This technique allows for global information to be incorporated in the evaluation of triplets of mappings.

About

Description: This technique provides an approach to registering multimodal and/or monomodal images by building key point correspondences.  For each test key point, a number of reference key points are chosen as mapping candidates. A triplet of key point mappings determine an affine transformation that is evaluated using a similarity metric between the reference image and the transformed test image by the determined transformation. An iterative process is conducted on triplets of key point  mappings, keeping track of the best matched reference key point. The similarity metric is defined to be the number of overlapped edge pixels over the entire images, allowing for global information to be incorporated in the evaluation of triplets of mappings.

Register for free for full unlimited access to all innovation profiles on LEO

  • Discover articles from some of the world’s brightest minds, or share your thoughts and add one yourself
  • Connect with like-minded individuals and forge valuable relationships and collaboration partners
  • Innovate together, promote your expertise, or showcase your innovations