<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Faculty of Technology, Saint-Petersburg Institute of Mechanical-Engineering, Saint-Petersburg, Russia

Faculty of Applied Mathematics and Control Processes, Saint-Petersburg State University, Saint-Petersburg, Russia

Measurement Science Review

{"article-title":"Development of an Algorithm to Detect Screw Threads in Planar Point Clouds"}

Measurements in production must be rapid, robust and automated. In this paper a new method is proposed to automatically extract features and parameters of...

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

Online veröffentlicht: 28. Okt. 2010

Seitenbereich: 136 - 141

DOI: https://doi.org/10.2478/v10048-010-0024-4

Schlüsselwörter
screw thread, Hough transformation, feature extraction

This content is open access.

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

Online veröffentlicht: 28. Okt. 2010

Seitenbereich: 136 - 141

DOI: https://doi.org/10.2478/v10048-010-0024-4

Schlüsselwörterscrew thread, Hough transformation, feature extraction

This content is open access.

Schlüsselwörter
screw thread, Hough transformation, feature extraction