Non-contact approach to roundness measurement

Author

Mohamed, Azmi ; Esa, Abdul Halim ; Ayub, Muhammad Azmi

Author_Institution

German Malaysia Inst., Bangia, Malaysia

fYear

2011

fDate

4-6 March 2011

Firstpage

117

Lastpage

122

Abstract

In this paper, a non-contact approach to roundness measurement using machine vision is proposed. A test-rig and computer algorithm are developed to realised the approach. The computer algorithm employs minimum zone circle MZC technique to measure the roundness deviation. High contrast and good quality image segmentation is produced with the developed image processing algorithm technique. Camshaft profile is used to determine the effectiveness of the developed approach. Experimental results reveal that the developed computer algorithm coupled with minimum radial zone circle technique can be used as inspection tool for integrated in-process inspection of form tolerances.

Keywords

automatic optical inspection; camshafts; computer vision; image segmentation; production engineering computing; shape measurement; MZC technique; camshaft profile; computer algorithm; form tolerances; image processing algorithm technique; image quality; image segmentation; integrated inprocess inspection; machine vision; minimum zone circles method; roundness measurement; test rig; Camshafts; Computers; Inspection; Machine vision; Noise; Pixel; Signal processing algorithms; Roundness measurements; form tolerances; image processing; machine vision; minimum zone circle;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and its Applications (CSPA), 2011 IEEE 7th International Colloquium on

Conference_Location

Penang

Print_ISBN

978-1-61284-414-5

Type

conf

DOI

10.1109/CSPA.2011.5759855

Filename

5759855