Practical Genericity: Writing Image Processing Algorithms Both Reusable and Efficient

Roland Levillain, Thierry Géraud, Laurent Najman, Edwin Carlinet. Practical Genericity: Writing Image Processing Algorithms Both Reusable and Efficient. In Eduardo Bayro-Corrochano, Edwin R. Hancock, editors, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014. Proceedings. Volume 8827 of Lecture Notes in Computer Science, pages 70-79, Springer, 2014. [doi]

@inproceedings{LevillainGNC14,
  title = {Practical Genericity: Writing Image Processing Algorithms Both Reusable and Efficient},
  author = {Roland Levillain and Thierry Géraud and Laurent Najman and Edwin Carlinet},
  year = {2014},
  doi = {10.1007/978-3-319-12568-8_9},
  url = {http://dx.doi.org/10.1007/978-3-319-12568-8_9},
  researchr = {https://researchr.org/publication/LevillainGNC14},
  cites = {0},
  citedby = {0},
  pages = {70-79},
  booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014. Proceedings},
  editor = {Eduardo Bayro-Corrochano and Edwin R. Hancock},
  volume = {8827},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-12567-1},
}