Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics

Image segmentation of Bullet appearance defects based on color model and hybrid threshold

Authors
Peng Wang, Chao-yong Guo, Hong-ning Liu
Corresponding Author
Peng Wang
Available Online April 2015.
DOI
10.2991/ameii-15.2015.242How to use a DOI?
Keywords
image segmentation; color model; OTSU algorithm; two-peak algorithm
Abstract

Aiming at the question of defect image segmentation in quality detection of bullet appearance. Through the analysis of color characteristics of bullet appearance defects and combined with OTSU algorithm and two-peak algorithm, Proposes a hybrid threshold segmentation method based on color model. The method first extracts component map R , using OTSU algorithm to segmentation high light part of the image ,and finally with two-peak algorithm to the further defect segmentation. Application of Matlab simulation results show that, this method can be successfully applied to the bullet appearance defect segmentation.

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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Volume Title
Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/ameii-15.2015.242
ISSN
2352-5401
DOI
10.2991/ameii-15.2015.242How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Peng Wang
AU  - Chao-yong Guo
AU  - Hong-ning Liu
PY  - 2015/04
DA  - 2015/04
TI  - Image segmentation of Bullet appearance defects based on color model and hybrid threshold
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1313
EP  - 1318
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.242
DO  - 10.2991/ameii-15.2015.242
ID  - Wang2015/04
ER  -