Design and Research of Low-Cost and Self-Adaptive Terrestrial Laser Scanning for Indoor Measurement Based on Adaptive Indoor Measurement Scanning Strategy and Structural Characteristics Point Cloud Segmentation

Table 2

Evaluation of the point cloud segmentation.

Type of the room	Segmentation algorithm	Index	Number of point cloud cluster
			1	2	3	4	5	6
Room 1	On-boundary segmentation	Numbers	94	228	105	215	20	30
			0.9362	0.9561	0.9238	0.9805	0.8824	0.9000
			0.9671	0.9689	0.9604	0.9526	0.6818	0.7500
			0.9514	0.9625	0.9417	0.9663	0.7692	0.8182
	On-angular-distance segmentation	Numbers	88	227	105	214	27	31
			0.9545	0.9824	0.8762	0.9766	0.7407	0.7419
			0.9333	0.9696	0.9388	0.9812	0.9091	0.6389
			0.9438	0.9759	0.9064	0.9789	0.8163	0.6866
Room 2	On-boundary segmentation	Numbers	392	649	265	705	247	441
			0.6582	0.6336	0.8302	0.9062	0.3644	0.2063
			0.9314	0.50141	0.9016	0.4628	0.4348	0.5291
			0.7713	0.5598	0.8644	0.6127	0.3965	0.2969
	On-angular-distance segmentation	Numbers	278	777	362	800	221	261
			0.9389	0.9781	0.8785	0.9750	0.9638	0.7510
			0.7957	0.9596	0.9845	0.9811	0.8987	0.8167
			0.8614	0.9688	0.9285	0.9781	0.9301	0.7824