Title :
Optical music sheet segmentation
Author :
Bellini, P. ; Bruno, I. ; Nesi, P.
Author_Institution :
Dep. of Syst. & Informatic, Univ. of Florence, Italy
Abstract :
The optical music recognition problem has been addressed in several ways, obtaining suitable results only when simple music constructs are processed. The most critical phase of the optical music recognition process is the first analysis of the image sheet. The first analysis consists of segmenting the acquired sheet into smaller parts which may be processed to recognize the basic symbols. The segmentation module of the O3 MR system (Object Oriented Optical Music Recognition) system is presented. The proposed approach is based on the adoption of projections for the extraction of basic symbols that constitute a graphic element of the music notation. A set of examples is also included.
Keywords :
image segmentation; music; object-oriented programming; optical character recognition; O3 MR system; Object Oriented Optical Music Recognition system; basic symbols; graphic element; image processing; image sheet; music notation; music segmentation; optical music recognition; optical music sheet segmentation; segmentation module; simple music constructs; Availability; Data mining; Head; Image processing; Image recognition; Image segmentation; Informatics; Multiple signal classification; Optical character recognition software; Ordinary magnetoresistance;
Conference_Titel :
Web Delivering of Music, 2001. Proceedings. First International Conference on
Print_ISBN :
0-7695-1284-4
DOI :
10.1109/WDM.2001.990175