Application of the Warping Methods in Dental Radiology Images Analysis

Abstract

The “image warping” functions are useful techniques to match image objects when there are strong correlations between the positions of these objects in space. In order to do this, a function f, called warping function, is defined and is used to convert a given image into a reference known image. Several types of warping functions are described in the specialized literature – affine function, Procrustes transformation, bilinear transformation, perspective transformation and mosaic transformation. In this work, we present these functions and apply them to process several dental radiology images in a controlled manner, defined by a variation range of parameters.