The Key Technical Research of Machine Vision Detection System --Based on Dimension Measurement of Thin Sheet Parts

DOI

10.2991/iccmcee-15.2015.118How to use a DOI?

Keywords

Machine vision detection; dimension of thin sheet parts; line scanning; sub pixel edge detection; planar contour primitive recognition

Abstract

This paper proposes a new detection method for accurate detection of dimension of thin sheet parts, breaks a traditional manual detection mode, comes up with a machine vision detection system, conducts research analysis of definition, application, principle and hardware structure of this detecting technique, develops a set of machine vision detection system of part dimension, further analyzes image acquisition, image processing and image recognition technology, ultimately analyzes the experiment of thin part dimension measurement and detection results, and puts forward reliability of machine vision detection for thin sheet part dimension. This paper has certain theoretical significance and application value.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dong Wang
PY  - 2015/11
DA  - 2015/11
TI  - The Key Technical Research of Machine Vision Detection System --Based on Dimension Measurement of Thin Sheet Parts
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 654
EP  - 659
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.118
DO  - 10.2991/iccmcee-15.2015.118
ID  - Wang2015/11
ER  -