A connected path approach for staff detection on a music score

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The preservation of many music works produced in the past entails their digitalization and consequent accessibility in an easy-to-manage digital format. Carrying this task manually is very time consuming and error prone. While optical music recognition systems usually perform well on printed scores, the processing of handwritten musical scores by computers remain far from ideal. One of the fundamental stages to carry out this task is the staff line detection. In this paper a new method for the automatic detection of music staff lines based on a connected path approach is presented. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.

    Original languageEnglish (US)
    Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
    Pages1005-1008
    Number of pages4
    DOIs
    StatePublished - Dec 1 2008
    Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
    Duration: Oct 12 2008Oct 15 2008

    Other

    Other2008 IEEE International Conference on Image Processing, ICIP 2008
    CountryUnited States
    CitySan Diego, CA
    Period10/12/0810/15/08

    Fingerprint

    Processing

    Keywords

    • Document image processing
    • Image analysis
    • Music
    • Optical character recognition

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

    Cite this

    Cardoso, J. S., Capela, A., Rebelo, A., & Guedes, C. (2008). A connected path approach for staff detection on a music score. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 1005-1008). [4711927] https://doi.org/10.1109/ICIP.2008.4711927

    A connected path approach for staff detection on a music score. / Cardoso, Jaime S.; Capela, Artur; Rebelo, Ana; Guedes, Carlos.

    2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings. 2008. p. 1005-1008 4711927.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Cardoso, JS, Capela, A, Rebelo, A & Guedes, C 2008, A connected path approach for staff detection on a music score. in 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings., 4711927, pp. 1005-1008, 2008 IEEE International Conference on Image Processing, ICIP 2008, San Diego, CA, United States, 10/12/08. https://doi.org/10.1109/ICIP.2008.4711927
    Cardoso JS, Capela A, Rebelo A, Guedes C. A connected path approach for staff detection on a music score. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings. 2008. p. 1005-1008. 4711927 https://doi.org/10.1109/ICIP.2008.4711927
    Cardoso, Jaime S. ; Capela, Artur ; Rebelo, Ana ; Guedes, Carlos. / A connected path approach for staff detection on a music score. 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings. 2008. pp. 1005-1008
    @inproceedings{0fd4232c9a65439ead2eb65675872b35,
    title = "A connected path approach for staff detection on a music score",
    abstract = "The preservation of many music works produced in the past entails their digitalization and consequent accessibility in an easy-to-manage digital format. Carrying this task manually is very time consuming and error prone. While optical music recognition systems usually perform well on printed scores, the processing of handwritten musical scores by computers remain far from ideal. One of the fundamental stages to carry out this task is the staff line detection. In this paper a new method for the automatic detection of music staff lines based on a connected path approach is presented. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.",
    keywords = "Document image processing, Image analysis, Music, Optical character recognition",
    author = "Cardoso, {Jaime S.} and Artur Capela and Ana Rebelo and Carlos Guedes",
    year = "2008",
    month = "12",
    day = "1",
    doi = "10.1109/ICIP.2008.4711927",
    language = "English (US)",
    isbn = "1424417643",
    pages = "1005--1008",
    booktitle = "2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings",

    }

    TY - GEN

    T1 - A connected path approach for staff detection on a music score

    AU - Cardoso, Jaime S.

    AU - Capela, Artur

    AU - Rebelo, Ana

    AU - Guedes, Carlos

    PY - 2008/12/1

    Y1 - 2008/12/1

    N2 - The preservation of many music works produced in the past entails their digitalization and consequent accessibility in an easy-to-manage digital format. Carrying this task manually is very time consuming and error prone. While optical music recognition systems usually perform well on printed scores, the processing of handwritten musical scores by computers remain far from ideal. One of the fundamental stages to carry out this task is the staff line detection. In this paper a new method for the automatic detection of music staff lines based on a connected path approach is presented. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.

    AB - The preservation of many music works produced in the past entails their digitalization and consequent accessibility in an easy-to-manage digital format. Carrying this task manually is very time consuming and error prone. While optical music recognition systems usually perform well on printed scores, the processing of handwritten musical scores by computers remain far from ideal. One of the fundamental stages to carry out this task is the staff line detection. In this paper a new method for the automatic detection of music staff lines based on a connected path approach is presented. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.

    KW - Document image processing

    KW - Image analysis

    KW - Music

    KW - Optical character recognition

    UR - http://www.scopus.com/inward/record.url?scp=69949122987&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=69949122987&partnerID=8YFLogxK

    U2 - 10.1109/ICIP.2008.4711927

    DO - 10.1109/ICIP.2008.4711927

    M3 - Conference contribution

    SN - 1424417643

    SN - 9781424417643

    SP - 1005

    EP - 1008

    BT - 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings

    ER -