Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models

Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models

Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision.  There are many promine...

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Bibliographic Details
Main Authors: von Koch, Christian, Anzén, William
Format: Others
Language:English
Published: Linköpings universitet, Datorseende 2021
Subjects:
deep learning
deep neural network
computer vision
image segmentation
iron ore pelletising plant
furnace slag-detection
U-Net
PSPNet
Computer Vision and Robotics (Autonomous Systems)
Datorseende och robotik (autonoma system)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177269

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177269

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