Analysis of fuel particle size based on particle swarm fuzzy C- average clustering

DOI

10.2991/amcce-15.2015.119How to use a DOI?

Keywords

Particles; The particle swarm fuzzy C - average clustering; Distribution; morphology

Abstract

Fuel particle size and distribution is the key to energy saving of blast furnace. The fuel particle size will have influence to the highest temperature of the sintered material layer. The paper describe a method of adhesive particle image segmentation using based on particle swarm optimization fuzzy C –means clustering. It can measure particle size of fuel using OPENCV image processing real-time. Some experimental results are given which show that the algorithm has the effective ability of searching global optimal solution. It has get very good effect on particle statistics.

Copyright

© 2015, 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  - Li Wan
AU  - Yongjun Ma
AU  - Jianmin Guo
PY  - 2015/04
DA  - 2015/04
TI  - Analysis of fuel particle size based on particle swarm fuzzy C- average clustering
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 1422
EP  - 1427
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.119
DO  - 10.2991/amcce-15.2015.119
ID  - Wan2015/04
ER  -