FGL-GAN: Global-Local Mask Generative Adversarial Network for Flame Image Composition

FGL-GAN: Global-Local Mask Generative Adversarial Network for Flame Image Composition

It is important to reduce the danger of collecting flame image data sets by compositing flame images by computer. In this paper, a Global-Local mask Generative Adversarial Network (FGL-GAN) is proposed to address the current status of low quality composite flame images. First, FGL-GAN adopts a hiera...

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Bibliographic Details
Main Authors: Kui Qin, Xinguo Hou, Zhengjun Yan, Feng Zhou, Leping Bu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
composite flame image
generative adversarial networks
Global-Local
fire mask
data augmentation
Online Access:https://www.mdpi.com/1424-8220/22/17/6332

Internet

https://www.mdpi.com/1424-8220/22/17/6332

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