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Image processing and alignment
Hey all,,
I have a question with image alignment. I have two sets of height data of a surface at different temperatures from an experiment. The data set has both translation and rotation. The data is saved as matrix format. Now i need to align those data sets.. What I have done is, I converted the matrix to gray format using mat2gray and found the edges of feature on the surface using canny filter. I found the angle by selecting a set of points in edge plot (logical data set) and fitted a line to it and then found the angle for that line. I have removed the rotation from both the data set using imrotate. Now the angle is removed I need to correct for translation in x and y.
Since I am doing the experiement at different temperatures some noise factor add in to the data set. I know I can use cpselect for manually selecting the contol points and then find the translation. Wondering if there is any automatic way of doing it?
Thanks
Deepak
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 Deepak
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7/13/2010 4:43:05 PM |
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Forgot to add in this... Normalized Cross-Correlation isn't working well because of noise factor...
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Deepak
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7/13/2010 4:53:04 PM
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"Deepak Sankar" <deepaksankar@yahoo.com> wrote in message <i1i5lg$1a2$1@fred.mathworks.com>...
> Forgot to add in this... Normalized Cross-Correlation isn't working well because of noise factor...
Do a search on here for "phase correlation." It can handle both rotations and translations as well as scaling. Also it's fairly resilient to noise and intensity differences.
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Sean
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7/13/2010 6:05:08 PM
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"Deepak Sankar" <deepaksankar@yahoo.com> wrote in message <i1i5lg$1a2$1@fred.mathworks.com>...
> Forgot to add in this... Normalized Cross-Correlation isn't working well because of noise factor...
Also, see this submission:
http://www.mathworks.com/matlabcentral/fileexchange/18401-efficient-subpixel-image-registration-by-cross-correlation
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Sean
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7/13/2010 6:06:10 PM
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