1 February 2006 Object center variation and estimation in noisy environment
Author Affiliations +
Optical Engineering, 45(2), 027201 (2006). doi:10.1117/1.2166648
Formulas for description of center drift and for computing other geometric quantities of a binary object are derived for the purpose of estimating the location of the original object center, area of the object, and noise level in a noisy environment. Simulations support the theory. The coordinates of the object center estimated by the formulas are more accurate than those produced by median filtering. Consequently, more accurate object features are obtained. The formulas also lead us to conclude that when the object center coincides with the geometric center of the input plane, the object center does not drift, regardless of noise level. An optimal formation of concentric circles used for extraction of object features and for subpixel registration is also proposed.
Neng-Chung Hu, Hong-I Chang, Cheng-Yeu Huang, "Object center variation and estimation in noisy environment," Optical Engineering 45(2), 027201 (1 February 2006). http://dx.doi.org/10.1117/1.2166648

Digital filtering

Feature extraction

Optical engineering

Computer simulations

Image processing

Algorithm development

Binary data

Back to Top