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 (1.6)
Note: TrainImageDivisionRatio=16, SegmentedPartSize=32
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all36.020.0055.260.005.4514.4546.5650.2265.6851.9534.3215.4357.4851.2412.1358.1415.6713.3438.5236.1967.9363.4962.8619.9274.007.0540.0255.2522.9153.0755.4771.3572.2861.5584.875.42
#4 - all0.000.000.00100.00100.0098.5498.725.219.069.4090.9426.109.21-23.476.629.2227.1416.8139.5829.2581.3069.3167.9418.7080.358.0436.1962.4616.6957.9653.1769.4269.4567.5571.4110.32
#5 - all62.820.000.0025.8133.39100.00100.0021.0524.1221.9375.898.6322.96-5.929.4622.9925.4720.0134.6429.1981.8269.5372.0618.1879.087.8830.5467.4212.4266.1259.0874.2874.3878.4570.529.13
#6 - all23.200.000.0072.0769.89100.00100.000.891.502.0198.5016.081.72-32.6914.121.7440.0628.8655.1643.9764.3948.3550.6831.3056.5311.9041.4453.3120.7942.1738.6155.7155.7858.5153.1713.84
#7 - all12.6217.4636.1722.1320.54100.00100.000.360.770.7299.2315.180.69-44.3812.770.7240.4530.1758.3248.0454.7245.9745.1932.4557.6013.1842.2653.1419.6340.4435.5152.4153.0945.2062.369.62
#8 - all15.910.000.0081.8480.6897.4997.723.394.5815.1295.4212.716.27-38.158.077.7842.3934.2553.8845.7462.9051.0749.0431.5858.0513.2939.8758.0413.0748.7239.2756.3956.4354.5758.347.82
#9 - all34.240.009.6650.3352.16100.00100.006.8812.329.5987.6813.9010.48-24.725.3710.7131.6322.3347.0337.7369.7757.6259.2625.4759.1210.7730.5666.0211.8555.7045.5762.6163.0871.3055.818.91
#10 - all0.0015.0513.1365.1568.9899.7999.836.147.0911.8392.917.328.62-29.426.949.0341.5030.8057.2346.5359.4048.2948.3232.5360.5412.8334.7763.3511.3347.0736.5153.4953.6150.1157.3710.67
#11 - all17.920.0015.2260.8159.5199.4799.735.1010.7013.4689.306.958.41-30.609.149.7842.6932.5158.6648.4860.2447.3947.1733.3157.2613.7435.7461.4811.9943.9233.9750.7250.8147.8453.978.30
#12 - all9.3518.288.8157.5059.47100.00100.000.652.710.9397.298.631.13-44.517.561.4336.2824.6056.4744.7960.1048.5550.5729.9857.6412.3330.9766.4710.2149.6138.2355.3255.5761.1450.519.90
#6 - bark41.0525.0815.226.833.3598.9699.150.962.081.9497.9217.431.86-37.517.311.9332.4622.7843.0133.3368.8159.8059.7621.5364.4110.0635.0361.4614.6456.9149.5466.2666.2666.9365.608.76
#6 - flowers25.0522.2020.8020.3122.9295.9796.214.7710.798.2689.2115.638.02-30.4610.678.7336.1423.0150.4237.2966.6557.1055.5025.7161.6511.6140.4456.4615.4852.9045.6462.6762.6762.4162.9410.15
#6 - glass0.000.000.00100.00100.00100.00100.000.010.040.0299.9616.180.02-36.289.900.0245.2734.5959.7349.0451.0945.4741.5736.1652.6713.3746.5751.0219.8637.0332.7549.3449.4051.8947.0313.48
#6 - man-made66.180.000.0029.8624.4699.8699.7522.6824.5023.9675.5010.3824.212.507.9924.2220.3215.7230.1525.5583.7375.5072.1515.9675.987.1024.7272.868.8873.8765.9979.5179.6674.9984.616.85
#6 - nature64.0451.5211.9310.5315.3295.3198.9720.9125.3822.2274.6214.1523.09-9.2026.8623.4219.7012.0636.5328.8876.7565.7272.1016.1667.627.7026.7965.3615.2666.4163.4377.6278.4490.7067.8410.07
#6 - plants16.670.000.0082.4782.3599.6196.937.0412.5710.8587.4316.0811.18-23.659.8611.4041.0037.6251.2447.8760.2749.5447.5335.8163.5312.7744.4752.9419.0239.5834.5651.3751.4348.9854.0011.70
#6 - rock18.0913.530.0065.2765.2994.6693.5329.9136.2134.5963.7910.4935.1415.647.2935.2729.6720.9142.0533.2974.5962.8063.7121.2272.199.3132.4165.4613.7856.4248.1565.0065.0164.4065.618.58
#6 - stone0.0043.030.0053.0752.5398.0288.5223.6627.0841.9972.928.0730.103.2719.0331.9727.5018.9255.0246.4461.9246.1652.7127.1350.2710.1235.2355.9022.8744.5742.2859.4360.9376.2448.7012.46
#6 - textile60.4624.8221.115.1310.2999.6799.383.228.634.1691.3716.175.14-24.5212.335.7323.4414.9836.6928.2478.9569.4269.9116.5475.128.3329.0268.1711.4965.4857.1872.7672.7672.8472.687.45
#6 - wood28.760.000.0062.8671.10100.00100.0010.5212.8021.3787.2017.3515.64-18.4011.8816.3334.3827.3352.5245.4760.0248.7453.7631.2453.0310.9738.1957.7117.3550.1244.1161.2261.4066.2656.8913.47
mean26.6211.5510.3748.6049.8894.5995.7511.1814.9315.3285.0713.6414.07-19.0610.7714.5332.6624.0847.8439.2667.2756.4957.0926.0463.8310.6235.7660.7115.4852.4045.9562.3462.6263.5962.219.84
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