Color Features Description and Extraction of Flame Image Segmented Region of Early Fire in Large Space

Ai Min Hu

doi:10.4028/www.scientific.net/AMR.706-708.1862

Paper Titles

An ASP Based Approach of Inter-Domain Role Mapping
p.1843

A New Algorithm of Design of Fixturing Scheme Based on RBR and CBR
p.1847

A Fast Convex Hull Algorithm of Planar Point Set
p.1852

Button Cell Characterization Testing Technology Research Based on Computer Vision
p.1856

Color Features Description and Extraction of Flame Image Segmented Region of Early Fire in Large Space
p.1862

Damaged Ship Anti-Flooding Decision Plan Intelligent Generation System Based on Petri Net and Heuristic Color Genetic Algorithm
p.1866

Design of the Post-Processor for Rotors Dynamics Based on the STEP Standard
p.1871

Human Face Detection Method Based on Skin Color Model
p.1877

A Face Detection Method Based on Log-Gabor Filters
p.1882

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 706-708Color Features Description and Extraction of Flame...

Color Features Description and Extraction of Flame Image Segmented Region of Early Fire in Large Space

Abstract:

It is very important to detect the early fire in large space to protect human life and property security. In this paper, color features description and analysis of the segmented flame image are carried out to extract a varity of quantitative feature descriptors of flame region based on the detection results of flame video image. The experimental results show that the color features can improve the effectiveness and robustness of flame recognition system. Furthermore, it can reduce the false alarm rate in the fire recognition system.