Difference between revisions of "Publications/geraud.14.icip.inc"
From LRDE
(→Figure) |
|||
Line 4: | Line 4: | ||
== Figure == |
== Figure == |
||
+ | . |
||
⚫ | |||
+ | |||
⚫ | |||
+ | |||
+ | . |
||
+ | |||
{| class="wikitable" border="1" |
{| class="wikitable" border="1" |
||
Line 68: | Line 73: | ||
! (h) Ground truth. |
! (h) Ground truth. |
||
|} |
|} |
||
− | |||
== Source Code == |
== Source Code == |
Latest revision as of 15:59, 18 February 2014
Figure
.
Step-by-step staff removal: the same image excerpt is depicted: click on the images to enlarge.
.
![]() |
(a) Input image. |
---|
![]() |
(b) Step 1: permissive hit-or-miss. |
---|
![]() |
(c) Step 2: horizontal median filter. |
---|
![]() |
(d) Step 3: horizontal reconstruction. |
---|
![]() |
(e) Step 4: cleaning. |
---|
![]() |
(f) Step 5: after line selection (contour superimposed). |
---|
![]() |
(g) Step 6: output, after a local vertical median filter. |
---|
![]() |
(h) Ground truth. |
---|
Source Code
Code of 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):
- An online demo of staff removal:
http://olena.lrde.epita.fr/demos/staff_removal.php
- Reproducible research:
Contact
- Homepage: http://www.lrde.epita.fr/wiki/User:Theo
- Email: thierry.geraud@lrde.epita.fr