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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


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