A pyramid approach to subpixel registration based on intensity
- 1 January 1998
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 7 (1) , 27-41
- https://doi.org/10.1109/83.650848
Abstract
We present an automatic subpixel registration algorithm that minimizes the mean square intensity difference between a reference and a test data set, which can be either images (two-dimensional) or volumes (three-dimensional). It uses an explicit spline representation of the images in conjunction with spline processing, and is based on a coarse-to-fine iterative strategy (pyramid approach). The minimization is performed according to a new variation (ML*) of the Marquardt-Levenberg algorithm for nonlinear least-square optimization. The geometric deformation model is a global three-dimensional (3-D) affine transformation that can be optionally restricted to rigid-body motion (rotation and translation), combined with isometric scaling. It also includes an optional adjustment of image contrast differences. We obtain excellent results for the registration of intramodality positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) data. We conclude that the multiresolution refinement strategy is more robust than a comparable single-stage method, being less likely to be trapped into a false local optimum. In addition, our improved version of the Marquardt-Levenberg algorithm is faster.Keywords
This publication has 43 references indexed in Scilit:
- A pyramid approach to sub-pixel image fusion based on mutual informationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Statistical analysis of image differences by wavelet decompositionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Study of the precision of registration in 3-D multimodality imaging with external markers using simulated imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Object modeling by registration of multiple range imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Alignment by maximization of mutual informationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Automated subpixel image registration of remotely sensed imageryIBM Journal of Research and Development, 1994
- Motion detection in image sequences acquired from a moving platformPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Matching of tomographic slices for interpolationIEEE Transactions on Medical Imaging, 1992
- Improving resolution by image registrationCVGIP: Graphical Models and Image Processing, 1991
- Predicting and estimating the accuracy of a subpixel registration algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990