Registration Using Segment Intensity Remapping and Mutual Information

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A method for processing images prior to normalized mutual information based registration and an enhancement of the registration measure are presented. The method relies on k-means clustering of the intensity distribution and a gray-value remapping of spatially unconnected segments of similar intensity. Registration experiments using binary images from the MPEG-7 dataset and retinal images show our preprocessing to cause a signiﬁcant reduction of the number of misregistrations without loss of accuracy or an increase in optimization steps.

Zeger F. Knops, J. B. Antoine Maintz, Max A. Vierg

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Intensity Distribution | Medical Imaging | MICCAI 2004 | Normalized Mutual Information | Registration Measure |

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Added	02 Jul 2010
Updated	02 Jul 2010
Type	Conference
Year	2004
Where	MICCAI
Authors	Zeger F. Knops, J. B. Antoine Maintz, Max A. Viergever, Josien P. W. Pluim

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Registration Using Segment Intensity Remapping and Mutual Information

Intensity Distribution | Medical Imaging | MICCAI 2004 | Normalized Mutual Information | Registration Measure |

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