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 | 1 | initial version |
Hello.
I saw the other post.
You should edit your question and link it so that people can see the images associated with this question.
My personal opinion is that you are trying to be too bold. You want to detect the door in one step. Sure, this would be simple if the door was the other thing in the scene, but as you've experienced, applied computer vision is never so clean and simple.
You have to do two things. Locate the parts of the image that you are interested in, and remove parts of the image that you are not interested in.
Instead of a one step detector, you may want to detect the fuselage, or the cockput window to begin with. This would give you a rough estimate as to where the door should be located, and where there may be artwork or details.
Then feature analysis or a cascade classifier may be useful at this point to narrow down and postiviely detect the door.
http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html
| | 2 | No.2 Revision |
Hello.
I saw the other post.
You should edit your question and link it so that people can see the images associated with this question.
My personal opinion is that you are trying to be too bold. You want to detect the door in one step. Sure, this would be simple if the door was the other thing only object in the scene, but as you've experienced, applied computer vision is never so clean and simple.
You have to do two things. Locate the parts of the image that you are interested in, and remove parts of the image that you are not interested in.
Instead of a one step detector, you may want to detect the fuselage, or the cockput window to begin with. This would give you a rough estimate as to where the door should be located, and where there may be artwork or details.
Then feature analysis or a cascade classifier may be useful at this point to narrow down and postiviely detect the door.
http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html
