Title :
Detecting the Staff-Lines of Musical Score with Hough Transform and Mathematical Morphology
Author :
Chen, Genfang ; Zhang, Liyin ; Zhang, Wenjun ; Wang, Qiuqiu
Author_Institution :
Sch. of Inf. Eng., Hangzhou Normal Univ., Hangzhou, China
Abstract :
This paper presents conventional architecture of Optical Music Recognition (OMR), staff-lines detection is a key stage in OMR. It explains two major methods of staff-lines detection in detail, and it selects 68 images to experiment for the methods. The result of experiment indicates that two methods both can detect all staff-lines of an image by Hough Transform and Mathematical Morphology, but the runtime of Hough Transform is long than Mathematical Morphology.
Keywords :
Hough transforms; mathematical morphology; music; Hough transform; mathematical morphology; musical score; optical music recognition; staff lines detection; Computers; Image processing; Morphology; Music; Pixel; Runtime; Transforms;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5631269
