Sub pixel accuracy of fiducial marks using least square estimator

An image processing architecture has been developed that executes a concatenated algorithm to determine the presence of multiple fiducial marks on an image plane, locates the estimated position of the fiducial marks in the image, calculates subpixel accuracy of the fiducial mark, and translates the x and y coordinates of the fiducial marks to absolute distance and phase relationships between fiducial marks. The fiducial mark is an object with an outer circular boundary and two inner lines that intersect to provide an object with symmetry. This symmetry is crucial for the requirements of rotation and scaling invariant, specifically for the process of identifying the presence of the fiducial mark in the image plane. Video is used for imagery of the fiducial marks.

[1]  Klaus Spinnler,et al.  Class of algorithms for real-time subpixel registration , 1993, Other Conferences.

[2]  S. Hassan,et al.  Subpixel Image Registration by Estimating the Polyphase Decomposition of the Cross Power Spectrum , 1995 .

[3]  Tetsuya Kuno,et al.  A new automatic exposure system for digital still cameras , 1998 .

[4]  T. Komuro,et al.  A new algorithm for exposure control based on fuzzy logic for video cameras , 1992 .

[5]  David I. Havelock,et al.  Geometric Precision in Noise-Free Digital Images , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Douglass J. Wilde,et al.  Foundations of Optimization. , 1967 .

[7]  M. Orchard,et al.  Subpixel registration of images , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[8]  M. Tichem,et al.  Subμm Registration of Fiducial Marks Using Machine Vision , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Qi Tian,et al.  Algorithms for subpixel registration , 1986 .

[10]  Masayuki Murakami,et al.  An exposure control system of video cameras based on fuzzy logic using color information , 1996, Proceedings of IEEE 5th International Fuzzy Systems.

[11]  L. O'Gorman,et al.  Subpixel registration using a concentric ring fiducial , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[12]  Israel Amir,et al.  Design of Fiducials for Accurate Registration Using Machine Vision , 1990, IEEE Trans. Pattern Anal. Mach. Intell..