An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms

Luis Rueda. An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms. In Niels da Vitoria Lobo, Takis Kasparis, Fabio Roli, James Tin-Yau Kwok, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Marco Loog, editors, Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings. Volume 5342 of Lecture Notes in Computer Science, pages 602-611, Springer, 2008. [doi]

@inproceedings{Rueda08,
  title = {An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms},
  author = {Luis Rueda},
  year = {2008},
  doi = {10.1007/978-3-540-89689-0_64},
  url = {http://dx.doi.org/10.1007/978-3-540-89689-0_64},
  researchr = {https://researchr.org/publication/Rueda08},
  cites = {0},
  citedby = {0},
  pages = {602-611},
  booktitle = {Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. Proceedings},
  editor = {Niels da Vitoria Lobo and Takis Kasparis and Fabio Roli and James Tin-Yau Kwok and Michael Georgiopoulos and Georgios C. Anagnostopoulos and Marco Loog},
  volume = {5342},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-89688-3},
}