关键词: 谱线检测与删除, 光学乐谱识别, 局部纹理特征

Abstract: Staff detection and removal are important and fundamental stages in many optical music recognition (OMR) systems. In scores, staff lines cross or overlap with the majority of symbols, that is, the pixels belong to the staff lines pixels and also belong to the symbol pixels, so it is not easy to remove the staff lines not destroying the music symbol. The purpose is to remove the pixels that only belong to the staff lines. By observing the music image, it can be found that the local texture of the staff pixel is different from that of the non-staff pixel. The local texture of the staff pixel is related to the width of staff line, and the local texture of the non-staff pixel is not only related to its own situation, but also there is a situation associated with the intersection. Therefore, this paper uses the local binary pattern to extract the local texture feature, and obtains the difference of the local texture between the staff line pixel and the non-staff line pixel. Then this paper detects and classifies the pixels of staff line and non-staff line, and removes the staff line pixels. The method proposed in this paper can not only delete the music line under the ideal state, but also apply to the curve of the music score. And the experimental results show that the proposed method is better than the existing methods on pixel error and segment error.

Key words: staff detection and removal, optical music recognition, local texture feature