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Staff Detection with Stable Paths
2009
IEEE Transactions on Pattern Analysis and Machine Intelligence
The preservation of musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. Lines affected by curvature, discontinuities, and inclination
doi:10.1109/tpami.2009.34
pmid:19372615
fatcat:fc5sbxrmgbczvonagoso57xsou