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Summary: This work was supported by NASA EPSCoR.
Morphological Pyramid Image Registration
Zhongxiu Hu and Scott T. Acton
The Oklahoma Imaging Laboratory
School of Electrical and Computer Engineering
Oklahoma State University
Stillwater, OK 74078
Email: hzhongx@fajita.ecen.okstate.edu, sacton@ceat.okstate.edu
Abstract
We proposed 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
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