Multi-Variate Cross-Correlation and Image Matching. | Zendy

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Multi-Variate Cross-Correlation and Image Matching.

Author(s) -

RB Fisher,

Paul Oliver

Publication year - 1995

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.9.62

Subject(s) - artificial intelligence , monochrome , matching (statistics) , pattern recognition (psychology) , correlation , computer science , image (mathematics) , computer vision , random variate , contrast (vision) , rgb color model , mathematics , euclidean distance , statistics , random variable , geometry

This paper introduces the use of a multi-variate correlation function for region-based image matching and extends it to a modified crosscorrelation function that works well when matching image areas are required have the same intensity contrast. It also shows that the multivariate case is a straightforward generalisation of the monochrome image case. Experiments with both MRI and RGB colour imagery are shown, along with comparisons with the Euclidean, Manhatten and Loo matching metrics.

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