Inquiry about Elastix's feature detection and registration #910
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Hi Javad, great to hear that you found a good solution for your application using elastix! As you correctly mentioned elastix is intensity-based and, hence, performs the registration by optimizing a similarity metric computed using pixel intensities from the image pair. If you consider a simple registration example of a 2D rectangle, you can imagine that the optimal displacement/transform required to match the two rectangles so that the similarity metric is optimized, is also the position where the edges (aka "features") of the rectangles also match. So, in a sense the feature matching happens implicitly in elastix and not directly as in feature-based algorithms. You can read more on the metric optimization in the elastix manual: https://elastix.lumc.nl/download/elastix-5.1.0-manual.pdf |
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Hi everyone,
I have used Elastix for image registration, and the results are very good at matching features between two modalities compared to feature-based registration algorithms available online. From a technical perspective, I am curious to know how it can successfully match features in paired modalities, considering it is an intensity-based registration and not a feature-based registration.
I would greatly appreciate your help in understanding this point.
Best wishes,
Javad
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