However, the environment adaptability of the traditional smoke segmentation algorithms based on motion and color analysis still needs to be promoted. In this research, a model based on conditional generative adversarial networks (cGAN) is designed to automatically segment smoke regions from successive ...
This segmentation is also important to the subsequent processes of detection. This paper proposes a novel method of segmenting a smoke region in smoke pixel classification based on saliency detection. A salient smoke detection model based on color and motion features is used. First, smoke regions ...
segmentation using the U-Net Model with an IOU metric of 0.5 andaccuracy of 94% which leads to the detection of exact patches where the smoke plume ... A Balasundaram,A Shaik,JK Banga,... - 《Computers Materials & Continua》 被引量: 0发表: 2024年 Forest smoke detection based on deep...
Forests are invaluable resources, and fire is a natural process that is considered an integral part of the forest ecosystem. Although fire offers several ecological benefits, its frequent occurrence in different parts of the world has raised concerns in
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet 2023, Plant Phenomics Forest Fire Segmentation from Aerial Imagery Data Using an Improved Instance Segmentation Model 2022, Remote Sensing View all citing articles on Scopus1...
Park KM, Bae CO (2020) Smoke detection in ship engine rooms based on video images. IET Image Process 14(6):1141–1149 Article Google Scholar Park MJ, Ko BC (2020) Two-step real-time night-time fire detection in an urban environment using static ELASTIC-YOLOv3 and temporal fire-tube....
However, the environment adaptability of the traditional smoke segmentation algorithms based on motion and color analysis still needs to be promoted. In this research, a model based on conditional generative adversarial networks (cGAN) is designed to automatically segment smoke regions from successive ...
(46.7 million). Some of the important contributions in the field were based on fine tuning of deep learning models that were pretrained for general image classification tasks. These models were developed using standard networks like VGG16 (Simonyan and Zisserman2014), EfficientNet (Tan and Le2019...
In: Joint Conference of International Conference on Information, Communications and Signal Processing, and Pacific Rim Conference on Multimedia, vol. 2, pp. 738–742 (2003) Zhang, J., Hu, J.: Image segmentation based on 2D Otsu method with histogram analysis. In: Proceedings of International ...
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