Earticle

초록

영어

Industrial furnace flame detection is directly related to the safety and economic operation of boiler. The flame edge detection is one of the most key parts of the flame detection. At present, there are many edge detection algorithms for normal object but few for industrial flame edge detection which cannot provide fully support for furnace flame combustion stability, flame 3D reconstruction and flame temperature field reconstruction. One new industrial flame image edge detection algorithm based on industrial flame image characteristics is proposed in this paper. This algorithm can effectively remove noise level in flame image and well maintain flame image edge features, compute the gradients from multiple-directions for entirely detecting flame edge information. Moreover, this algorithm is verified by experiment in this paper to present high performance in resisting noise, and clearly see continuous flame edge curve, which reveals better effect in industrial flame edge detection than other edge detection algorithms.

목차

Abstract
 1. Introduction
 2. Industrial Flame Edge Detection Algorithm Based on Gray Dominant Filtering
  2.1. Industrial Flame Image Filtering
  2.2. Industrial Flame Image Edge Detection
 3. Experimental Results
  3.1. Filtering Experiment
  3.3. Flame Image Edge Detection Experiment
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Zhenhua Wei [ (North China Electric Power University, School of Control and Computer Engineering, No.2,Road Beinong, Huilongguan Town, Changping District, Beijing, China,102206) ]
• Jianqiang Qiao [ (North China Electric Power University, School of Control and Computer Engineering, No.2,Road Beinong, Huilongguan Town, Changping District, Beijing, China,102206) ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605