New Evolutionary-Based Techniques for Image Registration

Contourlet-Based Edge Extraction for Image Registration

Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...

Techniques for Image Registration

Evolutionary Optimisation Methods for Template Based Image Registration

This paper investigates the use of evolutionary optimisation techniques to register a template with a scene image. An error function is created to measure the correspondence of the template to the image. The problem presented here is to optimise the horizontal, vertical and scaling parameters that register the template with the scene. The Genetic Algorithm, Simulated Annealing and Particle Swar...

Diplomarbeit Techniques for Accelerating Intensity - based Rigid Image Registration

One important application of computers in medicine is the merging of various sets of patient data coming from different sources. In the case of image registration, the aim is to determine the translation and rotation by which one data set can be spatially aligned with a second one. Volumetric data (e.g. CT data) can be registered to another volume or to a two-dimensional image (e.g. an X-Ray im...

A Novel Subsampling Method for 3D Multimodality Medical Image Registration Based on Mutual Information

Mutual information (MI) is a widely used similarity metric for multimodality image registration. However, it involves an extremely high computational time especially when it is applied to volume images. Moreover, its robustness is affected by existence of local maxima. The multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...