NDLI: Staff Line Detection and Removal in the Grayscale Domain

Content Provider	IEEE Xplore Digital Library
Author	Rebelo, A. Cardoso, J.S.
Copyright Year	2013
Description	Author affiliation: Fac. de Eng., Univ. do Porto, Porto, Portugal (Rebelo, A.; Cardoso, J.S.)
Abstract	The detection of staff lines is the first step of most Optical Music Recognition (OMR) systems. Its great significance derives from the ease with which we can then proceed with the extraction of musical symbols. All OMR tasks are usually achieved using binary images by setting thresholds that can be local or global. These techniques however, may remove relevant information of the music sheet and introduce artifacts which will degrade results in the later stages of the process. It arises therefore a need to create a method that reduces the loss of information due to the binarization. The baseline for the methodology proposed in this paper follows the shortest path algorithm proposed in [CardosoTPAMI08]. The concept of strong staff pixels (SSP's), which is a set of pixels with a high probability of belonging to a staff line, is proposed to guide the cost function. The SSP allows to overcome the results of the binary based detection and to generalize the binary framework to grayscale music scores. The proposed methodology achieves good results.
Starting Page	57
Ending Page	61
File Size	2077601
Page Count	5
File Format	PDF
ISBN	9780769549996
ISSN	15205363
DOI	10.1109/ICDAR.2013.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gray-scale Cost function Noise Optical imaging Robustness Image segmentation Standards
Content Type	Text
Resource Type	Article

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