Defects Detection of Sheet Metal Parts Based on HALCON and Region Morphology-Reference-Cited by-同舟云学术

Defects Detection of Sheet Metal Parts Based on HALCON and Region Morphology

Published:2013-08 Issue: Volume:365-366 Page:729-732
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Han Bao An¹,Xiang Hui Yu¹,Li Zhe¹,Huang Jia Jun¹

Affiliation:

1. Beijing Technology and Business University

Abstract

In order to realize the manufacturing defects detection of sheet metal parts, a kind of defects detection method of the sheet metal parts based on region morphology has been put forward based on HALCON using the mathematical morphology knowledge: by choosing the proper structuring element and neatly applying dilation, erosion, opening and closing on the defects images, the defect part is extracted. The experiment shows that the effect of this method is good and the calculation and processing speed is fast.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.365-366.729.pdf

Reference4 articles.

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3. Carsten Steger, Markus Ulrich, Christian Wiedemann. Machine Vision Algorithms and Applications[M]. Beijing: Tsinghua university press, 2008: 159.

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