Table 3.

Results of applying growth evaluation algorithm to an indoor image.

Size (pixel)	Object number	Measured diameter (mm)	Predicted diameter (mm)	Error (mm)	Error rate (%)
Small (0–22 × 22)	11	33.64	31.57	2.07	6.15
	Average	33.64	31.57	2.07	6.15
Medium (22 × 22–34 × 34)	1	35.26	33.95	1.31	3.72
	2	36.73	32.63	4.10	11.16
	3	34.23	35.14	0.91	2.66
	4	34.82	36.07	1.25	3.59
	5	36.03	36.48	0.45	1.25
	7	33.94	29.85	4.09	12.05
	8	35.03	33.45	1.58	4.51
	9	34.77	34.80	0.03	0.09
	13	34.73	35.34	0.61	1.76
	17	35.78	32.69	3.09	8.64
	18	34.02	37.33	3.31	9.73
	19	34.97	35.09	0.12	0.34
	20	34.96	33.60	1.36	3.89
	21	35.47	34.49	0.98	2.76
	22	34.55	27.03	7.52	21.77
	25	33.66	34.08	0.42	1.25
	26	34.83	36.43	1.60	4.59
	27	35.58	38.50	2.92	8.21
	29	34.52	37.99	3.47	10.05
	Average	34.94	34.47	2.05	5.90
Large(34 × 34 ~)	14	33.35	36.02	2.67	8.01
	15	35.66	37.66	2.00	5.61
	16	35.47	34.87	0.60	1.69
	23	34.60	36.14	1.54	4.45
	24	37.32	35.45	1.87	5.01
	30	34.05	37.17	3.12	9.16
	Average	35.08	36.22	1.97	5.66