[1]
|
A. Bieniek and A. Moga, “An Efficient Watershed Algorithm Based on Connected Conponents,” Pattern Recognition, Vol. 33, No. 6, 2000, pp. 907-916.
doi:10.1016/S0031-3203(99)00154-5
|
[2]
|
N. Malpica, C. O. Solorzano, J. J. Vaquero, et al., “Applying Watershed Algorithm to the Segmentation of Clustered Nuclei,” Cytometry, Vol. 28, No. 4, 1997, pp. 289-297. doi:10.1002/(SICI)1097-0320(19970801)28:4<289::AID-CYTO3>3.0.CO;2-7
|
[3]
|
H. Song and W. X. Wang, “A New Separation Algorithm for Overlapping Blood Cells Using Shape Analysis,” Internal Journal of Pattern Recognition and Artificial Intelligence, Vol. 23, No. 4, 2009, pp. 847-864.
doi:10.1142/S0218001409007302
|
[4]
|
K. Z. Mao, P. Zhao, T. S. Koh and P. H. Tan, “Overlapping/Touching Cell Nuclei Segmentation Based on Analysis of Perpendicular Distance Curve,” IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, 20-22 October 2003, pp. 212-213.
doi:10.1109/APBME.2003.1302659
|
[5]
|
E. Bengtsson, O. Eriksson, J. Holmquise, T. Jarkrans, B. Bordin and B. Stenkvist, “Segmentation of Cervical Cells: Detection of Overlapping Cell Nuclei,” Computer Graphics and Image Processing, Vol. 16, No. 4, 1981, pp. 382-394. doi:10.1016/0146-664X(81)90048-4
|
[6]
|
W. F. Clocksin, “Automatic Segmentation of Overlapping Nuclei with High Background Variation Using Robust Estimation and Flexible Contour Models,” 12th International Conference on Image Analysis and Processing, 2003, pp. 682-687.
|