Segmentation Studies on Al‐Si‐Mg Metallographic Images Using Various Different Deep Learning Algorithms and Loss Functions

Segmentation Studies on Al‐Si‐Mg Metallographic Images Using Various Different Deep Learning Algorithms and Loss Functions

ABSTRACT Segmenting metallographic pictures is being done in material science and related domains in order to detect the features within them. Therefore, it becomes crucial to find grains and secondary phase particles. It is necessary to label every pixel in order to obtain satisfactory segmentation...

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Bibliographic Details
Main Authors: Abeyram M. Nithin, Murukessan Perumal, M. J. Davidson, M. Srinivas, C. S. P. Rao, Katika Harikrishna, Jayant Jagtap, Abhijit Bhowmik, A. Johnson Santhosh
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Engineering Reports
Subjects:
augmentation
CNN
labeling
loss function
Unet
Online Access:https://doi.org/10.1002/eng2.70119
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