The Research on Image Binarization Based on Automated Line-heating

DOI

10.2991/icmmct-16.2016.207How to use a DOI?

Keywords

Automated line-heating, image binarization, thresholding method.

Abstract

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.

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/).

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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  - 10.2991/icmmct-16.2016.207
ID  - Li2016/03
ER  -