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Stave Extraction for Printed Music Scores Using DP Matching
Author(s) -
Hidetoshi Miyao,
Masayuki Okamoto
Publication year - 2004
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2004.p0208
Subject(s) - computer science , matching (statistics) , extraction (chemistry) , artificial intelligence , pattern recognition (psychology) , computer vision , position (finance) , line (geometry) , mathematics , statistics , geometry , chemistry , finance , chromatography , economics
This paper proposes extraction composed of the following four processes to accurately extract the position of a stave, including inclination, break, and flexion: (1) Find stave candidate points on a scanning line when an image is scanned vertically at equally spaced intervals. (2) Use DP matching to link stave candidate points. (3) Use labeling to separate them into a group for each stave. (4) Extract end points of a stave and correct their positions. When this extraction was applied to 104 printed music scores, it accurately extracted 99.52% of stave positions.

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