The Thin Plate Spline warping based Image Morphing algorithm is the best choice.

RGB Color Calibration for Quantitative Image Analysis: The “3D Thin-Plate Spline” Warping Approach

In the last years the need to numerically define color by its coordinates in n-dimensional space has increased strongly. Colorimetric calibration is fundamental in food processing and other biological disciplines to quantitatively compare samples' color during workflow with many devices. Several software programmes are available to perform standardized colorimetric procedures, but they are ofte...

Thin Plate Spline Approximation for Image Registration

The point based registration technique of Book stein can be seen as an interpolation problem With this technique an elastic transformation based on thin plate splines is determinedwhich maps the source and target land marks exactly to each other However in real applications the positions of the landmarks can only be determined ap proximately Therefore in this case an interpolation scheme is ina...

Landmark and Intensity-Based, Consistent Thin-Plate Spline Image Registration

Landmark-based thin-plate spline image registration is one of the most commonly used methods for non-rigid medical image registration and anatomical shape analysis. It is well known that this method does not produce a unique correspondence between two images away from the landmark locations because interchanging the role of source and target landmarks does not produce forward and reverse transf...

Approximate Thin Plate Spline

Magnetic Resonance Image Segmentation with Thin Plate Spline Thresholding

The segmentations by human, TPS method, and SPM method are given in Figure 3. The summary table for all the coefficients and indices is given in Table 1, which shows that the performance of TPS is similar to that of SPM by comparing against manual segmentation. Also, the TPS segmentations tend to have smaller variances than the SPM segmentations. The subpixel property of TPS method is shown in ...