The Prague Texture Segmentation Datagenerator and Benchmark - Result Details
optimized
for

It is possible that the resulting index maps don't correspond to the training set's indeces according to the data.xml file!
It leads to the wrong values of pixel-wise criteria as a result.


Benchmark - Colour [normal] CLresult byveselj38's Histogram ratio features (1.11)
Note: TrainImageDivisionRatio=4, SegmentedPartSize=32
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all93.590.000.000.000.0099.8899.880.100.180.2299.8233.790.20-30.414.830.2011.899.6414.3412.0993.5988.0687.926.4193.414.1723.7176.128.0482.0478.7788.1388.1387.4788.796.52
#4 - all36.070.0049.340.002.6797.7378.8917.8829.8629.2270.1421.2124.713.7214.5826.6425.5024.3945.8344.7265.7057.2055.6724.3471.6110.2145.9648.2025.9641.8442.9960.1361.1850.7473.766.97
#5 - all40.6733.5649.440.003.26100.00100.0010.5923.6510.8776.3515.0814.89-10.2717.7116.0317.167.4649.0839.3864.3257.0357.6821.2062.618.7133.7658.2325.7343.6044.2261.3263.0949.6480.189.69
#6 - all21.820.000.0072.0775.8294.7093.224.008.196.8891.8116.167.19-25.6213.427.3640.6834.2856.6950.2959.8644.6648.0434.6653.0412.9044.9250.4119.9542.5138.0855.1555.4661.6649.8916.39
#7 - all0.000.000.00100.00100.0099.0098.553.279.144.8590.8612.135.74-32.4612.036.2648.4240.1456.8448.5658.4745.2548.2935.5155.9814.4646.3549.5918.5337.8632.5949.1649.2146.8851.6611.34
#8 - all16.070.000.0081.8481.73100.00100.007.9811.6712.4388.3311.8011.89-26.986.1711.9747.4240.9953.9847.5558.4545.2848.4535.6558.6314.2542.7555.2013.5245.7736.6953.6853.6953.3054.0810.52
#9 - all16.870.000.0082.6282.3898.4598.1314.2421.5028.8178.509.7721.88-12.917.2923.4535.5725.8956.5246.8454.9946.6749.2333.7050.6512.6635.9560.5814.1945.8136.9653.9754.6163.7446.7910.71
#10 - all0.000.000.00100.00100.00100.00100.004.336.186.9093.827.986.36-29.595.706.4548.9839.7865.4156.2149.4939.0637.0840.9649.6715.4241.7955.1014.4235.8628.2144.0144.3139.3749.8711.71
#11 - all15.960.0014.3967.9061.61100.00100.008.919.9219.7690.086.8612.90-30.536.0013.8239.3530.6754.6345.9563.2451.7349.6130.6461.4812.5532.6464.5211.2646.7836.2053.1653.2250.7055.868.08
#12 - all24.9219.450.0049.6449.72100.00100.000.971.712.2698.299.151.87-46.288.061.9240.9128.1454.3541.5759.8948.9550.3529.7851.8512.8932.3563.8310.7950.4739.5056.6356.6356.9556.318.91
#6 - bark24.940.000.0071.6469.0891.1395.134.7911.455.6788.5511.247.54-22.3011.898.0337.5926.0853.0041.4967.4554.2154.2428.8360.6211.5940.3456.2517.4547.8641.7758.9358.9660.8357.1413.91
#6 - flowers0.000.000.00100.00100.0092.7095.196.0413.488.0186.5211.409.88-16.929.8010.3053.9741.1870.9258.1341.6430.4031.6844.6042.4216.8058.4837.4425.6421.9423.5438.1038.1038.0038.2112.72
#6 - glass0.000.0024.9973.3468.96100.00100.003.254.578.4695.4313.125.80-27.6212.226.1339.1226.5553.6341.0666.2151.9953.9829.3462.9611.4639.8856.8618.1045.3639.6756.8156.8255.7957.869.89
#6 - man-made9.270.000.0090.0088.7892.6784.055.199.5413.5690.4612.549.66-19.1910.8910.5538.5632.3252.4746.2366.7655.0648.6030.8268.2112.0041.7954.9019.7940.6936.2553.2253.2551.3455.2313.01
#6 - nature0.0047.070.0041.6552.0599.9399.966.267.0021.7993.0021.1810.41-22.1018.6912.2131.4020.0860.4449.1260.7344.3150.7930.8157.5612.1142.1547.8328.3735.4436.8653.8755.9173.6142.4714.55
#6 - plants25.790.000.0071.2767.93100.00100.001.122.152.0897.8515.152.11-35.339.502.1143.0337.0250.2144.2062.5951.1550.8931.7064.5012.5243.5954.7717.2043.6337.1954.2254.2253.7254.7210.19
#6 - rock0.000.000.00100.00100.0079.1576.4125.2337.1031.8362.9011.0534.0213.457.9334.2448.9443.1858.4452.6757.4545.8640.7141.0460.9314.1649.3148.7420.1634.1030.2946.4946.5248.2144.909.06
#6 - stone0.0044.600.0053.0750.8891.5984.7827.7730.3579.8969.652.8636.845.2621.2043.7428.6917.1859.2447.7355.0742.3546.3530.2749.7110.9338.0452.7725.6737.8937.6154.6655.9769.6444.9817.29
#6 - textile0.000.0020.3177.3077.8370.6273.1421.5533.1045.0766.9013.4133.594.039.3236.1146.2432.9462.4149.1151.1541.0240.5535.7953.7513.8948.3647.6623.1630.1328.8544.7844.7845.0944.4812.10
#6 - wood36.8533.100.0021.6323.2499.7799.725.736.699.2393.3122.977.75-32.258.957.8625.5720.9943.8639.2867.0358.3858.0325.4162.529.2532.1965.3914.7955.6147.8364.7165.4476.0556.3014.40
mean18.148.897.9262.7062.8095.3793.858.9613.8717.3986.1313.9413.26-19.7210.8114.2737.4528.9553.6145.1161.2049.9350.4131.0759.6012.1540.7255.2218.6443.2638.7055.0555.4856.6455.1811.40
criterionGraph
correct
over
under
missed
noise
F-measure
imageTexture mosaic (undegraded)Ground truthSegmentation
#3 - all
#4 - all
#5 - all
#6 - all
#7 - all
#8 - all
#9 - all
#10 - all
#11 - all
#12 - all
#6 - bark
#6 - flowers
#6 - glass
#6 - man-made
#6 - nature
#6 - plants
#6 - rock
#6 - stone
#6 - textile
#6 - wood