Staff detection with stable paths

Jaime dos Santos Cardoso, Artur Capela, Ana Rebelo, Carlos Guedes, Joaquim Pinto da Costa

    Research output: Contribution to journalArticle

    Abstract

    The preservation of musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. 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)
    Pages (from-to)1134-1139
    Number of pages6
    JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
    Volume31
    Issue number6
    DOIs
    StatePublished - May 20 2009

    Fingerprint

    Line Detection
    Path
    Line
    Inclination
    Processing
    Music
    Preservation
    Discontinuity
    Curvature
    Experimental Results
    Knowledge

    Keywords

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

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Computational Theory and Mathematics
    • Artificial Intelligence
    • Applied Mathematics

    Cite this

    dos Santos Cardoso, J., Capela, A., Rebelo, A., Guedes, C., & Pinto da Costa, J. (2009). Staff detection with stable paths. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(6), 1134-1139. https://doi.org/10.1109/TPAMI.2009.34

    Staff detection with stable paths. / dos Santos Cardoso, Jaime; Capela, Artur; Rebelo, Ana; Guedes, Carlos; Pinto da Costa, Joaquim.

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 6, 20.05.2009, p. 1134-1139.

    Research output: Contribution to journalArticle

    dos Santos Cardoso, J, Capela, A, Rebelo, A, Guedes, C & Pinto da Costa, J 2009, 'Staff detection with stable paths', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 6, pp. 1134-1139. https://doi.org/10.1109/TPAMI.2009.34
    dos Santos Cardoso J, Capela A, Rebelo A, Guedes C, Pinto da Costa J. Staff detection with stable paths. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009 May 20;31(6):1134-1139. https://doi.org/10.1109/TPAMI.2009.34
    dos Santos Cardoso, Jaime ; Capela, Artur ; Rebelo, Ana ; Guedes, Carlos ; Pinto da Costa, Joaquim. / Staff detection with stable paths. In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009 ; Vol. 31, No. 6. pp. 1134-1139.
    @article{762e42cc9e9142679b2002749f619023,
    title = "Staff detection with stable paths",
    abstract = "The preservation of musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. 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 = "{dos Santos Cardoso}, Jaime and Artur Capela and Ana Rebelo and Carlos Guedes and {Pinto da Costa}, Joaquim",
    year = "2009",
    month = "5",
    day = "20",
    doi = "10.1109/TPAMI.2009.34",
    language = "English (US)",
    volume = "31",
    pages = "1134--1139",
    journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
    issn = "0162-8828",
    publisher = "IEEE Computer Society",
    number = "6",

    }

    TY - JOUR

    T1 - Staff detection with stable paths

    AU - dos Santos Cardoso, Jaime

    AU - Capela, Artur

    AU - Rebelo, Ana

    AU - Guedes, Carlos

    AU - Pinto da Costa, Joaquim

    PY - 2009/5/20

    Y1 - 2009/5/20

    N2 - The preservation of musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. 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 musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. 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=65549130713&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=65549130713&partnerID=8YFLogxK

    U2 - 10.1109/TPAMI.2009.34

    DO - 10.1109/TPAMI.2009.34

    M3 - Article

    VL - 31

    SP - 1134

    EP - 1139

    JO - IEEE Transactions on Pattern Analysis and Machine Intelligence

    JF - IEEE Transactions on Pattern Analysis and Machine Intelligence

    SN - 0162-8828

    IS - 6

    ER -