.03
(6)
[0.276]
7.75
(5)
[-0.051]
45.09
(6)
[-0.360]
24.95
(6)
[-0.315]
11.67
(5)
[0.421]
47.24
(6)
[-0.343]
33.82
(7)
[0.528]
28.69
(7)
[0.584]
54.77
(7)
[0.660]
49.64
(7)
[0.694]
59.71
(6)
[-0.651]
51.67
(6)
[-0.575]
48.01
(7)
[-0.673]
31.26
(7)
[0.606]
55.09
(6)
[-0.718]
13.10
(7)
[0.700]
43.21
(7)
[0.680]
47.59
(7)
[-0.682]
22.73
(6)
[0.595]
41.16
(6)
[-0.564]
39.98
(6)
[-0.577]
54.99
(6)
[-0.593]
56.46
(6)
[-0.565]
49.53
(6)
[-0.626]
66.56
(7)
[-0.349]
10.40
(6)
[0.365]
 8.  jirkujak's LBP 3,1  [normal] CL 1 0 1 0  48.96 
 (8.17) 
 [-1.009] 
12.16
(8)
[-1.098]
0.00
(1)
[-0.808]
9.67
(9)
[1.130]
75.55
(8)
[1.131]
74.24
(8)
[1.102]
72.24
(8)
[0.933]
51.36
(7)
[0.365]
26.31
(8)
[-0.784]
40.38
(8)
[-0.654]
51.72
(5)
[-0.327]
59.62
(8)
[0.654]
10.11
(6)
[0.482]
35.36
(8)
[-0.733]
10.56
(8)
[-0.711]
17.37
(9)
[1.573]
39.04
(8)
[-0.661]
37.54
(8)
[0.927]
31.64
(8)
[0.940]
63.95
(9)
[1.224]
58.04
(9)
[1.241]
50.06
(9)
[-1.340]
41.51
(9)
[-1.239]
38.46
(9)
[-1.257]
37.57
(9)
[1.227]
45.85
(9)
[-1.346]
14.95
(9)
[1.216]
50.03
(9)
[1.246]
36.86
(9)
[-1.359]
30.94
(9)
[1.549]
24.97
(9)
[-1.380]
29.64
(9)
[-1.171]
44.62
(9)
[-1.312]
46.39
(9)
[-1.290]
36.80
(9)
[-1.379]
59.78
(8)
[-1.005]
12.95
(9)
[1.158]
 9.  guloleg's HOG  [normal] 1 0 1 0  53.15 
 (7.42) 
 [-0.810] 
11.59
(9)
[-1.122]
1.54
(6)
[0.032]
9.62
(8)
[1.115]
76.51
(9)
[1.176]
77.17
(9)
[1.241]
51.11
(6)
[0.212]
46.26
(5)
[0.174]
35.67
(6)
[-0.421]
52.72
(5)
[-0.168]
49.37
(7)
[-0.422]
47.28
(5)
[0.168]
12.13
(8)
[0.936]
47.43
(5)
[-0.271]
29.09
(5)
[-0.201]
12.53
(6)
[0.595]
49.14
(5)
[-0.269]
37.69
(9)
[0.942]
32.92
(9)
[1.096]
60.40
(8)
[1.006]
55.62
(8)
[1.084]
52.72
(8)
[-1.150]
43.59
(8)
[-1.103]
41.08
(8)
[-1.097]
36.90
(8)
[1.161]
50.46
(8)
[-1.032]
13.59
(8)
[0.837]
46.09
(8)
[0.919]
42.23
(8)
[-1.020]
27.03
(8)
[1.094]
30.87
(8)
[-1.083]
33.00
(8)
[-0.978]
48.91
(8)
[-1.015]
49.98
(8)
[-1.031]
42.69
(8)
[-1.031]
59.55
(9)
[-1.027]
12.24
(8)
[0.938]