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 (1.2)
Note: TrainImageDivisionRatio=8, SegmentedPartSize=32
set \ criterionCSOSUSMENEOCCACOCCIIIEAMSRMCIGCELCEBCEGBCEBGMSCSSCVDLAVINVINMIMARIJCDCFMIWIWIINBDE
#3 - all0.000.000.00100.00100.00100.00100.000.370.551.0999.4522.180.73-19.5212.470.7731.1017.3649.0635.3275.2960.4560.5324.7175.058.7649.7446.7330.0037.3844.0661.1761.6954.1470.2916.69
#4 - all73.710.000.0017.9216.4198.9899.0528.1429.9433.1370.0617.0131.453.122.9331.4922.5118.6326.6822.7986.8277.2276.9113.1885.906.8330.7368.6511.5870.1763.9878.0378.0478.5477.546.03
#5 - all57.600.000.0037.0137.86100.00100.000.070.120.1699.8816.380.14-43.3412.170.1428.3723.4834.6029.7275.4367.2268.4320.3370.538.5733.2063.9011.4769.5962.9377.2577.2577.9676.568.02
#6 - all0.000.000.00100.00100.00100.00100.0016.6424.1118.3775.8914.7720.85-12.4815.7221.0543.4533.7558.4748.7756.4444.5743.5234.3256.1312.9445.0646.8126.3431.7232.8549.4649.5346.8252.4114.37
#7 - all36.100.0029.1330.2516.67100.00100.006.6314.9723.9385.0312.2711.21-26.7814.8014.6428.4017.2553.2442.0964.9357.3550.4325.2053.4110.9935.2359.3118.0547.9941.7558.9160.2648.6674.6311.50
#8 - all16.310.000.0081.8479.2999.9999.993.415.659.0794.3511.516.01-38.3710.396.6441.1634.7657.2050.8061.4049.5246.7734.2156.6213.9041.6954.0416.4742.4135.1952.0652.7145.0261.7210.63
#9 - all36.0125.380.0033.2633.8794.4491.7118.2324.1436.2675.867.1426.09-5.229.3427.9927.7823.0641.7537.0370.7260.6464.0122.2857.8910.3629.4167.249.8063.6553.1469.4069.8378.0262.508.70
#10 - all0.000.000.00100.00100.00100.00100.000.801.891.1998.1111.231.45-44.044.361.5053.9744.5063.8654.3952.1540.4739.1241.8649.4415.9543.2055.3012.7637.5128.8144.7344.7344.0245.458.67
#11 - all0.007.1214.1578.1374.29100.0099.3315.4619.0021.4181.005.9619.37-18.995.0719.7843.1932.4056.4945.7057.9746.4247.4233.4557.7212.8033.3064.5210.3549.1637.9455.0155.0154.6755.347.28
#12 - all43.330.000.0050.8053.27100.00100.000.070.100.2099.909.830.14-48.737.540.1436.7330.3446.2639.8865.8154.2257.1929.5854.7311.8129.6467.517.4265.3453.3369.5669.5971.4267.806.50
#6 - bark0.000.0034.0463.7060.7298.0398.581.594.482.4395.5221.003.02-36.218.093.2230.0520.5647.0437.5571.4062.6258.2021.5258.2510.3936.1658.6716.1855.5649.3666.0966.3261.0971.9910.87
#6 - flowers44.5925.510.0044.3645.0584.2887.539.2816.2213.5483.7813.1314.40-10.046.0214.6344.6939.5751.1646.0463.5051.0951.3933.3557.3213.5047.0048.5917.6247.4641.4958.6458.6756.9160.4911.89
#6 - glass32.1124.390.0032.9932.10100.00100.001.361.983.6898.0217.492.57-35.609.582.7035.0225.5747.3337.8967.5958.4057.1224.9467.1310.6136.9461.2015.0252.2044.4061.5061.5965.0658.3112.75
#6 - man-made43.460.000.0048.8252.91100.00100.0032.0034.5937.4965.417.9835.9810.909.5936.0127.9121.0539.5832.7177.4463.9666.0820.4676.988.7830.5668.1912.4859.5950.6767.2667.4272.2162.9411.04
#6 - nature2.3351.650.0038.7342.2296.9199.0410.6515.3521.5084.658.4915.22-19.4026.6916.7427.8218.2260.0350.4251.1742.5046.3031.1156.2211.2639.2051.5827.4837.3237.8854.9457.2276.2242.9510.35
#6 - plants8.410.000.0088.7990.0499.5098.655.7110.7010.5589.3013.809.58-24.7612.1710.0852.5447.0861.3555.8955.5839.3439.9341.8257.2715.2253.0144.5022.1230.1628.1143.8843.9541.5646.4812.17
#6 - rock18.090.0016.6964.7455.3179.8080.3228.5041.2832.2458.7215.4035.9614.395.7136.3536.0728.9054.4547.2860.0350.7744.8433.2459.6911.7440.8655.7219.1541.4836.5153.4953.5650.8356.4511.71
#6 - stone0.0045.360.0053.0749.6573.8890.3820.6926.4236.8673.585.0027.772.9421.3029.6126.8416.4060.8850.4556.1441.9947.7829.4048.4411.2439.1253.0623.9341.2239.0656.1858.1875.9144.5914.25
#6 - textile17.630.000.0080.7081.2398.2497.126.4012.4210.6087.5818.4111.23-22.278.1211.3738.3128.4950.9141.0863.7850.6652.5830.8262.6211.0938.6258.7018.0644.1238.3355.4255.4757.8853.1613.63
#6 - wood0.000.000.00100.00100.00100.00100.0016.0917.8825.8782.1211.8121.10-13.8117.4221.4934.5322.8249.5637.8571.4756.8759.0226.3962.4510.3536.0559.0717.3951.4445.7562.7862.8164.7560.9213.92
mean21.488.974.7062.2661.0496.2097.0811.1015.0916.9884.9113.0414.71-19.4110.9715.3235.5227.2150.5042.1865.2553.8153.8828.6161.1911.3538.4457.6617.1848.7743.2859.7960.1961.0860.1311.05
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