Table 2.

FCM border error, precision, and recall measures for each image in the dataset

Img. ID	Border Error	Precision	Recall		Img. ID	Border Error	Precision	Recall
1	99%	1	0.635		51	99.9%	0.99	0.66
2	99.98%	1	0.65		52	132.5%	1	0.5
3	100%	1	0.62		53	69.93%	1	0.45
4	101%	1	0.54		54	100%	1	0.56
5	98%	1	0.66		55	89.47%	1	0.45
6	96%	1	0.55		56	108.13%	1	0.52
7	105%	1	0.645		57	96%	0.99	0.65
8	100%	1	0.66		58	105%	1	0.62
9	89%	1	0.7		59	100%	1	0.56
10	106%	1	0.7		60	78.32%	1	0.51
11	100%	1	0.79		61	96.82%	1	0.53
12	98%	1	0.35		62	106.83%	1	0.34
13	97%	1	0.45		63	100%	1	0.71
14	99%	1	0.76		64	103.33%	0.98	0.56
15	103%	1	0.23		65	101%	1	0.47
16	98%	1	0.63		66	96.86%	0.95	0.52
17	100%	1	0.2		67	100%	1	0.65
18	89%	1	0.54		68	106.83%	1	0.62
19	99%	1	0.33		69	99%	1	0.34
20	99.9%	1	0.67		70	106.67%	1	0.49
21	92.9%	1	0.65		71	102.3%	1	0.65
22	98%	1	0.71		72	99.9%	1	0.71
23	78.3%	1	0.56		73	123%	1	0.48
24	96.8%	1	0.45		74	105.3%	1	0.53
25	106%	1	0.5		75	103.6%	1	0.5
26	123%	1	0.65		76	98%	1	0.58
27	105.4%	1	0.56		77	106.8%	1	0.45
28	104.7%	1	0.59		78	107%	1	0.76
29	98%	0.99	0.501		79	89.3%	1	0.69
30	95%	1	0.63		80	96.8%	1	0.59
31	93.7%	1	0.34		81	100%	1	0.63
32	96.8%	1	0.49		82	102.3%	1	0.34
33	100%	1	0.53		83	103.3%	1	0.56
34	101%	1	0.43		84	100%	1	0.32
35	98%	1	0.39		85	100%	1	0.67
36	103%	1	0.65		86	89%	1	0.65
37	98%	1	0.62		87	106.6%	1	0.71
38	100%	1	0.6		88	99%	1	0.56
39	89%	1	0.46		89	106.8%	0.97	0.5
40	106.6%	1	0.48		90	118.4%	1	0.48
41	93.6%	1	0.54		91	98.3%	1	0.65
42	96.8%	1	0.59		92	99.6%	1	0.62
43	100%	1	0.57		93	122.4%	1	0.45
44	89%	1	0.63		94	100%	1	0.48
45	107%	1	0.76		95	106.6%	1	0.56
46	89.3%	1	0.64		96	93.6%	1	0.43
47	96.8%	1	0.45		97	96.8%	0.99	0.51
48	106.7%	1	0.48		98	100%	1	0.53
49	99%	1	0.56		99	89%	1	0.49
50	99.9%	1	0.59		100	107%	1	0.53