Technical Program

Paper Detail

Paper:	SA-PM-PS1.3
Session:	Image Registration
Time:	Saturday, April 8, 13:30 - 14:50
Presentation:	Poster
Title:	Incorporating Spatial Information Into Entropy Estimates to Improve Multimodal Image Registration
Authors:	Nathan Cahill; Eastman Kodak Company
	Cranos Williams; North Carolina State University
	Shoupu Chen; Eastman Kodak Company
	Lawrence Ray; Eastman Kodak Company
	Marvin Goodgame; Eastman Kodak Company
Abstract:	We propose an approach to incorporate spatial information into the estimate of the entropy of an image by partitioning a high-dimensional space into regions over which a one-dimensional histogram can be indexed. This approach obviates the need for the construction of high-dimensional histograms and makes no assumptions on the form of the high-dimensional probability mass function. We use this partitioned estimate of entropy to compute image similarity measures, useful in image registration, and we examine the convergence properties of the registration process.

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