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!
c++ opencv
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up vote
0
down vote
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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!
c++ opencv
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
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
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
c++ opencv
asked Nov 11 at 19:13
FuzzyTemper
229
229
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