Music symbols segmentation in music score images
乐谱图像乐符分割技术*

Firstly,proposed a staff lines removal approach based on analyzing topological relationship among run-length segments, as a result, staff lines over-removal could avoid. Secondly,proposed a stems segmentation approach, using both vertical and horizontal run-length coding. It could overcome the weaknesses of current methods such as the fragmentary results and poor adaptability to the complex notes. Thirdly,presented an approach for note heads segmentation, employing the prior know-ledge of music notes to split and separate touched note heads. Lastly,designed a block-based approach for beam segmentation and an applied approach for text and curves extraction. Implemented the approaches in one optical music recognition system. It shows good performance and powerful adaptability, especially for the situation of intensive layout of music symbols, or the case of complicated music score images.