Journal Article

·2013

A Novel Matching of MR Images Using Gabor Wavelets

Mehmet Ali Akınlar YTU , Muhammet Kurulay YTU , Aydın Seçer YTU , Mehmet Çelenk

IETE Technical Review

Abstract

AbstractThis study introduces a hybrid method for deformable matching of Magnetic resonance (MR) images by utilizing the advantages of both wavelets and variational calculus. Image matching problem is expressed as an optimal control problem and discretization of the resulting Euler-Lagrange equations is written in terms of the system of linear equations in the form of Au = f, where u is the image displacement field. Implementation of the algorithm exploits Gabor wavelet energy maps of MR images. The proposed algorithm provides an efficient MR matching technique. Experimental results proved that the method can match MR images better than the only variational or only wavelet-based methods.

Keywords

Gabor wavelet Computer science Artificial intelligence Wavelet Computer vision Matching (statistics) Gabor filter Pattern recognition (psychology) Wavelet transform Image (mathematics) Mathematics Discrete wavelet transform Statistics

Subject Areas

Image and Signal Denoising Methods ·Computer Vision and Pattern Recognition ·Physical Sciences
Medical Image Segmentation Techniques ·Computer Vision and Pattern Recognition ·Physical Sciences
Image and Video Stabilization ·Computer Vision and Pattern Recognition ·Physical Sciences

Citations by Year

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Affordable and clean energy 89%