Development of an Algorithm to Detect Screw Threads in Planar Point Clouds

Kosarevsky, Sergey; Latypov, Viktor

doi:10.2478/v10048-010-0024-4

Abstract

Measurements in production must be rapid, robust and automated. In this paper a new method is proposed to automatically extract features and parameters of screw threads via Hough transformation from 2D point clouds acquired from profile measuring machines. The described method can be used to automate many operations during screw thread prealignment and drastically reduce operator's influence on the measurement process resulting in lower measurement times and increased repeatability.

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Development of an Algorithm to Detect Screw Threads in Planar Point Clouds

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