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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Vydané v:	Chinese Control Conference s. 4020 - 4025
Hlavní autori:	Wang, Yuchao, Fu, Huixuan, Lin, Dehua
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	TCCT 01.07.2016
Predmet:	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
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