Within-modality registration using intensity-based cost functions
Handbook of medical imaging
Across-modality registration using intensity-based cost functions
Handbook of medical imaging
Simultaneous registration and activation detection: overcoming activation-induced registration errors in functional mri
Efficient least squares fusion of MRI and CT images using a phase congruency model
Pattern Recognition Letters
NPAR '08 Proceedings of the 6th international symposium on Non-photorealistic animation and rendering
Robust Multimodal Registration Using Local Phase-Coherence Representations
Journal of Signal Processing Systems
Fast phase-based registration of multimodal image data
Signal Processing
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The weighted sum of squared differences cost function is often minimized to align two images with overlapping fields of view. If one image is shifted with respect to the other, the cost function can be written as a sum involving convolutions. This paper demonstrates that performing these convolutions in the frequency domain saves a significant amount of processing time when searching for a global optimum. In addition, the method is invariant under linear intensity mappings. Applications include medical imaging, remote sensing, fractal coding, and image photomosaics.