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

Article Preview

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.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

729-732

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wang Liang, Hu Weiming, Tian Tieniu. Human Identification Based on Gait[J]. Chinese Journal of Computers, 2003. 26(3): 353-360.

Google Scholar

[2] P. SOILLE. Morphological Image Analysis. Springer-Verlag, Berlin, 2nd edition, (2003).

Google Scholar

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

Google Scholar

[4] Wu Yuanyuan. High speed sorting manipulator visual recognition technology research [D]. Wuxi:Jiangnan university,(2009).

Google Scholar