Welcome to BPDL’s documentation!

Indices and tables

BPDL - Binary pattern Dictionary Learning

The package contain Binary pattern Dictionary Learning (BPDL) which is image processing toolfor unsupervised pattern extraction and atlas estimation. Moreover the project/repositorycontains comparisons with State-of-the-Art decomposition methods applied to image domain.The package also includes useful tools for dataset handling and around real microscopy images.

Main features

  • implementation of BPDL package
  • using fuzzy segmentation as inputs
  • deformation via daemon registration
  • experimental setting & synthetic dataset
  • comparison with NMF, SPCS, ICA, CanICA, MSDL, etc.
  • visualisations and notebook samples

References

Borovec J., Kybic J. (2016) Binary Pattern Dictionary Learning for Gene Expression Representationin Drosophila Imaginal Discs. In: Computer Vision - ACCV 2016 Workshops. Lecture Notes in ComputerScience, vol 10117, Springer. DOI: 10.1007/978-3-319-54427-4_40.