OpenCV pattern recognition with location feedback of missing patterns










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I am building an app to recognize openings of defined size, arranged in known patterns on a white foil/paper. If some openings are missing I need to recognize it and need the location feedback. Openings will be black, so contrast should be of no issue.



My question: what opencv algorithm would be the best to achieve this.



Explanatory note:
Since the opencv tool box is huge their might be a lot of tools that would do the job in general, but neither I want to shoot on birds with canons nor use a dull knife to cut precisely.
I already tried similarity measurement as described in the official documentation, it somehow works but doesn't seem to really fit in that situation.



Thanks so much for your help and ideas!










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    0















    I am building an app to recognize openings of defined size, arranged in known patterns on a white foil/paper. If some openings are missing I need to recognize it and need the location feedback. Openings will be black, so contrast should be of no issue.



    My question: what opencv algorithm would be the best to achieve this.



    Explanatory note:
    Since the opencv tool box is huge their might be a lot of tools that would do the job in general, but neither I want to shoot on birds with canons nor use a dull knife to cut precisely.
    I already tried similarity measurement as described in the official documentation, it somehow works but doesn't seem to really fit in that situation.



    Thanks so much for your help and ideas!










    share|improve this question
























      0












      0








      0








      I am building an app to recognize openings of defined size, arranged in known patterns on a white foil/paper. If some openings are missing I need to recognize it and need the location feedback. Openings will be black, so contrast should be of no issue.



      My question: what opencv algorithm would be the best to achieve this.



      Explanatory note:
      Since the opencv tool box is huge their might be a lot of tools that would do the job in general, but neither I want to shoot on birds with canons nor use a dull knife to cut precisely.
      I already tried similarity measurement as described in the official documentation, it somehow works but doesn't seem to really fit in that situation.



      Thanks so much for your help and ideas!










      share|improve this question














      I am building an app to recognize openings of defined size, arranged in known patterns on a white foil/paper. If some openings are missing I need to recognize it and need the location feedback. Openings will be black, so contrast should be of no issue.



      My question: what opencv algorithm would be the best to achieve this.



      Explanatory note:
      Since the opencv tool box is huge their might be a lot of tools that would do the job in general, but neither I want to shoot on birds with canons nor use a dull knife to cut precisely.
      I already tried similarity measurement as described in the official documentation, it somehow works but doesn't seem to really fit in that situation.



      Thanks so much for your help and ideas!







      c++ opencv






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 11 '18 at 19:13









      FuzzyTemperFuzzyTemper

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