Music Score Binarization Based on Domain Knowledge

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2011

Autores

Telmo Pinto (Autor) Outra; Ana Rebelo (Autor) Outra; Gilson Giraldi (Autor) Outra; Jaime S Cardoso (Autor) FEUP

Ata de Conferência Internacional

Título: PATTERN RECOGNITION AND IMAGE ANALYSIS: 5TH IBERIAN CONFERENCE, IBPRIA 2011

Páginas: 700-708

5th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)

Las Palmas, SPAIN, JUN 08-10, 2011

Indexação

ISI Web of Knowledge - 17 Citações

Scopus - 29 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-002-WW5

DOI: 10.1007/978-3-642-21257-4_87

Abstract (EN): 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9