Paper Info
Title
Music score binarization based on domain knowledge
Abstract
Image binarization is a common operation in the preprocessing 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.
Year
DOI
Venue
2011
10.1007/978-3-642-21257-4_87
IbPRIA
Keywords
Field
DocType
novel binarization method,gray level music score,handwritten music score,proposed binarization procedure,art method,optical music recognition,appropriate binarization method,binarization process,music score binarization,domain knowledge,music sheets document,image binarization,computer vision,image processing
Music recognition,Optical music recognition,Computer vision,Pattern recognition,Domain knowledge,Computer science,Image processing,Speech recognition,Preprocessor,Gray level,Artificial intelligence,Content knowledge
Conference
Volume
ISSN
Citations 
6669
0302-9743
13
PageRank 
References 
Authors
0.69
15
4
Name
Order
Citations
PageRank
Telmo Pinto1192.51
Ana Rebelo218316.21
Gilson Giraldi3212.22
Jaime S. Cardoso454368.74