6533b825fe1ef96bd1283226
RESEARCH PRODUCT
Multi-modal Image Registration Using Fuzzy Kernel Regression
Roberto GalleaEdoardo ArdizzoneRoberto PirroneOrazio Gambinosubject
image registration fuzzy kernel regression mutual information clusteringSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryFuzzy setProbabilistic logicImage registrationPattern recognitionMutual informationFuzzy logicKernel (image processing)Kernel regressionArtificial intelligenceCluster analysisbusinessMathematicsdescription
This paper presents a study aimed to the realization of a novel multiresolution registration framework. The transformation function is computed iteratively as a composition of local deformations determined by the maximization of mutual information. At each iteration, local transformations are joint together using fuzzy kernel regression. This technique represents the core of the mothod and it's formally described from a probabilistic perspective. It avoids blocking artifacts and allows to keep the final deformation spatially congruent and smooth. Both qualitative and quantitative experimental results show that this approach is equally effective for registering datasets acquired from both single and multiple diagnostic modalities.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-11-01 |