I have two images and would like to perform feature detection on both and match these features. My problem is that the second image is a section of the first image with missing pixels. These missing pixels cause a strong discontinuity in the pixel intensity causing the feature detectors to place all features at this boundary as such:
Because of this the feature matching program fails since (i think) the descriptor of these features contain the missing pixel intensities which don't exist in the original image. As such i would like the feature detector to exclude these features and instead search within the 'valid' pixel regions. Does anyone have an idea ?
Else how, maybe using pattern matching on the pixel intensity could be a strong alternative but i can't find an efficient implementation for this (especially considering that the two images may be rotated with respect to one another).
[EDIT] Here are the two images:
If you slide the "holey" image over the solid one, and difference them, they will be aligned when you have the maximum number of black pixels. Watch for the magenta diagonal to disappear.