Difference between revisions of "Publications/geraud.14.icip.inc"

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== Source Code ==
  
== Source Code ==
   
  +
Code corresponding to the method described in the paper: [https://www.lrde.epita.fr/~theo/papers/geraud14icip_materials/steps.tgz]
   
   

Revision as of 15:55, 18 February 2014

Figure

Step-by-step staff removal: the same image excerpt is depicted.

Geraud14icip input.png
(a) Input image.


Geraud14icip step1.png
(b) Step 1: permissive hit-or-miss.


Geraud14icip step2.png
(c) Step 2: horizontal median filter.


Geraud14icip step3.png
(d) Step 3: horizontal reconstruction.


Geraud14icip step4.png
(e) Step 4: cleaning.


Geraud14icip step5s.png
(f) Step 5: after line selection (contour superimposed).


Geraud14icip output.png
(g) Step 6: output, after a local vertical median filter.


Geraud14icip groundtruth.png
(h) Ground truth.


Source Code

Code corresponding to the method described in the paper: [1]


Useful Links

  • The staff removal competition organized at the International Conference on Document Analysis and Recognition (ICDAR) 2013:

http://www.icdar2013.org/program/competitions

  • The CVC-MUSCIMA database of handwritten music score images:

http://www.cvc.uab.es/cvcmuscima

  • The Olena Image Processing Platform (containing the Milena C++ image processing library):

http://olena.lrde.epita.fr

  • An online demo of staff removal:

http://olena.lrde.epita.fr/demos/staff_removal.php


Contact

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