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Proceedings Paper

Edge detection of tube-type bottle image based on mathematical morphology
Author(s): Weiwei Jiang; Ping Yang; Mingming Guo
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Paper Abstract

The edge extraction is the key in the research on the application of the machine vision in the detection area. Classical edge detection algorithm's anti-noise performance is poor. The traditional morphological edge detection algorithm has good anti-noise performance, but it have a bad edge performance. In this paper, Multi-structure element morphology edge detection algorithm was used for the bottle mouth and the bottle body image edge detection.And, it was compared with classical edge detction and traditional morphological edge detection operator.The experimental results show that the gray-scale morphological edge detection algorithm is efficient, has strong anti-noise capability, improve the detection accuracy.

Paper Details

Date Published: 12 January 2012
PDF: 4 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835019 (12 January 2012); doi: 10.1117/12.920535
Show Author Affiliations
Weiwei Jiang, Hefei Univ. of Technology (China)
Ping Yang, Hefei Univ. of Technology (China)
Mingming Guo, Hefei Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)

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