2022
DOI: 10.1007/s40314-022-02020-z
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Edge sketches for multi-modal image registration based on Blake–Zisserman type energy

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Cited by 2 publications
(2 citation statements)
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“…Then, we approximate the first-order and second-order regularization terms by using the forward difference, central difference, mid-point rule, and Dirichlet boundary conditions. For more information and details, the reader is referred to Lajili et al 36 and Zhang et al 37 overcome these limitations by a multilevel technique, which assures the numerical solution serves as a perfect starting point and speeds up the registration process. Indeed, starting with the initial guess U = 0, the idea is to improve this guess by resizing the original images to a sequence of coarser ones where computations are cheap and register these smaller images (see Figure 3).…”
Section: Gauss-newton Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Then, we approximate the first-order and second-order regularization terms by using the forward difference, central difference, mid-point rule, and Dirichlet boundary conditions. For more information and details, the reader is referred to Lajili et al 36 and Zhang et al 37 overcome these limitations by a multilevel technique, which assures the numerical solution serves as a perfect starting point and speeds up the registration process. Indeed, starting with the initial guess U = 0, the idea is to improve this guess by resizing the original images to a sequence of coarser ones where computations are cheap and register these smaller images (see Figure 3).…”
Section: Gauss-newton Methodsmentioning
confidence: 99%
“…Then, we approximate the first‐order and second‐order regularization terms by using the forward difference, central difference, mid‐point rule, and Dirichlet boundary conditions. For more information and details, the reader is referred to Lajili et al 36 and Zhang et al 37
…”
Section: Numerical Experimentsmentioning
confidence: 99%