A pyramid approach for multimodality image registration based on mutual information

Hua Mei Chen, Pramod Kumar Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

A pyramid approach for multimodality image registration based on mutual information is presented. The image pyramid is obtained by using the wavelet transform. An exhaustive search algorithm at the coarsest level of the image pyramid is developed. Image partitioning and gray level intensity binning are used to increase the fidelity of the process. Because of the fact that image partitioning is used, our algorithm has the potential to be parallelized and implemented on a multiprocessor computer. Our algorithm has been applied on remotely sensed images. The results show that our algorithm performs fairly well.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd International Conference on Information Fusion, FUSION 2000
PublisherIEEE Computer Society
Volume1
DOIs
StatePublished - 2000
Event3rd International Conference on Information Fusion, FUSION 2000 - Paris, France
Duration: Jul 10 2000Jul 13 2000

Other

Other3rd International Conference on Information Fusion, FUSION 2000
CountryFrance
CityParis
Period7/10/007/13/00

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Keywords

  • image fusion
  • image pyramid
  • Image registration
  • mutual information
  • wavelet transforms

ASJC Scopus subject areas

  • Information Systems

Cite this

Chen, H. M., & Varshney, P. K. (2000). A pyramid approach for multimodality image registration based on mutual information. In Proceedings of the 3rd International Conference on Information Fusion, FUSION 2000 (Vol. 1). [862613] IEEE Computer Society. https://doi.org/10.1109/IFIC.2000.862613