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Figure 6.

COMPARISON OF VARIOUS SEGMENTATION ALGORITHMS
| Segmentation type | Tightness | To deal with noise | The processing time | Application Scenarios |
|---|---|---|---|---|
| Edge | worst | difficult | fast | Large scene segmentation with a priori capability |
| Region | best | perfect | Depends on the number of point | High precision segmentation scene |
| Cluster | better | suitable for detecting some objects with special shape from the chaotic point cloud | fast | Clustering is the division of a data set into different classes according to a particular criterion |
| Graph | worst | general | It depends on the number of edges | More for image segmentation |