FLAME MONITORING USING IMAGE CLASSIFICATION

Daniel Sawicki

d.sawicki@pollub.pl
Lublin University of Technology, Institute of Electronics and Information Technology (Poland)

Abstract

This paper presents comparison of image classification methods for co-firing biomass and pulverized coal. Two classes of combustion – stable and unstable were defined for nine variants with different power value parameters and fixed amount biomass. Experimental results show that correct classification of images was achieved for the assumed variants.


Keywords:

flame, combustion, image classification

Abidha T. E., Mathai P. P., Divya M.: Vision Based Wildfire Detection Using Bayesian Decision Fusion Framework, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 12, 2013, 4603–4609.
  Google Scholar

Agrawal S., Verma N. K., Tamrakar P., Sircar P.: Content Based Color Image Classification using SVM, Information Technology: New Generations (ITNG), Eighth International Conference, 2011, 1090–1094.
  Google Scholar

Dao-guang L., Li-Xia L., Chang-liang L., Jing C.: Flame Furnace In Thermal Power Plant Condition Monitoring Using SVM Proceeding ICICTA'09, Proceedings of Second International Conference on Intelligent Computation Technology and Automation, Vol. 3, 2009, 67–70.
  Google Scholar

Gu Q., Song Z.: Image Classification Using SVM, KNN and Performance Comparison with Logistic Regression, CS44 Final Project Report.
  Google Scholar

Hsu Ch., Chang Ch., Lin A.: Practical Guide to Support Vector Classification. Department of Computer Science National Taiwan University, Taipei 106, Taiwan 2010.
  Google Scholar

Kotyra A., Wójcik W., Gromaszek K., Smolarz A., Jagiełło K.: Assessment of biomass-coal co-combustion on the basis of flame image, Przegląd Elektrotechniczny, 11b/2012, 295–297.
  Google Scholar

Linghu B., Sun B.: Constructing effective SVM ensembles for image classification, Knowledge Acquisition and Modeling (KAM), 3rd International Symposium, 2010, 80–83.
  Google Scholar

Wen Z., Hu Y., Zhu W.: Bayesian Classification of Halftone Image based on Region Covariance, Third International Conference on Intelligent System Design and Engineering Applications, IEEE, 2013.
  Google Scholar

Zongfang M., Yongmei Ch., Huiqin W., Najuan Y.: Research of Flame Image Recognition Algorithm Based on SVM, Information Science and Engineering (ICISE), 1st International Conference, 2009, 1399–1401.
  Google Scholar

Download


Published
2016-02-04

Cited by

Sawicki, D. (2016). FLAME MONITORING USING IMAGE CLASSIFICATION. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 6(1), 37–40. https://doi.org/10.5604/20830157.1194267

Authors

Daniel Sawicki 
d.sawicki@pollub.pl
Lublin University of Technology, Institute of Electronics and Information Technology Poland

Statistics

Abstract views: 150
PDF downloads: 58