A survey of image registration techniques
ACM Computing Surveys (CSUR)
Automatic Classification of Single Facial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation invariant texture classification using even symmetric Gabor filters
Pattern Recognition Letters
An approach to multimodal biomedical image registration utilizing particle swarm optimization
IEEE Transactions on Evolutionary Computation
Parameter selection and adaptation in Unified Particle Swarm Optimization
Mathematical and Computer Modelling: An International Journal
IEEE Transactions on Image Processing
Sparse geometric image representations with bandelets
IEEE Transactions on Image Processing
Image registration using the Walsh transform
IEEE Transactions on Image Processing
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Image registration is an important step in medical image processing. In this paper, a new correlation-based method using the geometric flow and Gabor filter is proposed for multimodal medical image registration. Firstly, the geometric flow is employed to take advantage of the image regularity. Then the Gabor filter is adopted along different directions to yield a family of filtered images. A feature image, i.e. a weighted combination of these filtered images, is calculated according to the geometric flow. After computing the correlation coefficient between the feature images, the optimal transformation will be found using the particle swarm optimization. The scheme is verified on both simulated and real images. The experimental results demonstrate that this method can accurately register the multimodal medical images. Compared with the up-to-date Walsh transform method, this scheme can reduce translation error by 1.58 pixels, and rotation error by 1.36 degrees.