Flame Identification Algorithm Based on Improved Multi-Feature Fusion of YCbCr and Region Growth

Dandan Zhang; Guang Zhang; Xijiang Chen; Ya Ban; Xiaosa Zhao; Lexian Xu

doi:10.3788/LOP57.061022

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 6 >Page 061022 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 6, 061022 (2020)

Flame Identification Algorithm Based on Improved Multi-Feature Fusion of YCbCr and Region Growth

Dandan Zhang^1、**, Guang Zhang¹, Xijiang Chen^1、*, Ya Ban², Xiaosa Zhao¹, and Lexian Xu¹

Author Affiliations

¹School of Resource & Environment Engineering, Wuhan University of Technology, Wuhan, Hubei 430079, China;

²Chongqing Institute of Metrology and Quality Inspection, Chongqing, 401120, China

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DOI: 10.3788/LOP57.061022 Cite this Article Set citation alerts

Dandan Zhang, Guang Zhang, Xijiang Chen, Ya Ban, Xiaosa Zhao, Lexian Xu. Flame Identification Algorithm Based on Improved Multi-Feature Fusion of YCbCr and Region Growth[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061022 Copy Citation Text

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