Lee, Y Park, S Jun, Y Choi, WC 2024-01-21T07:37:36Z 2024-01-21T07:37:36Z 2021-09-02 2004-02 0268-3768 https://pubs.kist.re.kr/handle/201004/137895 In reverse engineering, segmentation is used to divide a point data set into subsequent regions according to its shape. It is vital for interpretation of discrete scanned data since surface reconstruction can be accomplished one-by-one on a given region. Edge detection is crucial to the segmentation process. The level of edge detection depends on the complexity of the part, and it determines the eventual success or failure of the reverse engineering (RE) process. This paper proposes a novel approach to the edge detection of 3D points based on a region growing technique. The proposed algorithm consists of two parts. First, polygonal meshes are generated to the scanned point data using the Delaunay triangulation algorithm. Second, the normal vector and the area of a polygonal mesh are checked to find boundary meshes using cost criteria (angle criterion and area criterion) based upon a region growing technique. The region growing technique aggregates meshes into a region until the area of aggregated meshes reaches an area threshold from a series of seed meshes. The proposed edge detection method is found to be effective when compared with other methods. English SPRINGER LONDON LTD SURFACE APPROXIMATION SEGMENTATION A robust approach to edge detection of scanned point data Article 10.1007/s00170-003-1695-x 1 INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, v.23, no.3-4, pp.263 - 271 INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 23 3-4 263 271 scie scopus 000188765000016 2-s2.0-1542503711 Automation & Control Systems Engineering, Manufacturing Automation & Control Systems Engineering Article SURFACE APPROXIMATION SEGMENTATION reverse engineering edge detection cost criteria region-growing