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An Efficient Staff Removal Approach from Printed Musical Documents

机译:从印刷音乐文件中高效撤职的方法

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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 cite{ex8} for evaluation purpose. From experimentation we have got encouraging results.
机译:撤职人员是光学音乐识别(OMR)的重要预处理步骤。该过程的目的是从音乐文档中删除工作人员专线,并仅保留音乐符号,随后这些符号可有效地用于识别音乐信息。本文提出了一种简单而健壮的方法,可从印刷的乐谱中删除工作人员。在提出的方法中,我们已将人员线段视为具有均匀高度的垂直黑线的水平链接。我们已使用工作人员线段的相邻属性将其验证为真实的段。为了评估目的,我们已经考虑了数据集以及cite {ex8}中描述的变形。从实验中我们得到了令人鼓舞的结果。

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