Metal frame thickness automatic measurement method based on three-dimensional point cloud data

By generating three-dimensional point cloud data, using normal vectors for edge enhancement and defect identification, and combining Euclidean space clustering and thickness point pair matching, the problem of inaccurate thickness measurement of tiny structures and surface defects in metal frames is solved, and high-precision thickness measurement is achieved.

CN120672999APending Publication Date: 2025-09-19JIANGSU LANGKE INTELLIGENT IND TECH CO LTD
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Patent Information

Application Number
CN202510801052.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-16
Publication Date
2025-09-19

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Abstract

The invention discloses a metal frame thickness automatic measurement method based on three-dimensional point cloud data, and relates to the technical field of industrial detection, and the method comprises the steps: selecting an initial thickness point pair from an edge point set through a normal vector, building a reference plane based on each point in the initial thickness point pair, and carrying out the measurement of the thickness of a metal frame; selecting thickness point pairs satisfying direction consistency and distance constraint in a reference plane neighborhood to form a thickness point pair set; and calculating the linear distance between each thickness point pair by using the Euclidean distance, generating the thickness value of the metal frame, and carrying out statistical analysis to obtain the thickness measurement evaluation of the metal frame. According to the invention, edge enhancement processing is carried out on the three-dimensional point cloud data by using the normal vector, refined extraction and topological connection of the edge structure of the metal frame are realized, and continuity and accuracy of edge information are improved.
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