STAFF LINE DETECTION AND REMOVAL WITH STABLE PATHS

Artur Capela, Ana Rebelo, Jaime S. Cardoso, Carlos Guedes

2008

Abstract

Many music works produced in the past are currently available only as original manuscripts or as photocopies. Preserving them entails their digitalization and consequent accessibility in a machine-readable format, which encourages browsing, retrieval, search and analysis while providing a generalized access to the digital material. Carrying this task manually is very time consuming and error prone. While optical music recognition (OMR) systems usually perform well on printed scores, the processing of handwritten music by computers remains below the expectations. One of the fundamental stages to carry out this task is the detection and subsequent removal of staff lines. In this paper we integrate a general-purpose, knowledge-free method for the automatic detection of staff lines based on stable paths, into a recently developed staff line removal toolkit. Lines affected by curvature, discontinuities, and inclination are robustly detected. We have also developed a staff removal algorithm adapting an existing line removal approach to use the stable path algorithm at the detection stage. Experimental results show that the proposed technique outperforms well-established algorithms. The developed algorithm will now be integrated in a web based system providing seamless access to browsing, retrieval, search and analysis of submitted scores.

References

  1. Capela, A., Cardoso, J. S., Rebelo, A., and Guedes, C. (2008). Integrated recognition system for music scores. In International Computer Music Conference (ICMC) (Accepted).
  2. Cardoso, J. S., Capela, A., Rebelo, A., and Guedes, C. (2008a). A connected path approach for staff detection on a music score. In International Conference on Image Processing (ICIP 2008) (Accepted).
  3. Cardoso, J. S., Capela, A., Rebelo, A., and Guedes, C. (2008b). Staff detection with stable paths. Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (Submitted).
  4. Classical Sheet Music Collection (2008). Classical Sheet Music and MIDI Files, http://www.music-scores.com.
  5. Dalitz, C., Droettboom, M., Pranzas, B., and Fujinaga, I. (2008). A comparative study of staff removal algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(5):753-766.
  6. Gamera Framework (2008). Gamera Framework, http://ldp.library.jhu.edu/projects/gamera/.
  7. MacMillan, K., Droettboom, M., and Fujinaga, I. (2002). Gamera: Optical music recognition in a new shell. In International Computer Music Conference (ICMC), pages 482-485.
  8. MIC (2008). Music Information Center, http://www.mic.pt.
  9. MusicStaves Toolkit (2008). MusicStaves Toolkit, http://lionel.kr.hsnr.de/ dalitz/data/projekte/stafflines/.
  10. Mutopia Collection (2008). The Mutopia Project, http://sca.uwaterloo.ca/Mutopia.
  11. Randriamahefa, R., Cocquerez, J. P., Fluhr, C., Ppin, F., and Philipp, S. (1993). Printed music recognition. In Proceedings of the 2nd International Conference on Document Analysis and Recognition (ICDAR'93), pages 898-901.
  12. Rebelo, A., Capela, A., da Costa, J. F. P., Guedes, C., Carrapatoso, E., and Cardoso, J. S. (2007). A shortest path approach for staff line detection. In AXMEDIS 7807: Proceedings of the Third International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution, pages 79-85, Washington, DC, USA. IEEE Computer Society.
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Paper Citation


in Harvard Style

Capela A., Rebelo A., S. Cardoso J. and Guedes C. (2008). STAFF LINE DETECTION AND REMOVAL WITH STABLE PATHS . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008) ISBN 978-989-8111-60-9, pages 263-270. DOI: 10.5220/0001937802630270


in Bibtex Style

@conference{sigmap08,
author={Artur Capela and Ana Rebelo and Jaime S. Cardoso and Carlos Guedes},
title={STAFF LINE DETECTION AND REMOVAL WITH STABLE PATHS},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)},
year={2008},
pages={263-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001937802630270},
isbn={978-989-8111-60-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)
TI - STAFF LINE DETECTION AND REMOVAL WITH STABLE PATHS
SN - 978-989-8111-60-9
AU - Capela A.
AU - Rebelo A.
AU - S. Cardoso J.
AU - Guedes C.
PY - 2008
SP - 263
EP - 270
DO - 10.5220/0001937802630270