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		LiRa's == ()


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	28.80	67.56	0.00	0.00	3.07	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	2.82	2.82	48.23	48.23	65.06	51.86	64.82	18.55	77.97	9.34	18.58	67.63	17.33	55.68	48.78	65.58	69.61	98.69	49.10	14.58
#4 - all	17.50	41.43	0.00	34.81	34.81	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	17.29	13.34	64.80	60.84	50.62	38.61	46.07	30.62	63.63	14.94	26.89	55.90	20.21	36.67	30.56	46.81	50.99	77.53	33.53	13.35
#5 - all	58.93	47.08	0.00	0.00	1.95	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	4.17	4.11	25.37	25.31	81.72	74.75	80.49	10.39	91.07	4.60	12.45	83.31	8.53	75.03	67.02	80.25	81.54	97.53	68.17	8.03
#6 - all	19.99	0.00	14.30	64.46	62.60	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	27.02	19.81	56.21	49.00	55.88	45.23	48.04	27.95	66.86	13.04	25.94	58.70	21.40	33.80	30.08	46.25	47.58	60.49	37.43	12.63
#7 - all	57.27	16.12	0.00	38.14	40.98	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	21.16	12.53	29.82	21.18	79.94	74.30	73.85	14.90	71.68	7.26	16.34	75.95	5.93	79.42	70.96	83.01	83.01	82.50	83.53	6.67
#8 - all	48.48	51.49	21.10	22.25	24.62	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	23.21	12.35	39.51	28.64	73.76	65.23	65.42	17.90	66.68	8.66	17.75	72.96	8.25	68.63	58.08	73.48	73.65	68.80	78.85	6.13
#9 - all	24.25	63.01	0.00	28.18	26.06	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	18.39	16.36	52.51	50.48	62.85	48.19	58.77	23.64	62.22	12.29	20.65	67.88	10.65	57.92	46.89	63.85	65.26	80.53	52.89	8.14
#10 - all	8.49	16.04	0.00	72.47	74.99	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	30.47	25.17	62.19	56.90	52.55	40.69	46.04	32.74	57.86	15.32	25.11	64.03	9.37	45.05	33.30	49.96	51.14	63.55	41.16	6.92
#11 - all	33.98	31.81	14.64	21.07	23.38	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	25.86	14.85	44.59	33.57	68.40	59.33	61.78	21.01	73.01	9.98	20.14	74.07	7.33	61.83	49.16	65.92	66.05	70.37	62.00	5.17
#12 - all	18.39	6.88	35.16	45.71	45.89	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	33.76	19.11	57.33	42.68	58.46	50.79	47.87	28.02	51.40	12.55	24.97	64.27	13.53	46.10	36.83	53.83	54.42	46.96	63.05	8.95
#6 - bark	25.22	77.94	12.56	0.00	5.10	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	17.19	11.41	53.66	47.88	56.75	47.53	54.57	25.22	65.82	11.49	21.51	65.99	12.65	56.54	46.59	63.57	65.87	86.18	50.36	7.60
#6 - flowers	29.33	58.52	0.00	33.94	34.35	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	29.76	25.72	58.49	54.45	54.03	40.99	48.40	30.40	62.49	14.19	27.17	57.76	15.77	44.05	35.97	52.91	54.41	69.02	42.90	10.37
#6 - glass	44.47	28.31	0.00	47.44	44.85	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	29.73	19.10	44.84	34.21	66.96	57.26	61.40	21.57	66.97	10.73	21.35	63.05	12.51	60.64	52.00	68.42	68.47	71.15	65.90	13.35
#6 - man-made	9.97	66.97	0.00	8.03	20.54	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	14.67	12.45	57.99	55.78	59.64	44.23	56.45	25.45	75.22	13.12	22.84	65.47	14.31	43.43	33.43	50.11	55.22	86.41	35.29	10.70
#6 - nature	7.14	62.96	25.07	7.62	5.71	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	22.83	10.43	64.64	52.25	51.41	41.31	44.31	28.19	52.26	13.00	29.24	50.91	31.52	26.88	29.31	45.34	48.45	70.05	33.51	11.55
#6 - plants	0.00	34.90	0.00	59.21	64.86	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	21.27	18.62	58.87	56.22	58.52	43.83	52.45	27.96	71.52	14.81	24.57	60.91	14.69	40.56	31.71	48.16	50.71	70.11	36.67	11.31
#6 - rock	14.78	77.70	0.00	0.00	9.52	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	11.18	10.13	57.15	56.10	56.10	44.18	54.38	25.88	73.80	11.30	21.38	69.30	12.54	49.19	38.12	55.19	60.05	91.07	39.60	6.49
#6 - stone	58.41	32.04	6.74	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	7.42	3.73	27.46	23.77	81.33	74.25	79.06	10.80	79.03	5.45	14.17	77.70	8.44	80.42	76.12	86.44	86.93	96.64	78.19	13.26
#6 - textile	21.66	18.32	0.00	55.14	57.33	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	32.27	16.79	59.05	43.56	54.42	45.91	46.42	29.31	61.94	13.65	25.03	56.78	20.57	35.92	32.22	48.74	48.81	51.44	46.31	12.41
#6 - wood	67.42	25.33	0.00	3.95	3.29	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	8.83	5.96	27.96	25.09	78.20	73.94	75.08	13.23	71.77	6.28	13.08	78.43	6.24	82.33	75.98	86.35	86.48	91.23	81.97	6.85
mean	29.72	41.22	6.48	27.12	29.19	100.00	100.00	0.00	0.00	0.00	100.00	0.00	0.00	0.00	0.00	0.00	19.97	13.74	49.53	43.31	63.33	53.12	58.28	23.19	68.16	11.10	21.46	66.55	13.59	54.00	46.16	61.71	63.43	76.51	54.02	9.72


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