Table 5 Data comparison of different... | Emerald Publishing

Table 5

Data comparison of different algorithms in practical experiments

Noise ratio (%)	Algorithm	a	b	c	Error	σ₀/ $μ m$	$σ_{p}$ / $μ m$
5	LS	4.647e−6	3.967e−6	6121.64	1.36e−3	0.151	18.541
	WTLS	5.156e−6	3.327e−6	6132.13	3.47e−4	0.142	17.956
	RANSAC	5.079e−6	3.087e−6	6131.24	2.02e−4	0.138	17.916
	ICOOK–WTLS	4.786e−6	2.658e−6	6130.34	5.55e−5	0.125	17.892
10	LS	3.148e−6	6.757e−6	6354.52	1.50e−3	0.159	18.967
	WTLS	3.559e−6	6.047e−6	6346.11	1.75e−4	0.149	18.023
	RANSAC	3.416e−6	5.921e−6	6345.94	1.48e−4	0.144	18.386
	ICOOK–WTLS	3.466e−6	5.456e−6	6345.53	8.35e−5	0.128	17.916
15	LS	4.647e−6	7.127e−6	6357.21	1.92e−3	0.165	19.248
	WTLS	4.976e−6	6.925e−6	6346.56	2.46e−4	0.156	18.169
	RANSAC	4.906e−6	6.529e−6	6347.15	3.39e−4	0.163	19.159
	ICOOK–WTLS	4.647e−6	6.018e−6	6345.67	1.06e−4	0.134	18.012
30	LS	7.387e−6	5.256e−6	6143.32	2.17e−3	0.173	19.765
	WTLS	4.257e−6	4.586e−6	6134.78	7.80e−4	0.151	18.236
	RANSAC	4.946e−6	4.829e−6	6133.51	5.73e−4	0.155	19.516
	ICOOK–WTLS	5.134e−6	3.367e−6	6132.57	4.19e−4	0.138	18.132

Noise ratio (%)	Algorithm	a	b	c	Error	σ₀/ $μ m$	$σ_{p}$ / $μ m$
5	LS	4.647e−6	3.967e−6	6121.64	1.36e−3	0.151	18.541
	WTLS	5.156e−6	3.327e−6	6132.13	3.47e−4	0.142	17.956
	RANSAC	5.079e−6	3.087e−6	6131.24	2.02e−4	0.138	17.916
	ICOOK–WTLS	4.786e−6	2.658e−6	6130.34	5.55e−5	0.125	17.892
10	LS	3.148e−6	6.757e−6	6354.52	1.50e−3	0.159	18.967
	WTLS	3.559e−6	6.047e−6	6346.11	1.75e−4	0.149	18.023
	RANSAC	3.416e−6	5.921e−6	6345.94	1.48e−4	0.144	18.386
	ICOOK–WTLS	3.466e−6	5.456e−6	6345.53	8.35e−5	0.128	17.916
15	LS	4.647e−6	7.127e−6	6357.21	1.92e−3	0.165	19.248
	WTLS	4.976e−6	6.925e−6	6346.56	2.46e−4	0.156	18.169
	RANSAC	4.906e−6	6.529e−6	6347.15	3.39e−4	0.163	19.159
	ICOOK–WTLS	4.647e−6	6.018e−6	6345.67	1.06e−4	0.134	18.012
30	LS	7.387e−6	5.256e−6	6143.32	2.17e−3	0.173	19.765
	WTLS	4.257e−6	4.586e−6	6134.78	7.80e−4	0.151	18.236
	RANSAC	4.946e−6	4.829e−6	6133.51	5.73e−4	0.155	19.516
	ICOOK–WTLS	5.134e−6	3.367e−6	6132.57	4.19e−4	0.138	18.132