The Research on Image Binarization Based on Automated Line-heating
Hao Li, Jianhua Yang, Wei Lu
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.207How to use a DOI?
- Automated line-heating, image binarization, thresholding method.
- In this paper, a thresholding algorithm combining local and global region is proposed in order to perfect the vision of line-heating robot, segment foreground objects and background accurately, eliminate environment effects. The thresholding method combines the advantages of both local and global threshold algorithm. First, we detect the edge region of foreground objects with Canny operator and get the gray-level histogram of edge region. Next, according to the gray-level histogram, we calculate a segment threshold with OTSU method. Finally, the gray image is converted into binary image according to the segment threshold. The experimental results show that the thresholding method combining local and global region is effective on segmenting foreground objects and background. Our method could insure the shape integrity of foreground objects as well.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hao Li AU - Jianhua Yang AU - Wei Lu PY - 2016/03 DA - 2016/03 TI - The Research on Image Binarization Based on Automated Line-heating BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 1043 EP - 1048 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.207 DO - https://doi.org/10.2991/icmmct-16.2016.207 ID - Li2016/03 ER -