Registration of image cubes using multivariate mutual information
作者： J.P. Kern , M. Pattichis , S.D. Stearns
DOI: 10.1109/ACSSC.2003.1292264
关键词:
摘要: A new method for simultaneously registering a collection of multispectral or hyperspectral images (spectral image cubes) using mutual information is presented. In this paper, we derive algorithm based on optimization between pairs and extend it to any finite number images. We present results the convergence stability algorithm, showing that registers each weighted average its alignment with every other image. This has application multiimage applications as well.
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