Accession Number : ADA401616


Title :   Translation and Rotation Invariant Multiscale Image Registration


Descriptive Note : Master's thesis


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING AND MANAGEMENT


Personal Author(s) : Manfra, Jennifer L


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a401616.pdf


Report Date : Mar 2002


Pagination or Media Count : 113


Abstract : The most recent research involved registering images in the presence of translations and rotations using one iteration of the redundant discrete wavelet transform. We extend this work by creating a new multiscale transform to register two images with translation or rotation differences, independent of scale differences between the images. Our two-dimensional multiscale transform uses an innovative combination of lowpass filtering and the continuous wavelet transform to mimic the two-dimensional redundant discrete wavelet transform. This allows us to obtain multiple subbands at various scales while maintaining the desirable properties of the redundant discrete wavelet transform. Whereas the discrete wavelet transform produces results only at dyadic scales, our new multiscale transform produces data at all integer scales. This added flexibility improves registration accuracy without greatly increasing computational complexity and permits accurate registration even in the presence of scale differences.


Descriptors :   *IMAGE REGISTRATION , THESES , WAVELET TRANSFORMS


Subject Categories : Numerical Mathematics
      Optics


Distribution Statement : APPROVED FOR PUBLIC RELEASE