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.


Warping function, Dental radiology, Image processing, Median filter, Adaptive filter