Abstract—Today, robot navigation uses navigation from
maps that have been collected from laser sensors. The quality
and usability of the received environmental grid map. This has
an evident impact on robot navigation. The more accurate the
map is a direct effect on the autonomous navigation. The
morphological operation was used to an improved map by
using opening and closing operations to reduce noise from the
original map. This paper presents an image processing
technique. In order to, robots be able to reduce the time
required for the navigation to the destination due to inaccuracy
Index Terms—Morphological, opening, closing, Hector SLAM.
The authors are with Production Engineering Department, King Mongkut’s University of Technology North Bangkok, 1518 Pracharat 1 Road, Wongsawang, Bangsue, Bangkok 10800 Thailand (e-mail: firstname.lastname@example.org, email@example.com).
Cite: W. Sirigool and R. Kesvarakul, "Particle Filter for Hector SLAM to Improve the Performance of Robot Positioning by Image Processing Based," International Journal of Machine Learning and Computing vol. 10, no. 3, pp. 490-494, 2020.Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).