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		borkojos's coocurrence&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	87.87	0.00	0.00	0.00	0.00	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	20.63	17.55	24.02	20.95	87.87	78.63	78.87	12.13	87.92	6.01	34.15	65.78	14.16	68.22	65.10	78.86	78.86	79.17	78.55	14.03
#4 - all	89.20	0.00	0.00	0.00	0.00	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	19.21	14.12	24.56	19.47	89.20	80.48	80.74	10.80	88.63	6.56	29.52	69.87	10.07	74.07	67.94	80.91	80.91	81.37	80.46	9.71
#5 - all	72.35	0.00	0.00	20.97	24.86	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	17.04	11.18	24.17	18.31	88.80	80.22	81.82	11.20	85.28	5.41	20.97	77.13	8.02	78.91	72.86	84.30	84.30	83.95	84.65	5.99
#6 - all	8.50	0.00	0.00	89.49	88.76	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	40.91	31.78	61.02	51.89	54.43	43.49	43.99	32.88	58.68	14.11	49.14	40.04	30.74	24.96	29.78	45.89	46.31	40.46	53.01	14.00
#7 - all	35.99	0.00	0.00	60.89	63.49	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	30.59	25.45	38.51	33.38	77.95	65.50	68.76	21.83	70.73	10.35	33.19	64.42	10.56	63.25	53.42	69.64	69.64	69.40	69.88	8.04
#8 - all	6.98	0.00	0.00	91.99	92.21	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	48.28	44.67	56.15	52.54	61.79	49.56	47.85	35.51	63.87	16.51	49.53	47.97	15.42	39.95	32.46	49.01	49.05	47.06	51.13	8.69
#9 - all	33.91	0.00	0.00	61.41	64.17	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	38.34	32.30	44.76	38.72	71.55	59.08	60.36	25.98	55.63	13.49	38.31	55.17	13.58	54.61	45.89	62.91	62.94	61.15	64.77	8.90
#10 - all	8.05	0.00	0.00	89.50	91.18	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	57.30	53.23	65.95	61.89	49.50	37.45	36.91	46.27	48.54	19.97	54.10	42.30	14.90	31.84	25.22	40.28	40.44	36.97	44.23	7.55
#11 - all	0.00	0.00	0.00	100.00	100.00	100.00	100.00	0.00	0.01	0.01	99.99	3.22	0.01	-6.40	2.19	0.01	48.82	37.38	65.57	54.14	52.75	37.90	41.16	40.28	53.48	16.57	43.10	52.57	14.99	35.76	28.36	44.19	44.69	38.47	51.91	6.18
#12 - all	0.00	0.00	0.00	100.00	100.00	100.00	100.00	0.00	0.00	0.00	100.00	0.15	0.00	-1.82	0.07	0.00	58.47	51.40	70.63	63.56	43.59	31.03	31.40	47.73	39.79	20.25	50.85	44.09	15.85	26.56	21.65	35.60	35.60	36.21	35.01	7.96
#6 - bark	55.50	0.00	0.00	35.33	39.75	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	32.71	28.89	38.63	34.81	75.65	63.53	65.13	23.29	69.32	10.60	36.92	59.89	12.08	63.96	55.80	71.63	71.66	73.77	69.62	7.36
#6 - flowers	23.57	0.00	0.00	73.61	75.54	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	46.20	39.48	55.22	48.49	64.87	50.06	51.16	35.13	61.95	15.05	52.40	44.88	18.30	42.10	36.47	53.45	53.52	56.29	50.88	8.86
#6 - glass	17.15	0.00	0.00	82.13	79.96	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	40.63	31.15	50.51	41.03	64.39	53.86	51.41	30.98	58.35	11.92	41.49	55.89	16.47	49.08	42.26	59.41	59.42	60.23	58.61	13.04
#6 - man-made	30.22	0.00	0.00	64.59	62.69	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	42.37	35.60	49.94	43.17	67.26	52.20	54.62	31.05	67.24	13.34	46.45	51.37	16.81	46.32	39.58	56.72	56.79	59.66	54.05	10.80
#6 - nature	15.57	0.00	0.00	81.36	83.91	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	27.17	19.73	50.47	43.03	71.59	54.00	61.41	24.09	65.34	10.73	37.37	53.51	24.10	45.56	44.61	61.69	63.55	81.17	49.76	16.30
#6 - plants	0.00	0.00	0.00	100.00	100.00	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	44.78	37.53	65.18	57.92	54.25	41.42	41.19	38.10	57.30	16.20	56.40	37.31	26.23	28.37	28.65	44.54	45.58	36.71	56.61	14.23
#6 - rock	0.00	0.00	0.00	100.00	100.00	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	41.67	35.25	50.42	44.00	71.00	54.77	56.25	29.00	69.55	13.18	45.88	52.54	16.44	45.58	38.55	55.64	55.72	58.71	52.88	7.21
#6 - stone	73.98	0.00	0.00	19.41	19.55	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	21.33	16.56	26.79	22.01	85.49	77.16	77.14	14.04	70.06	7.26	25.29	64.74	10.43	76.86	73.61	84.80	84.80	85.05	84.55	10.55
#6 - textile	58.69	0.00	0.00	35.84	34.51	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	20.35	13.92	29.89	23.46	86.12	75.46	77.87	13.88	84.41	6.79	23.64	74.88	9.44	70.65	62.00	76.54	76.63	80.50	72.95	7.17
#6 - wood	61.06	0.00	0.00	31.86	33.34	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	24.77	19.47	33.58	28.27	80.84	71.16	70.13	17.09	66.99	8.05	28.02	67.02	11.67	68.89	62.15	76.66	76.71	73.97	79.55	9.19
mean	33.93	0.00	0.00	61.92	62.70	100.00	100.00	0.00	0.00	0.00	100.00	0.17	0.00	-0.41	0.11	0.00	36.08	29.83	46.30	40.05	69.94	57.85	58.91	27.06	66.15	12.12	39.84	56.07	15.51	51.77	46.32	61.63	61.86	62.01	62.15	9.79


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