A pyramid approach for multimodality image registration based on mutual information

Author

Chen, Hua-Mei ; Varshney, Pramod K.

Author_Institution

Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA

Volume

1

fYear

2000

fDate

10-13 July 2000

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.

Keywords

image registration; wavelet transforms; gray level intensity binning; image partitioning; image pyramid; image registration; multimodality; pyramid approach; remotely sensed images; search algorithm; Image processing; Image registration; Image sensors; Mutual information; Object detection; Partitioning algorithms; Robustness; Sensor fusion; Sensor phenomena and characterization; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on

Conference_Location

Paris, France

Print_ISBN

2-7257-0000-0

Type

conf

DOI

10.1109/IFIC.2000.862613

Filename

862613