Abstract
Using an image rectification application arising in the field of forest management, we demonstrate in this paper the practical feasibility of applying thin plate spline (TPS) techniques to real image warping problems. The use of TPS‐based warping in large problems can be limited by two factors: numerical instability in the calculation of TPS coefficients, and the intensive computation involved in evaluating TPS functions. Both drawbacks can be overcome by taking advantage of some recent advances in the numerical analysis of radial basis functions. Here we relate our experience in applying some of this work to realize successful TPS warping of large forestry images, and some graphical examples are given. Methods for automated control point selection and editing are also presented, and a cross‐correlation technique for evaluating the effectiveness of the warps is described. This experience has guided our development of an effective and efficient software package for control point selection and TPS warping of digital images.
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