Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/2479
Title: Staff line detection and removal in the grayscale domain
Authors: Rebelo, Ana
Cardoso, Jaime S.
Issue Date: 2013
Publisher: IEEE
Citation: Rebelo, A. & Cardoso, J. S. (2013). Staff line detection and removal in the grayscale domain. In 12th International Conference on Document Analysis and Recognition (ICDAR 2013), Washington, DC, USA, 25-28 Aug. 2013 (pp. 57-61). Disponível no Repositório UPT, http://hdl.handle.net/11328/2479
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.
URI: http://hdl.handle.net/11328/2479
ISBN: 978-0-7695-4999-6
Appears in Collections:REMIT - Comunicações a Congressos Internacionais / Papers in International Meetings

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