Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/2484
Title: Music score binarization based on domain knowledge
Authors: Pinto, Telmo
Rebelo, Ana
Giraldi, Gilson
Cardoso, Jaime S.
Keywords: Computer vision
Image processing
Music recognition
Issue Date: 2011
Publisher: Springer
Citation: Pinto, T., Rebelo, A., Giraldi, G., Cardoso, J. S. (2011). Music score binarization based on domain knowledge. In Proceedings of 5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2011), Las Palmas, Spain, 2011 (pp. 700-708). Disponível no Repositório UPT, http://hdl.handle.net/11328/2484
Abstract: Image binarization is a common operation in the pre- processing stage in most Optical Music Recognition (OMR) systems. The choice of an appropriate binarization method for handwritten music scores is a difficult problem. Several works have already evaluated the performance of existing binarization processes in diverse applications. However, no goal-directed studies for music sheets documents were carried out. This paper presents a novel binarization method based in the content knowledge of the image. The method only needs the estimation of the staffline thickness and the vertical distance between two stafflines. This information is extracted directly from the gray level music score. The proposed binarization procedure is experimentally compared with several state of the art methods.
URI: http://hdl.handle.net/11328/2484
ISBN: 978-3-642-21256-7
ISSN: 978-3-642-21257-4
Appears in Collections:REMIT - Comunicações a Congressos Internacionais / Papers in International Meetings

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