Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

Dynamic segmentation of aluminum wheel images based on rotation histogram

Authors
Shuhong Cheng, Bin Zhou, Shuchun Cheng, Shijun Zhang
Corresponding Author
Shuhong Cheng
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.90How to use a DOI?
Keywords
image processing; aluminum wheel; rotating projection; dynamic segmentation.
Abstract
In order to solve the problem which about the information traceability in the field of automobile wheel, a method of dynamic segment the aluminum wheel images based on rotation histogram is proposed in this paper. And in this way, we can extract the information region from the back cavity of aluminum wheel. A segmentation method of ROI is put forward which based on histogram of 360 degree rotation projection. First, the image is rotated 360 degrees, then drawing the rotation histogram with the rotate of image, and the last, the region of interest is divided according to the projection histogram in a dynamic way. Experiments show that the proposed method can meet the circle characteristic of aluminum wheel and segment the ROI. Using this method can simplify the procedure of image processing, accelerate the progress of the process, and segment the effective regions farthest.
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Proceedings
2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Part of series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-17.2017.90How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shuhong Cheng
AU  - Bin Zhou
AU  - Shuchun Cheng
AU  - Shijun Zhang
PY  - 2017/05
DA  - 2017/05
TI  - Dynamic segmentation of aluminum wheel images based on rotation histogram
BT  - 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.90
DO  - https://doi.org/10.2991/icmeit-17.2017.90
ID  - Cheng2017/05
ER  -