Kalman filtering for segment detection: application to music scores analysis
Vincent Poulain d’Andecy, Jean Camillerapp, Ivan Leplumey · 2002
Many symbols in music scores are linear segments. In this context, we designed an extractor of segments. It is robust towards problems of quality within binary images (scale factor, curvature, bias and noises). It is based on Kalman filtering technique. By splitting music scores into layers of detectable symbols and by applying methodically to the defined layers both this extractor and simple rules of classification for the detected segments, we were able to recognize staves, stems, slurs, beams, bar lines, black note heads and then quarters and note groups.