The Prague Texture Segmentation Datagenerator and Benchmark

The Prague Texture Segmentation Datagenerator and Benchmark - Algorithms

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The concise description of algorithms contains hyperlinks to further information (author, algorithms details, BIB entry, WWW external page).

The algorithm features are: f1 = classification (supervised segmentation), f2 = hiearchy result (manual selection), f3 = known number of regions, f4 = [reserved].

test's
EDISON
version 1.1

f1: 0
f2: 0
f3: 0
f4: 0

Ch.M. Christoudias & B. Georgescu & P. Meer: Edge Detection and Image SegmentatiON (EDISON) System

This system is a low-level feature extraction tool that integrates confidence based edge detection and mean shift based image segmentation. It was developed by the Robust Image Understanding Laboratory at Rutgers University.

List of uploaded results for 'EDISON' algorithm

benchmark	label version	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
Grayscale [normal]	EDISON 1.1	15.13	23.87	10.58	50.31	51.36	65.53	100.00	35.23	43.88	83.60	56.12	6.69	46.45	33.95	5.03	53.11	28.64	17.44	68.30	57.09	43.88	35.71	37.75	34.32	49.17	16.91	26.70	52.67	22.46	32.46	30.59	44.96	47.83	56.45	46.30	11.44
Colour [normal]	EDISON 1.1	12.68	86.91	0.00	2.48	4.68	73.17	100.00	31.19	31.55	98.09	68.45	0.24	41.29	31.13	3.21	50.29	3.55	3.44	77.11	77.00	31.55	23.11	31.19	35.37	44.44	20.23	26.13	62.00	16.84	28.00	21.64	32.51	42.66	95.06	21.85	10.49
BTF wood [exp.] [normal]	EDISON	29.25	19.68	61.32	8.20	8.10	49.92	90.00	45.29	60.40	72.74	39.60	15.38	51.74	41.81	8.47	54.98	6.78	1.92	49.17	44.32	60.40	57.62	52.64	20.90	60.93	7.19	15.24	61.98	30.58	42.08	45.03	59.53	64.55	48.66	92.33	10.36