Image correction

Hello, I have to correct my each new acquiring image in comparision with master image. Like intensity variation. But the the problem is my each new image may shift or rotate. i need to add the error correction image with each new image based on shifting and roation. Your suggestions will be valuable input for me.

Hello,
one of the possible solutions (for a planar scene):
1. detect keypoints on the reference image and on (each) newly acquired image.
Keypoints are usually detected using algorithms like SIFT, SURF, MSER etc...
2. calculate homography between the reference image and (each) newly acquired image (minimal 4 points are needed).
3. use homography to transform (each) newly acquired image to the reference image.
4. process images with your algorithm (intensity variations, etc...).
Some time ago, I have already implemented 1. - 3. (3. is implemented partialy, as you would need to output the homography matrix to Labview and apply it there. Modifiying the source code should be pretty easy):
https://decibel.ni.com/content/blogs/kl3m3n/2013/07/29/scale-invariant-feature-transform-source-code...
If you choose to go this way and run into problems, I can help.
Hope this helps in some way.
Best regards,
K
https://decibel.ni.com/content/blogs/kl3m3n
"Kudos: Users may give one another Kudos on the forums for posts that they found particularly helpful or insightful."

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Website

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For help with HTML & CSS - http://w3schools.com/
Nancy O.
Alt-Web Design & Publishing
Web | Graphics | Print | Media Specialists
http://alt-web.com/
http://twitter.com/altweb

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