IS = { zkontrolovano 29 May 2014 },
  UPDATE  = { 2014-02-18 },
  Title = {jSLIC : superpixels in ImageJ},
  author = {Borovec, Ji{\v r}{\' i} and Kybic, Jan},
  booktitle = {CVWW2014: Proceedings of the 19th Computer Vision Winter Workshop},
  pages = {14--18},
  book_pages = {127},
  publisher = {Czech Society for Cybernetics and Informatics},
  address = {Pod Vodarenckou vezi 4, 18200, Prague, Czech Republic},
  organization = {Czech Pattern Recognition Society group},
  editor = {K{\' u}kelov{\' a}, Zuzana and Heller, Jan},
  isbn = {978-80-260-5641-6},
  Venue = {Krtiny, Czech Republic},
  day = {3--5},
  month = {February},
  year = {2014},
  annote = {This paper presents the implementation and particular improvements 
        on the superpixel clustering algorithm - SLIC (Simple Linear Iterative 
        Clustering). The main contribution of the jSLIC is a significant 
        speed-up of the original clustering method, transforming the compactness 
        parameter such that the value is image independent, and a new post-processing 
        step (after clustering) which now gives more reliable superpixels - the newly 
        established segments are more homogeneous. The improvements of speed 
        and quality are shown on real images. We implemented the new jSLIC in Java 
        and made the source code publicly available. Also we created a plug-in 
        in ImageJ/Fiji which is commonly used as a research and development 
        platform in biology and medical imaging.},
  Keywords = {segmentation; superpixels; clustering},
  Project = {SGS12/190/OHK3/3T/13, GACR P202/11/0111},
  Psurl = {[Borovec-CVWW2014.pdf]},
  Url = {ftp://cmp.felk.cvut.cz/pub/cmp/articles/borovec/Borovec-CVWW2014.pdf},
  authorship = {90-10},