To solve the problem of ellipse - object - shape parameters detection in noise image, a new detection algorithm using nonlinear data fitting model and cross-reference iterative method is proposed.

为提高噪声环境下椭圆类物体形状检测算法的稳定性与准确性，本文提出非线性数据拟合模型结合交叉参考迭代的新思路。

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An iterative median filtering algorithm based on improved noise detection is presented.

提出了一种基于改进噪声检测的迭代中值滤波算法。

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The necessary conditions for optimum detection for the distributed detection systems are derived, and a numerical iterative algorithm for obtaining the optimum sensor decision rules is presented.

文中给出了融合系统检测性能最优化的必要条件，以及求解最优系统判决规则的数值迭代算法。

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