Surface Extraction for Industrial CT Based on Surface Tracking

Abstract

To address the precision and adaptability requirements for surface extraction in industrial computed tomography (CT) reverse engineering, we proposes a subvoxel-accuracy surface reconstruction method that integrates surface tracking algorithms with analytical gradient computation. Building upon the Marching Triangles framework, our method introduces an adaptive mesh growth strategy driven by analytical curvature and enhance edge-region extraction through curvature consistency verification. We develop a dual-stage projection mechanism, utilizing gray-value coarse projection in the initial stage followed by second-order gradient refinement. Experimental results demonstrate that compared to traditional Marching Cubes methods, our approach produces higher-quality triangular meshes with reduced vertex counts. When compared with conventional threshold-based algorithms, the proposed method shows superior surface accuracy and significant advantages for industrial metrology CT applications.