Threshold segmentation algorithm for infrared small target in agriculture and forestry fire

A novel image segmentation for infrared small target of agriculture and forestry fire is proposed in this paper. Usually, Maximum Variance Image Segmentation method (Otsu) is a popular non-parametric method in image segmentation. However, it needs a lot computation and has poor real-time quality. Th...

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Veröffentlicht in:	Chinese Control Conference S. 4020 - 4025
Hauptverfasser:	Wang, Yuchao, Fu, Huixuan, Lin, Dehua
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	TCCT 01.07.2016
Schlagworte:	Agriculture Clustering algorithms Computation Fire recognition Fires Forestry Image segmentation Infrared image Otsu Particle swarm optimization Signal processing algorithms Swarm intelligence Thresholds Variance
ISSN:	1934-1768
Online-Zugang:	Volltext
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