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 (1.15)
Note: TrainImageDivisionRatio=4, SegmentedPartSize=16
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all31.4734.970.0063.7561.3396.47100.003.474.3135.8595.6940.026.51-35.7310.7611.1931.8121.5148.9238.6257.7548.6854.4125.5267.9010.7029.0046.9326.6040.7643.8060.9160.9260.1961.6513.59
#4 - all61.2927.540.000.000.0099.56100.000.631.041.6398.9624.981.24-37.6713.611.2918.7012.8627.2621.4287.3477.6878.8411.9188.486.2524.2172.1211.2970.4563.9878.0378.0880.6775.566.01
#5 - all63.6134.080.0025.8125.7647.8180.2040.1243.5950.9956.419.7745.9315.3913.8946.5922.6110.0136.6824.0779.6571.9970.5315.3874.556.9126.7970.4813.0165.8659.5074.6174.6174.0575.188.36
#6 - all23.580.000.0072.0771.3699.66100.009.0912.3120.8987.6917.5814.83-16.0211.1215.6335.4122.6250.9038.1164.9151.3055.5027.1865.0710.9030.9656.4520.4845.5842.1059.2559.2658.0160.5414.86
#7 - all0.0012.950.0083.9986.25100.00100.000.000.000.00100.006.530.00-17.658.050.0036.6428.8665.8558.0750.2138.0539.6536.1649.9014.2533.6956.9816.5137.9331.2447.6147.8552.9043.2914.43
#8 - all33.0916.710.0063.8757.06100.00100.004.634.7735.5795.236.288.30-20.577.9612.8335.6129.4052.6346.4263.6351.5052.6129.6963.2612.9330.5562.0511.4552.3741.8659.0259.0661.2856.929.65
#9 - all0.0058.330.0033.2637.56100.00100.004.087.9817.7792.026.736.86-18.279.699.3731.1316.7864.8750.5251.2138.9144.5730.6746.9613.5331.1760.2315.7639.3031.8348.2948.9857.9341.4115.10
#10 - all0.0016.5024.9054.5655.16100.00100.000.110.340.1699.664.930.22-23.826.090.2347.9428.0269.5949.6743.1333.5935.2039.7049.4214.8134.1259.0014.4435.6028.0043.7544.0539.2449.4410.74
#11 - all11.480.000.0087.1987.43100.00100.001.771.9519.1498.055.773.36-31.427.225.9045.0933.3962.4250.7251.1941.8340.6537.5755.5414.4932.6062.0911.8538.6929.2945.3145.3847.9742.949.06
#12 - all0.000.009.4289.5690.23100.00100.008.2411.4534.3988.555.7413.46-19.476.3617.0539.0026.4262.6650.0852.6639.8044.5134.3453.2313.3730.0965.1411.2442.2231.9048.3748.9256.8942.0710.34
#6 - bark0.0023.850.0070.4576.0770.07100.0038.9547.4659.1452.544.2749.5132.3711.3851.3339.7822.5058.4441.1663.0946.9051.3330.5159.1212.0138.5053.6421.6837.7134.8451.6751.6950.5052.9015.02
#6 - flowers11.7161.480.0029.3834.24100.00100.002.933.0037.6397.002.525.41-5.608.8610.1824.0723.9264.7664.6150.8036.1447.6333.2259.7115.3031.3657.9215.2041.6832.5549.1153.1679.5935.5110.42
#6 - glass22.800.0025.8543.1744.0299.8799.902.032.2114.7897.7923.423.63-46.6811.575.5233.7123.9849.8440.1168.6756.2455.2326.0364.5410.3936.1759.7917.2050.1644.0261.1361.2857.1165.7611.62
#6 - man-made39.1922.1319.7728.9528.3795.97100.004.817.5711.3992.4316.588.95-30.708.019.2130.2122.0349.6941.5161.8653.0154.5925.8170.3510.8730.8762.9016.0946.3738.9556.0656.4263.1850.3913.61
#6 - nature0.000.0011.9587.5287.2599.91100.001.682.993.5697.0124.503.13-35.8716.263.1929.6821.0768.3859.7742.5235.6135.6436.7758.7514.0639.9348.1533.8119.8222.4736.7041.3467.9925.1315.68
#6 - plants28.250.000.0071.2764.2291.51100.0013.5320.2816.6579.7216.3118.08-13.946.8018.2736.0623.0852.1739.1962.8453.5751.0226.3665.9411.5430.0260.6315.9347.0839.7156.8456.8457.3156.3813.66
#6 - rock17.7813.900.0065.2765.9098.76100.0018.3324.6631.6475.348.2825.113.148.1726.3427.6422.9451.3946.6861.2952.1552.0028.6968.3711.0930.0564.2414.0749.2640.2157.3658.3370.1248.528.23
#6 - stone25.6843.530.0019.4124.84100.00100.001.331.3346.9398.676.112.58-26.0517.667.8926.4416.0264.6354.2150.1637.4642.5632.8450.4212.9833.7751.2627.1831.7831.2147.5750.3470.7035.8416.20
#6 - textile32.2218.830.0043.9639.66100.00100.002.782.7830.7197.226.805.09-21.579.649.2426.1417.0862.2553.1948.1342.3841.5832.8158.0713.9230.6559.2217.1438.2331.0847.4249.6467.2936.6211.09
#6 - wood54.3031.270.003.956.5899.84100.0021.6525.9023.7574.105.9724.446.2112.2924.5816.5813.9141.5438.8769.4961.3564.0720.3176.749.1623.8269.3814.0055.9447.0864.0265.9184.0051.7211.78
mean22.8220.804.5951.8752.1694.9799.009.0111.3024.6388.7012.1512.33-17.2010.2714.2931.7121.8255.2445.3559.0348.4150.6129.0762.3211.9731.4259.9317.2544.3438.2854.6555.6062.8550.3911.97
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