Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials

The Rice Impurity Vision Inspection Method based OpenCV

Authors
Ying Hou, Guicai Wang, Zhengyi Cui
Corresponding Author
Ying Hou
Available Online November 2016.
DOI
https://doi.org/10.2991/icimm-16.2016.101How to use a DOI?
Keywords
Rice impurity; Machine vision; Grain quality
Abstract

The paper proposed a rice impurity vision inspection method based OpenCV, which was using OpenCV software development tools to significantly enhance impurity information and showing details of impurity. Secondly the paper could detect rice impurity and then improve accuracy of vision inspection by OTSU image binary method. Finally region location and detection of rice impurity would were obtained according to parameters of area for connected domains in rice impurity images. The Blob algorithm could extract those connected domains. The experimental results shown that the proposed algorithm could accurately not only detect the number but also label the location of rice impurity, which has important significance to perfect rice impurity real-time inspection technology and realize grain safety.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
Series
Advances in Engineering Research
Publication Date
November 2016
ISBN
978-94-6252-244-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/icimm-16.2016.101How to use a DOI?
Copyright
© 2016, 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  - Ying Hou
AU  - Guicai Wang
AU  - Zhengyi Cui
PY  - 2016/11
DA  - 2016/11
TI  - The Rice Impurity Vision Inspection Method based OpenCV
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 553
EP  - 558
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.101
DO  - https://doi.org/10.2991/icimm-16.2016.101
ID  - Hou2016/11
ER  -