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Proposal of the LMedS Hough Transform

机译：LMedS Hough变换的提案

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Pattern extraction based on the Hough transform has the excellent property that it is robust to noise and also to the occlusions in the image pattern. On the other hand, the Hough transform has an important problem as regards accuracy due to its discrete representation, which has long been discussed. This paper proposes the LMedS Hough transform, a new algorithm which uses a robust statistic as the criterion for the likelihood of the straight line. The method is not constrained by the majority principle of the conventional Hough transform, and it provides a possibility of pattern detection which differs from the Hough transform considered up to the present. It is noted that the LMedS Hough transform retains the characteristics of the conventional Hough transform, such as its global property. This paper describes the basic principles and details of the proposed algorithm and analyzes its performance from the theoretical and experimental viewpoints.
机译：基于霍夫变换的图案提取具有优异的性能，即它对噪声以及图像图案中的遮挡都是鲁棒的。另一方面，霍夫变换由于其离散表示而在准确性方面具有重要的问题，对此已经进行了长期讨论。本文提出了LMedS Hough变换，这是一种新算法，该算法使用鲁棒统计量作为直线可能性的判据。该方法不受常规霍夫变换的多数原理的限制，并且它提供了与迄今为止所考虑的霍夫变换不同的模式检测的可能性。注意，LMedS Hough变换保留了传统Hough变换的特性，例如其全局属性。本文描述了该算法的基本原理和细节，并从理论和实验的角度分析了其性能。

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