Segmentation type | Tightness | To deal with noise | The processing time | Application Scenarios |
---|---|---|---|---|
|
worst | difficult | fast | Large scene segmentation with a priori capability |
|
best | perfect | Depends on the number of point | High precision segmentation scene |
|
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 |
|
worst | general | It depends on the number of edges | More for image segmentation |