Iterative Refinement of Transformation Parameters for Image Registration
Jharna Majumdar, Richard A. Dean · 2010
Image registration is an important process in high-level image interpretation systems developed for civilian and defense applications. Registration is carried out in two phases: namely feature extraction and feature correspondence. The basic building block of feature based image registration scheme involves matching feature points that are extracted from a sensed image to their counter parts in the reference image. Features may be control points, corners, junctions or interest points. The objective of this study is to develop a methodology for iterative convergence of transformation parameters automatically between two successive pairs of aerial or satellite images. In this paper we propose an iterative image registration approach to compute accurate and stable transformation parameters that would handle image sequences acquired under varying environmental conditions. The iterative registration procedure was initially tested using satellite images with known transformation parameters like translation, rotation, scaling and the same method is further tested with images obtained from aerial platform.