Staff Line Removal Algorithm and Research Based on Run-Length Graph Slice and Topological Structure of Music
Yin Xian Yang, Li Zhao, Cairong Zou, Yin Xian Yang · Advanced materials research · 2013
Staff line removal is a key step before segmentation and recognition of music image and plays an important role in OMR (Optical Music Recognition) research, the result of staff line removal directly influences the performance and function of the whole OMR system. However, over-removal and under-removal often occurs in the processing and leads to the low efficiency of music recognition rate. So, in order to solve the arduous problem, an approach based on run-length graph slice and topological structure of music is put forward by careful analysis of staff line and music notation structure. Experience results show the validity and practicality of the presented algorithm fast and effectively.