On designing an isotropic fiducial mark

[[abstract]]In this paper, the Cramer-Rao Lower Bound (CRLB) of image registration error using an isotropic fiducial mark is derived. The derived CRLB is a functional of the intensity profile of the fiducial mark. Following the development of the CRLB, a new method for designing an isotropic fiducial mark, suitable for digital image registration is presented. A parameterization method of the fiducial intensity profile is introduced which guarantees no aliasing effect when the fiducial mark is digitized with proper sampling rate. A method for computing the fiducial intensity profile, based on minimization of the CRLB registration error, and subject to certain practical constraints is developed. For imaging systems with significant low-pass effect, it is proposed in this paper to pre-emphasize the high frequency components of the fiducial mark by converting the designed gray-scale fiducial marks into binary fiducial marks. Experimental results show that the designed fiducial mark can provide very accurate registration results and that the registration accuracy is independent of its location.[[note]]SC

On designing an isotropic fiducial mark

[[abstract]]In this paper, the Cramer-Rao Lower Bound (CRLB) of image registration error using an isotropic fiducial mark is derived. The derived CRLB is a functional of the intensity profile of the fiducial mark. Following the development of the CRLB, a new method for designing an isotropic fiducial mark, suitable for digital image registration is presented. A parameterization method of the fiducial intensity profile is introduced which guarantees no aliasing effect when the fiducial mark is digitized with proper sampling rate. A method for computing the fiducial intensity profile, based on minimization of the CRLB registration error, and subject to certain practical constraints is developed. For imaging systems with significant low-pass effect, it is proposed in this paper to pre-emphasize the high frequency components of the fiducial mark by converting the designed gray-scale fiducial marks into binary fiducial marks. Experimental results show that the designed fiducial mark can provide very accurate registration results and that the registration accuracy is independent of its location.[[note]]SC