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A Review of Segmentation Technology Based on 3D Point Cloud Cover
By: Wang Xu and  Liu Baolong  
Open Access
|Apr 2021

Figures & Tables

Figure 1.

Diagram of point cloud segmentation.
Diagram of point cloud segmentation.

Figure 2.

Diagram of watershed algorithm
Diagram of watershed algorithm

Figure 3.

Regional growth diagram
Regional growth diagram

Figure 4.

Diagram of point cloud region growth
Diagram of point cloud region growth

Figure 5.

Clustering algorithm flow diagram
Clustering algorithm flow diagram

Figure 6.

Undirected graph
Undirected graph

COMPARISON OF VARIOUS SEGMENTATION ALGORITHMS

Segmentation typeTightnessTo deal with noiseThe processing timeApplication Scenarios
Edge worstdifficultfastLarge scene segmentation with a priori capability
Region bestperfectDepends on the number of pointHigh precision segmentation scene
Cluster bettersuitable for detecting some objects with special shape from the chaotic point cloudfastClustering is the division of a data set into different classes according to a particular criterion
Graph worstgeneralIt depends on the number of edgesMore for image segmentation
Language: English
Page range: 35 - 40
Published on: Apr 19, 2021
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Wang Xu, Liu Baolong, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.