首页> 外文会议>International Conference on Pattern Recognition >An Efficient Staff Removal Approach from Printed Musical Documents
【24h】

An Efficient Staff Removal Approach from Printed Musical Documents

机译:从印刷音乐文档中有效的员工去除方法

获取原文

摘要

Staff removal is an important preprocessing step of the Optical Music Recognition (OMR). The process aims to remove the stafflines from a musical document and retain only the musical symbols, later these symbols are used effectively to identify the music information. This paper proposes a simple but robust method to remove stafflines from printed musical scores. In the proposed methodology we have considered a staffline segment as a horizontal linkage of vertical black runs with uniform height. We have used the neighbouring properties of a staffline segment to validate it as a true segment. We have considered the dataset along with the deformations described in [8] for evaluation purpose. From experimentation we have got encouraging results.
机译:员工删除是光学音乐识别(OMR)的重要预处理步骤。该过程旨在从音乐文件中移除员工,并仅保留音乐符号,以后有效地使用这些符号来识别音乐信息。本文提出了一种简单但坚固的方法,可以从印刷音乐评分中删除员工。在拟议的方法中,我们认为员工队伍分段为垂直黑色延伸的水平连杆,具有均匀的高度。我们使用员工队列段的相邻属性验证为真正的段。我们已经考虑了数据集以及[8]中描述的变形以进行评估目的。来自实验,我们令人鼓舞的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号