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Image Calibration

I am new to image processing. I have a data set of images and I want to perform calibration on those images based on a target image. I have surfed a lot on image calibration but the majority of the results yield camera calibration.So,I I am confused as to whether these are same or different things.I have several question in my mind. Can anybody explain to me the difference between these two terms?

On reading through one of the results on image calibration, I got to know that there are three steps that I need to perform:

Bias Frame Calibration Dark Frame Calibration Flat Field Frame Calibration So, I want to know if these 3 steps will be possible using OpenCV or not? Also, I need to perform this in Android. For that, I have figured out that I will need to use OpenCV. I have seen the documentation of it. There are lot of things there onto documentation page. So, Which part can solve my problem.

Kindly share some resource for this. Thank you so much for your time.

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updated 2017-01-28 04:07:49 -0600

berak gravatar image

Image Calibration

I am new to image processing. I have a data set of images and I want to perform calibration on those images based on a target image. I have surfed a lot on image calibration but the majority of the results yield camera calibration.So,I I am confused as to whether these are same or different things.I have several question in my mind. Can anybody explain to me the difference between these two terms?

On reading through one of the results on image calibration, I got to know that there are three steps that I need to perform:

  • Bias Frame Calibration Calibration
  • Dark Frame Calibration Calibration
  • Flat Field Frame Calibration Calibration

So, I want to know if these 3 steps will be possible using OpenCV or not? Also, I need to perform this in Android. For that, I have figured out that I will need to use OpenCV. I have seen the documentation of it. There are lot of things there onto documentation page. So, Which part can solve my problem.

Kindly share some resource for this. Thank you so much for your time.