dc.contributor.author |
Rasnayaka, S |
|
dc.contributor.editor |
Pemasiri, A |
|
dc.contributor.editor |
Bandara, M |
|
dc.contributor.editor |
Meedeniya, D |
|
dc.contributor.editor |
Perera, I |
|
dc.date.accessioned |
2022-12-12T03:35:28Z |
|
dc.date.available |
2022-12-12T03:35:28Z |
|
dc.date.issued |
2015-10 |
|
dc.identifier.citation |
********* |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/19742 |
|
dc.description.abstract |
This paper discusses a computer vision system to
detect western music notations from images. The developed
library will take in images of western music sheet notation and
identify the key features necessary to extract the notes. The
images will go through several pre-processing stages and then
using straight line detection techniques the staff and notes will be
detected. The paper will discuss the algorithms used and
developed to achieve this. Finally the paper will present the
accuracy measures in the developed system for different types of
images. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Department of Computer Science and Engineering, University of Moratuwa. |
en_US |
dc.subject |
Detection |
en_US |
dc.subject |
Notation |
en_US |
dc.subject |
Computer vision |
en_US |
dc.title |
Computer vision library for western music sheet notations |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.department |
Department of Computer Science and Engineering |
en_US |
dc.identifier.year |
2015 |
en_US |
dc.identifier.conference |
Proceedings of the CSE Symposium 2015 |
en_US |
dc.identifier.place |
Moratuwa, Sri Lanka. |
en_US |
dc.identifier.pgnos |
pp. 11-14 |
en_US |
dc.identifier.proceeding |
Proceedings of the CSE Symposium 2015 |
en_US |
dc.identifier.email |
sanka.11@cse.mrt.ac.lk |
en_US |