Multi-Class Object Classification and Lo-cation of Thermal Imagery in Electric Substation

DOI

10.2991/jcis.2008.47How to use a DOI?

Keywords

object classification, object location, thermal imagery, chamfer distance, electric substation

Abstract

We present an algorithm based on chamfer matching for classification and location of thermal imagery in electric substation. We first refine the chamfer algorithm, then we present a new object class classification and location algorithm based on chamfer distance, also we analyze the object class recognition issue in thermal imagery and introduce a new solution scheme. At last we use a thermal image data set for evaluation.

Copyright

© 2008, 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/).

Download article (PDF)

TY  - CONF
AU  - Yubo Li
AU  - Hengda Cheng
AU  - Xianglong Tang
AU  - Jiafeng Liu
PY  - 2008/12
DA  - 2008/12
TI  - Multi-Class Object Classification and Lo-cation of Thermal Imagery in Electric Substation
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 278
EP  - 282
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.47
DO  - 10.2991/jcis.2008.47
ID  - Li2008/12
ER  -