Maximum-likelihood estimation of circle parameters via convolution

The accurate fitting of a circle to noisy measurements of circumferential points is a much studied problem in the literature. In this paper, we present an interpretation of the maximum-likelihood estimator (MLE) and the Delogne-Kasa estimator (DKE) for circle-center and radius estimation in terms of...

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Veröffentlicht in:	IEEE transactions on image processing 2006-04, Vol.15 (4), p.865-876
Hauptverfasser:	Zelniker, E.E., Clarkson, I.V.L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Approximation Artificial Intelligence Circle fitting Coding, codes Computer Graphics Computer Simulation Convolution CramÉr-Rao lower bound (CRLB) Detection, estimation, filtering, equalization, prediction Digital Digital images Estimates Estimators Exact sciences and technology Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Information Storage and Retrieval - methods Information, signal and communications theory Inspection Kernel Kernels least squares Least squares approximation Likelihood Functions Mathematical models Maximum likelihood detection Maximum likelihood estimation maximum-likelihood estimation (MLE) Models, Statistical Parameter estimation Pattern Recognition, Automated - methods Signal and communications theory Signal, noise Statistics Statistics as Topic Telecommunications and information theory
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