Title :
Morphological pyramid image registration
Author :
Hu, Zhongxiu ; Acton, Scott T.
Author_Institution :
Imaging Lab., Oklahoma State Univ., Stillwater, OK, USA
Abstract :
We propose an intensity-based morphological pyramid image registration algorithm. This approach utilizes the global affine transformation model, also considering radiometric changes between images. With the morphological pyramid structure, Levenberg-Marquardt optimization, and bilinear interpolation, this algorithm can be implemented hierarchically and iteratively with capability of measuring, to subpixel accuracy, the displacement between images subjected to simultaneous translation, rotation, scaling, and shearing. The morphological pyramid shows better performance than the Gaussian pyramid in this matching technique
Keywords :
image matching; image registration; image resolution; interpolation; iterative methods; mathematical morphology; optimisation; Levenberg-Marquardt optimization; bilinear interpolation; displacement measurement; global affine transformation model; hierarchical algorithm; intensity-based image registration; iterative algorithm; matching technique; morphological pyramid; performance; radiometric changes; rotation; scaling; shearing; subpixel accuracy; translation; Image registration; Integrated circuit modeling; Interpolation; Iterative algorithms; Laboratories; Layout; Lighting; Radiometry; Rotation measurement; Shearing;
Conference_Titel :
Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium
Conference_Location :
Austin, TX
Print_ISBN :
0-7695-0595-3
DOI :
10.1109/IAI.2000.839604
