A New Feature Descriptor for Multimodal Image Registration Using Phase Congruency

A robust feature-based registration method of multimodal image using phase congruency and coherent point drift

This paper presents a new feature matching algorithm for nonrigid multimodal image registration. The proposed algorithm first constructs phase congruency representations (PCR) of images to be registered. Then scale invariant feature transform (SIFT) method is applied to capture significant feature points from PCR. Subsequently, the putative matching is obtained by the nearest neighbour matching...

Multimodal Image Registration Using a Variational Approach

This paper presents an approach to obtain a deformation which matches two images acquired from different medical imaging modalities. This problem arises in the investigation of human brains. Two distance functionals for the images are proposed with different pros and cons. These functionals are to be minimized. We add a smoothing term to the minimization problem which retains certain desired el...

A New Feature Based Image Registration Algorithm

This paper introduces a new featurebased image registration algorithm which registers images by finding rotation and scale invariant features and matches them using an evidence accumulation process based on the Generalized Hough Transform. Once feature correspondence has been established, the transformation parameters are then estimated using Non-linear least squares (NLLS) and the standard RAN...

Probabilistic complex phase representation objective function for multimodal image registration

An interesting problem in computer vision is that of image registration, which plays an important role in many vision-based recognition and motion analysis applications. Of particular interest among data registration problems are multimodal image registration problems, where the image data sets are acquired using different imaging modalities. There are several important issues that make real-wo...

Image Surface Extremal Points, new feature points for Image Registration