Algorithms for subpixel registration
Computer Vision, Graphics, and Image Processing
Practical first-difference edge detection with subpixel accuracy
Image and Vision Computing
A geometric approach to subpixel registration accuracy
Computer Vision, Graphics, and Image Processing
A simple approach for the estimation of circular arc center and its radius
Computer Vision, Graphics, and Image Processing
Design of Fiducials for Accurate Registration Using Machine Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Detection and Localization of Circular Landmarksin Aerial Images
International Journal of Computer Vision
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Sub/spl mu/m registration between circularly symmetric fiducial marks can be achieved simply by finding their centroids by fitting circles to distributed edge positions determined by the second-derivative zero-crossing method. However, because of diffraction fringes, substantial errors originating in the tilt of the microscope optical axis must be minimized. This method is used for laser-fibre alignment tolerance studies.