Title :
Image registration by "Super-curves"
Author :
Xia, Minghui ; Liu, Bede
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
fDate :
5/1/2004 12:00:00 AM
Abstract :
We solve the 2-D affine image registration problem by curve matching and alignment. Our approach starts with a super-curve, which is formed by superimposing two affine related curves in one coordinate system. We use B-spline fusion technique to find a single B-spline approximation of the super-curve and a registration between the two curves simultaneously. This approach achieves superior accuracy and efficiency in curve matching and alignment. We then address the occlusion problem by finding partial match between the curves segmented using inflections and cusps, which are affine invariant. The combination of edge detection and curve alignment lead to accurate image registration.
Keywords :
image matching; image registration; image segmentation; splines (mathematics); 2D affine image registration problem; B-spline approximation; B-spline fusion technique; coordinate system; curve alignment; curve matching; edge detection; image registration; super curves; Biomedical imaging; Image edge detection; Image registration; Image segmentation; Interpolation; Pattern recognition; Pixel; Shape; Spline; Synthetic aperture radar; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2003.822611