Optimal Line Fitting and Reliability Evaluation
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概要
- 論文の詳細を見る
Introducing a mathematical model of image noise, we formalize the problem of fitting a line to point data as statistical estimation. It is shown that the reliability of the fitted line can be evaluated quantitatively in the form of the covariance matrix of the parameters. We present a numerical scheme called renormalization for computing an optimal fit and at the same time evaluating its reliability. We also present a scheme for visualizing the reliability of the fit by means of the primary deviation pair and derive an analytical expression for the reliability of a line fitted to an edge segment by using an asymptotic approximation. Our method is illustrated by showing simulations and real-image examples.
- 社団法人電子情報通信学会の論文
- 1996-09-25
著者
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KANATANI Kenichi
Department of Computer Science, Okayama University
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Kanazawa Yasushi
Department Of Knowledge-based Information Engineering Toyohashi University Of Technology
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Kanazawa Yasushi
Department Of Information And Computer Engineering Gunma College Of Technology
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Kanatani Kenichi
Department Of Computer Science Gunma University
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