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Kumar Shi

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LabVIEW Information

  • Version
    LabVIEW 2010
  • Since
    2014

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  1. i agree with you suggestion, i would give it a try. i am aware of complexity of this project. at beginning i am going to implement it on scores downloaded as pdf then convert to bmp files and then do the processing to avoid any complications that cou;d arise from misalignment. thank you for your suggestion.
  2. "Out of curiosity because I don't know OMR workings: does removing the staffs in preprocessing really help the recognition, not complicate it?" well, yes removing staffs could help in terms, I can define the region of interest and do template matching to find the duration of the note, e;g, whole note, half note, one fouth note, etc. as for the staff i can get the location of staff by hough transform or line detect on y-axis. then I can compare the location of note on y-axis to find which note is it. e.g, C, C#, D, D#...etc. but my first problem still remains. what method other than hough transform could be used to find and erase the staffs.
  3. Good day, I am trying to find a way to remove staff lines from music score for further processing. I am working on OMR (optical music recognition). I am not sure if it is possible with labview but there are some similiar projects using opencv and python. but my work is based on labview. So i was wondering of i can actually use anything to get it done. I know the steps for staves detection using C++. 1. line detection (using histogram profiling or hough transform) 2. filter the line from original image my problem is that 1. I can use hough transform to detect line but theoritically it won't provide me with enough pixels to remove the whole staff but only a part. so I am wondering if someone has used histogram profiling to detect lines? 2. how to filter the line from original image? 3. any way to import opencv to labview? ( problem remains because i am using 64 bit system and can't call 32 bit .dll, really stuck on this one.) Thank you so much for any suggestions and help.
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