Multi-scale semantic segmentation for fire smoke image based on global information and u-net

HIGHLIGHTS

• who: Yuanpan Zheng et al. from the College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China have published the paper: Multi-Scale Semantic Segmentation for Fire Smoke Image Based on Global Information and U-Net, in the Journal: Electronics 2022, 2718 of 15/08/2020
• what: __SECTION__ Conclusions.
• how: The translucent character of thin smoke at the edges results in missed segmentation and wrong segmentation Therefore to solve above issues this paper proposes a high-precision segmentation algorithm for smoke based on multi-scale features and global information of . . .
  

   

  

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