Stave Extraction for Printed Music Scores

Authors:
Hidetoshi Miyao
Affiliations:
-
Venue:
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Year:
2002

Citing 2
Cited 1

Structured Document Image Analysis

Structured Document Image Analysis
Adaptive optical music recognition

Adaptive optical music recognition

Automatic stave discovery for musical facsimiles

ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV

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Abstract

In this paper, a satisfactory method is described for the extraction of staff lines in which there are some inclinations, discontinuities, and curvatures. The extraction calls for four processes: (1) Extraction of specific points on a stave on vertical scan lines, (2) Connection of the points using DP matching, (3) Composition of stave groups using labeling, and (4) Extraction and adjustment of the edges of lines. The experiment resulted in an extraction rate of 99.4% for 71 printed music scores that included lines with some inclinations, discontinuities, and curvatures.