XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3 1163
Köse, C., Alp, İ., &İkibaş, C. 2012. Statistical methods
for segmentation and quantification of minerals in ore
microscopy. Minerals Engineering, 30, 19–32.
Likas, A., Vlassis, N., &Verbeek, J. J. 2003. The
global k-means clustering algorithm. Pattern
recognition, 36(2), 451–461. doi: 10.1016
/S0031-3203(02)00060-2.
Ma, J., He, Y., Li, F., Han, L., You, C., &Wang,
B. 2024. Segment anything in medical images.
Nature Communications 15(1): 654. doi: 10.1038
/s41467-024-44824-z.
Mazurowski, M. A., Dong, H., Gu, H., Yang, J., Konz,
N., &Zhang, Y. 2023. Segment anything model
for medical image analysis: an experimental study.
Medical Image Analysis, 89, 102918. doi: 10.1016
/j.media.2023.102918.
Nellros, F., &Thurley, M. J. 2011. Automated image analy-
sis of iron-ore pellet structure using optical microscopy.
Minerals Engineering, 24(14), 1525–1531.
Santoro, L., Lezzerini, M., Aquino, A., Domenighini, G.,
&Pagnotta, S. 2022. A Novel Method for Evaluation
of Ore Minerals Based on Optical Microscopy and
Image Analysis: Preliminary Results. Minerals, 12(11),
1348.
Scikit-learn: Machine Learning in Python, Pedregosa et al.,
JMLR 12, pp. 2825–2830, 2011.
Tomanec, R., Cablik, V., Simovic, I., &Gacina, R. 2014.
Ore microscopy characterization as a mineral process-
ing control. Inżynieria Mineralna, 15(2), 101–106.
Köse, C., Alp, İ., &İkibaş, C. 2012. Statistical methods
for segmentation and quantification of minerals in ore
microscopy. Minerals Engineering, 30, 19–32.
Likas, A., Vlassis, N., &Verbeek, J. J. 2003. The
global k-means clustering algorithm. Pattern
recognition, 36(2), 451–461. doi: 10.1016
/S0031-3203(02)00060-2.
Ma, J., He, Y., Li, F., Han, L., You, C., &Wang,
B. 2024. Segment anything in medical images.
Nature Communications 15(1): 654. doi: 10.1038
/s41467-024-44824-z.
Mazurowski, M. A., Dong, H., Gu, H., Yang, J., Konz,
N., &Zhang, Y. 2023. Segment anything model
for medical image analysis: an experimental study.
Medical Image Analysis, 89, 102918. doi: 10.1016
/j.media.2023.102918.
Nellros, F., &Thurley, M. J. 2011. Automated image analy-
sis of iron-ore pellet structure using optical microscopy.
Minerals Engineering, 24(14), 1525–1531.
Santoro, L., Lezzerini, M., Aquino, A., Domenighini, G.,
&Pagnotta, S. 2022. A Novel Method for Evaluation
of Ore Minerals Based on Optical Microscopy and
Image Analysis: Preliminary Results. Minerals, 12(11),
1348.
Scikit-learn: Machine Learning in Python, Pedregosa et al.,
JMLR 12, pp. 2825–2830, 2011.
Tomanec, R., Cablik, V., Simovic, I., &Gacina, R. 2014.
Ore microscopy characterization as a mineral process-
ing control. Inżynieria Mineralna, 15(2), 101–106.