Watershed (image processing) (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Watershed (image processing)" in English language version.

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L. Najman and M. Schmitt. Watershed of a continuous function. In Signal Processing (Special issue on Mathematical Morphology.), Vol. 38 (1994), pages 99–112
G. Bertrand. On topological watersheds. Journal of Mathematical Imaging and Vision, 22(2–3), pages 217–230 (2005).
Michel Couprie, Laurent Najman, Gilles Bertrand. Quasi-linear algorithms for the topological watershed. Journal of Mathematical Imaging and Vision, Springer Verlag, 2005, 22 (2-3), pp.231-249.
Jean Cousty, Gilles Bertrand, Laurent Najman, and Michel Couprie. Watershed cuts: thinnings, shortest-path forests and topological watersheds. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32 (5). 2010. pp. 925–939.
Laurent Najman, Michel Schmitt. Geodesic Saliency of Watershed Contours and Hierarchical Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 1996, 18 (12), pp.1163-1173.

Barnes, R., Lehman, C., Mulla, D., 2014. Priority-flood: An optimal depression-filling and watershed-labeling algorithm for digital elevation models. Computers & Geosciences 62, 117–127. doi:10.1016/j.cageo.2013.04.024
Barnes, R., Lehman, C., Mulla, D., 2014. Priority-flood: An optimal depression-filling and watershed-labeling algorithm for digital elevation models. Computers & Geosciences 62, 117–127. doi:10.1016/j.cageo.2013.04.024
Barnes, R., 2016. Parallel priority-flood depression filling for trillion cell digital elevation models on desktops or clusters. Computers & Geosciences. doi:10.1016/j.cageo.2016.07.001
Doerr, F. J. S., & Florence, A. J. (2020). A micro-XRT Image Analysis and Machine Learning Methodology for the Characterisation of Multi-Particulate Capsule Formulations. International Journal of Pharmaceutics: X, 2, 100041. https://doi.org/10.1016/j.ijpx.2020.100041

Serge Beucher and Christian Lantuéj workshop on image processing, real-time edge and motion detection (1979). http://cmm.ensmp.fr/~beucher/publi/watershed.pdf

J. Cousty, G. Bertrand, L. Najman and M. Couprie. Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle, IEEE Transactions on Pattern Analysis and Machine Intelligence 31(8) pp. 1362-1374, 2009,
Jean Cousty, Gilles Bertrand, Laurent Najman, and Michel Couprie. Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31 (8). August 2009. pp. 1362–1374.

Grady, L.: "Random walks for image segmentation". PAMI, 2006
Camille Couprie, Leo Grady, Laurent Najman and Hugues Talbot, "Power Watersheds: A Unifying Graph-Based Optimization Framework”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 7, pp. 1384-1399, July 2011

M. Couprie, G. Bertrand. Topological gray-scale watershed transform. In Proc. of SPIE Vision Geometry V, volume 3168, pages 136–146 (1997). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.3.7654&rep=rep1&type=pdf

Serge Beucher and Fernand Meyer. The morphological approach to segmentation: the watershed transformation. In Mathematical Morphology in Image Processing (Ed. E. R. Dougherty), pages 433–481 (1993).
Falcao, A.X. Stolfi, J. de Alencar Lotufo, R. : "The image foresting transform: theory, algorithms, and applications", In PAMI, 2004

Cédric Allène, Jean-Yves Audibert, Michel Couprie and Renaud Keriven : "Some links between min-cuts, optimal spanning forests and watersheds", Image and Vision Computing, 2009.