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Design of Fiducials for Accurate Registration Using Machine Vision
December 1990 (vol. 12 no. 12)
pp. 1196-1200
ASCII Text
x 
 
C.B. Bose, I. Amir, "Design of Fiducials for Accurate Registration Using Machine Vision," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 12, pp. 1196-1200, December, 1990.
 
 
BibTex
x
 
@article{ 10.1109/34.62609,
author = {C.B. Bose and I. Amir},
title = {Design of Fiducials for Accurate Registration Using Machine Vision},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {12},
number = {12},
issn = {0162-8828},
year = {1990},
pages = {1196-1200},
doi = {http://doi.ieeecomputersociety.org/10.1109/34.62609},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - Design of Fiducials for Accurate Registration Using Machine Vision
IS - 12
SN - 0162-8828
SP1196
EP1200
EPD - 1196-1200
A1 - C.B. Bose,
A1 - I. Amir,
PY - 1990
KW - fiducials; machine vision; shape; size; standard feature; centroid; subpixel registration accuracy; computer vision; computerised pattern recognition
VL - 12
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 

The effect of the shape and size of a standard feature (fiducial) on the positional accuracy of the centroid in machine-vision applications is studied. It is shown that a circular fiducial provides superior subpixel registration accuracy among the fiducial shapes typically used today.

[1] 1196P. D. Hyde and L. S. Davis, "Subpixel edge estimation,"Pattern Recognition, vol. 16, no. 4, pp. 413-420, 1983.[2] I. Overington and P. Greenway, "Practical first-difference edge detection with subpixel accuracy,"Image Vision Computing, vol. 5, pp. 217-224, 1987.[3] C. A. Berenstein, L. N. Kanal, D. Lavine, and E. Olson, "A geometric approach to subpixel registration accuracy,"Comput. Vision Graphics Image Processing, vol. 40, no. 3, pp. 334-360, 1987.[4] Q. Tian and M.N. Huhns, "Algorithms for subpixel registration,"Comput. Vision, Graphics, Image Processing, vol. 35, pp. 220-233, Aug. 1986.[5] J. W. Hill, "Dimensional measurements from quantized images," inMachine Intelligence Research Applied to Industrial Automation (SRI 10th Report for NSF Grant DAR78-27128), D. Nitzanet al., 1980, pp. 75-105.[6] H. S. Ranganath, "Hardware implementation of image registration algorithms,"Image Vision Comput., vol. 4, no. 3, pp. 151-158, 1986.[7] C. Ho, "Precision of vision system," in1982 Workshop Industrial Applications of Machine Vision Conf. Rec., IEEE Cat. No. 82CH1755-8, pp. 153-159.

Index Terms:
fiducials; machine vision; shape; size; standard feature; centroid; subpixel registration accuracy; computer vision; computerised pattern recognition
Citation:
C.B. Bose, I. Amir, "Design of Fiducials for Accurate Registration Using Machine Vision," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 12, pp. 1196-1200, Dec. 1990, doi:10.1109/34.62609
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