Fig. 7: Workflow of point cloud semantic segmentation. | npj Heritage Science

Fig. 7: Workflow of point cloud semantic segmentation.

From: A lightweight integrated diagnostic approach for Macao Architectural Heritage using 3D laser scanning and NDT

Fig. 7: Workflow of point cloud semantic segmentation.The alternative text for this image may have been generated using AI.

This workflow diagram, created by the authors, outlines the key stages in semantically segmenting the heritage point cloud. Rectangular boxes represent either the input/output data (the raw registered point cloud) or the core processing actions (classification, extraction). Arrows between the boxes explicitly indicate the sequential direction and logical progression of the processing steps. The workflow typically begins with the complete 3D model, proceeds through iterative classification and refinement based on geometric and material features, and results in the extraction of distinct, labeled components such as rammed earth walls, roofs, and decorative elements for targeted analysis.

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