Unsupervised Multispectral Image Segmentation Using Generalized Gaussian Noise Model

Philippe Rostaing, Jean-Noël Provost, Christophe Collet. Unsupervised Multispectral Image Segmentation Using Generalized Gaussian Noise Model. In Edwin R. Hancock, Marcello Pelillo, editors, Energy Minimization Methods in Computer Vision and Pattern Recognition, Second International Workshop, EMMCVPR 99, York, UK, July 26-29, 1999, Proceedings. Volume 1654 of Lecture Notes in Computer Science, pages 142-156, Springer, 1999.

@inproceedings{RostaingPC99,
  title = {Unsupervised Multispectral Image Segmentation Using Generalized Gaussian Noise Model},
  author = {Philippe Rostaing and Jean-Noël Provost and Christophe Collet},
  year = {1999},
  researchr = {https://researchr.org/publication/RostaingPC99},
  cites = {0},
  citedby = {0},
  pages = {142-156},
  booktitle = {Energy Minimization Methods in Computer Vision and Pattern Recognition, Second International Workshop, EMMCVPR 99, York, UK, July 26-29, 1999, Proceedings},
  editor = {Edwin R. Hancock and Marcello Pelillo},
  volume = {1654},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-66294-4},
}