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A correct description of the acquisition geometry is also required for the fluoroscopic and nuclear imaging c-arm, to prevent resolution loss, image deformation, and co-registration errors.
Note only minor image deformation.
At the heart of our approach, is a multi-stroke curve beautification method and a curve-based image deformation algorithm.
The third phase term is the range shift term which should be compensated to reduce the image deformation.
It is significantly important to explore the utility of these geometrically derived regularization terms in the field of image deformation.
A wide range of 2D surface and 3D image deformation algorithms have been developed, all of which involve design choices that are subject to debate.
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Experiment demonstrated that the threshold criterion (9) should be set within limits (9) for insignificant image deformations and within limits (10) in case of more substantial deformations.
Among the proposed local image features, the SIFT-based features [27] are most invariant to image rotation and robust to changes in scale, illumination, and other image deformations.
Multimode ultrasound viscoelastography (MUVE) uses focused ultrasound pulses to both generate and image deformations within soft hydrogels non-invasively, at sub-millimeter resolution, and in 3D.
Because of the strong field between the sample and the objective lens, even a small tilt of the sample generates a parasitic dipole field, which decreases resolution and causes image deformations.
In the literature, there have been a lot of different robust local image features proposed, among which the SIFT-based features possess the best results compared with other local features in the context of matching and recognition under various image deformations [35].
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