The Prague Texture Segmentation Datagenerator and Benchmark

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] CL		result by		yzan's Laws & Naive Bayes ()


set \ criterion	CS	OS	US	ME	NE	O	C	CA	CO	CC	I	II	EA	MS	RM	CI	GCE	LCE	BCE	GBCE	BGM	SC	SSC	VD	L	AVI	NVI	NMI	M	ARI	JC	DC	FMI	WI	WII	NBDE
#3 - all	96.30	0.00	0.00	0.00	0.00	100.00	100.00	27.22	27.33	28.96	72.67	0.05	28.12	27.27	0.94	28.13	6.97	4.02	9.97	7.02	96.30	92.83	92.92	3.70	96.36	2.54	14.43	85.47	4.94	88.96	86.39	92.70	92.70	92.10	93.30	3.75
#4 - all	92.19	0.00	0.00	0.00	0.00	100.00	100.00	14.64	14.95	17.48	85.05	0.08	16.12	14.76	1.30	16.17	13.34	7.93	19.18	13.78	92.19	85.50	86.16	7.81	91.54	4.46	20.05	79.43	7.10	81.89	76.57	86.73	86.73	86.06	87.41	4.30
#5 - all	81.69	0.00	0.00	9.77	16.29	100.00	100.00	31.71	32.79	36.44	67.21	0.78	34.52	32.14	1.70	34.57	13.29	9.64	19.78	16.13	91.07	83.43	85.43	8.93	89.96	4.85	18.81	79.89	7.25	80.36	74.14	85.15	85.22	88.86	81.74	3.61
#6 - all	12.25	0.00	0.00	85.13	85.80	100.00	100.00	7.63	8.28	9.57	91.72	0.11	8.88	7.82	0.59	8.90	45.70	38.38	54.33	47.01	62.76	50.26	50.25	32.05	68.47	14.20	49.44	43.88	24.09	34.22	33.41	50.09	50.10	51.06	49.16	13.76
#7 - all	77.64	0.00	0.00	16.07	12.81	100.00	100.00	15.31	16.94	16.94	83.06	0.47	16.94	15.93	0.00	16.94	21.94	19.02	27.47	24.54	83.63	76.48	73.98	15.28	76.07	8.07	25.88	72.05	7.36	75.02	65.97	79.49	79.54	76.87	82.30	5.50
#8 - all	7.78	0.00	0.00	91.99	90.83	100.00	100.00	2.17	2.95	3.73	97.05	0.18	3.30	1.72	0.51	3.32	44.15	41.20	56.05	53.10	60.19	50.47	47.40	36.04	63.95	15.72	47.15	49.28	16.59	38.35	31.68	48.12	48.33	44.00	53.10	8.71
#9 - all	15.79	0.00	0.00	82.62	83.82	100.00	100.00	15.45	15.79	16.96	84.21	0.08	16.36	15.60	0.40	16.37	43.95	37.94	55.64	49.63	57.87	49.38	45.86	36.14	48.28	15.43	43.82	49.13	16.79	43.73	36.98	53.99	54.01	52.65	55.40	8.62
#10 - all	0.00	0.00	0.00	100.00	100.00	100.00	100.00	0.09	0.11	0.55	99.89	0.17	0.19	-0.76	2.25	0.25	50.01	40.84	67.55	58.38	51.65	37.30	39.62	41.97	53.56	18.10	49.05	46.61	16.87	29.26	23.99	38.69	39.30	32.96	46.85	8.37
#11 - all	35.72	0.00	0.00	57.38	60.82	100.00	100.00	5.42	5.83	6.57	94.17	0.04	6.18	5.56	0.24	6.19	39.85	34.14	48.07	42.37	67.79	55.26	55.92	29.43	65.02	13.63	35.45	62.21	9.04	56.50	44.52	61.61	61.64	59.90	63.43	5.90
#12 - all	7.71	0.00	24.56	65.21	59.84	100.00	100.00	0.67	0.73	3.75	99.27	0.06	1.22	0.36	1.75	1.65	39.95	32.86	56.57	49.48	65.61	53.87	49.87	30.13	53.91	15.83	39.74	53.53	13.86	46.46	37.30	54.33	55.18	46.23	65.87	7.18
#6 - bark	55.26	0.00	0.00	35.33	38.89	100.00	100.00	25.48	28.29	26.50	71.71	1.37	27.37	26.66	0.82	27.38	35.79	32.12	41.40	37.73	71.57	60.13	61.96	26.69	67.37	11.60	40.40	55.77	13.32	60.89	53.13	69.39	69.40	69.90	68.90	8.90
#6 - flowers	31.70	0.00	0.00	58.64	65.36	100.00	100.00	19.69	19.80	26.20	80.20	0.05	22.55	19.73	2.63	22.77	38.61	31.51	49.95	42.84	71.73	55.27	59.05	28.27	69.42	12.69	44.20	53.48	16.79	46.98	40.26	57.41	57.47	60.30	54.78	10.08
#6 - glass	35.39	0.00	0.00	58.89	60.03	100.00	100.00	3.27	3.94	4.75	96.06	0.09	4.31	3.29	0.44	4.33	29.48	20.78	44.26	35.56	73.31	60.97	58.27	24.01	75.14	9.66	33.65	62.68	17.85	50.02	44.35	61.45	61.83	55.28	69.16	13.96
#6 - man-made	59.63	0.00	0.00	35.64	38.09	100.00	100.00	5.58	6.34	9.46	93.66	0.21	7.59	5.54	1.60	7.74	24.28	17.68	31.58	24.98	81.34	70.70	73.26	18.66	77.36	8.05	28.03	70.08	9.29	71.43	62.95	77.27	77.27	77.03	77.50	6.30
#6 - nature	24.82	0.00	0.00	73.88	70.06	100.00	100.00	0.33	2.62	0.33	97.38	0.61	0.59	-7.58	8.21	0.93	28.51	17.95	58.69	48.12	54.58	45.24	44.40	30.34	60.06	11.61	40.43	50.45	31.45	27.99	31.43	47.82	50.03	67.72	36.96	13.25
#6 - plants	0.00	0.00	0.00	100.00	100.00	100.00	100.00	1.88	3.90	2.74	96.10	1.52	3.22	-2.13	1.93	3.27	48.02	39.45	66.79	58.22	49.00	36.39	36.59	42.89	51.44	16.52	57.51	37.70	24.73	25.66	25.82	41.05	41.31	36.89	46.27	14.70
#6 - rock	0.00	0.00	23.12	71.26	69.87	100.00	100.00	1.46	5.74	1.50	94.26	1.34	2.38	-3.86	7.52	2.94	47.34	35.70	61.69	50.05	57.79	41.49	46.84	37.23	57.74	14.94	52.00	43.24	22.62	32.04	30.09	46.26	46.39	43.11	49.92	8.26
#6 - stone	50.39	0.00	0.00	48.54	47.78	100.00	100.00	2.45	5.14	2.46	94.86	0.31	3.32	2.29	2.31	3.55	19.87	13.00	35.97	29.10	75.30	68.83	67.53	19.43	65.15	7.72	26.87	66.05	12.15	71.85	67.44	80.55	80.97	89.60	73.16	15.30
#6 - textile	86.84	0.00	0.00	5.13	9.23	100.00	100.00	2.82	5.09	2.83	94.91	0.22	3.64	3.02	1.67	3.80	13.17	8.89	19.33	15.04	91.93	84.83	86.26	8.07	89.62	5.18	18.04	80.81	5.40	83.24	76.39	86.62	86.71	90.86	82.75	4.84
#6 - wood	84.33	0.00	0.00	11.00	5.91	100.00	100.00	0.25	1.74	0.28	98.26	0.95	0.48	-9.85	8.56	0.69	15.31	11.91	24.05	20.66	88.20	82.90	79.69	10.93	73.80	6.25	21.75	73.95	7.90	79.57	73.72	84.87	85.13	78.77	92.01	4.71
mean	42.77	0.00	2.38	50.32	50.77	100.00	100.00	9.18	10.42	10.90	89.58	0.44	10.36	7.88	2.27	10.49	30.98	24.75	42.42	36.19	72.19	62.08	62.06	24.40	69.71	10.85	35.33	60.78	14.27	56.22	50.83	65.18	65.46	65.01	66.50	8.50


criterion	Graph
correct
over
under
missed
noise
F-measure


image	Texture mosaic (undegraded)	Ground truth	Segmentation
#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