Enhancing Quantification of Inclusions in PoDFA Micrographs Through Integration of Deterministic and Deep Learning Image Analysis Algorithms

Author:

Nayak Anish K.,Zedel Hannes,Akhtar Shahid,Fritzsch Robert,Aune Ragnhild E.

Publisher

Springer Nature Switzerland

Reference10 articles.

1. “Norsk Hydro.” Accessed online: Oct. 08, 2023. Available: www.hydro.com

2. A. K. Nayak, H. Zedel, S. Akhtar, R. Fritzsch, and R. E. Aune, “Automated Image Analysis of Metallurgical Grade Samples Reinforced with Machine Learning,” 2023, pp. 890–897. https://doi.org/10.1007/978-3-031-22532-1_118

3. H. Zedel, R. Fritzsch, S. Akhtar, and R. E. Aune, “Automated Metal Cleanliness Analyzer (AMCA) – An Alternative Assessment of Metal Cleanliness in Aluminium Melts”

4. O. Ronneberger, P. Fischer, and T. Brox, “U-Net: Convolutional Networks for Biomedical Image Segmentation,” ArXiv

5. H. Zedel, R. Fritzsch, S. Akhtar, and R. E. Aune, “Automated Metal Cleanliness Analyzer (AMCA): Digital Image Analysis Phase Differentiation and Benchmarking Against PoDFA-Derived Cleanliness Data,” 2023, pp. 882–889. https://doi.org/10.1007/978-3-031-22532-1_117

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