A pyramid approach for multimodality image registration based on mutual information

Hua Mei Chen; Pramod K. Varshney

doi:10.1109/IFIC.2000.862613

A pyramid approach for multimodality image registration based on mutual information

Hua Mei Chen, Pramod K. Varshney

Department of Electrical Engineering & Computer Science

Research output: Contribution to conference › Paper › peer-review

34 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 language	English (US)
Pages	MoD39-MoD315
DOIs	https://doi.org/10.1109/IFIC.2000.862613
State	Published - 2000
Event	3rd International Conference on Information Fusion, FUSION 2000 - Paris, France Duration: Jul 10 2000 → Jul 13 2000

Other

Other	3rd International Conference on Information Fusion, FUSION 2000
Country/Territory	France
City	Paris
Period	7/10/00 → 7/13/00

Keywords

Image registration
image fusion
image pyramid
mutual information
wavelet transforms

ASJC Scopus subject areas

Information Systems

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10.1109/IFIC.2000.862613

Cite this

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title = "A pyramid approach for multimodality image registration based on mutual information",

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.",

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AU - Varshney, Pramod K.

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N2 - 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.

AB - 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.

KW - Image registration

KW - image fusion

KW - image pyramid

KW - mutual information

KW - wavelet transforms

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T2 - 3rd International Conference on Information Fusion, FUSION 2000

Y2 - 10 July 2000 through 13 July 2000

ER -

A pyramid approach for multimodality image registration based on mutual information

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Keywords

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