Research of Detection Algorithm about Rectangular Degree of Metal Parts Based on Halcon

DOI

10.2991/ammee-17.2017.60How to use a DOI?

Keywords

Halcon; Rectangular Degree; Template Matching Based On Edge; Machine Vision.

Abstract

A new approach of the rectangular degree detection of the metal parts is proposed. Our design is based on Halcon, a machine vision software, which includes key processing steps shuch as the edge contour extraction, image matching, and defect detection and so on. First, the edge is extracted according to the characteristics of the metal parts automatically. Then, the template matching based on edge is realized to measure the rectangular degree of metal parts. At last, the algorithm to detect the defects is used. The results of experiment show the improved algorithm can automatically detect the rectangular degree of metal parts, so it has a certain validity and feasibility.

Copyright

© 2017, 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  - Xin Liu
AU  - Ying Mu
AU  - Hongbin Wang
PY  - 2017/06
DA  - 2017/06
TI  - Research of Detection Algorithm about Rectangular Degree of Metal Parts Based on Halcon
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 311
EP  - 315
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.60
DO  - 10.2991/ammee-17.2017.60
ID  - Liu2017/06
ER  -