给出一种基于统计变形模型的生物医学数据恢复算法。
A biomedical data restoration algorithm based on statistical deformable model is proposed.
此模型由一“破坏指标”表示，它是最大变形和累积能量耗损两个参数的非线性函数，其统计特性服从威布尔分布。
This model is represented in terms of a "damage index" which is a nonlinear function of maximum deformation and accumulated energy dissipation, and follows Weibull distribution.
根据这种观点，建立了变形信息分布的统计模型。
Based on these points, statistical distribution model for deformation information is established.
提出一种通用的融合基于可变形模型及区域特征统计的自动图像分割方案。
A general purpose automatic image segmentation scheme that integrates deformable models and region statistics was proposed.
在研究测量误差分析、模型误差统计检验、变形分析、可靠性分析和优化设计等问题中，经常需要对统计量分布的非中心参数进行估计。
The noncentral parameter of statistic distribution often needs to be estimated in error analysis, statistical test, deformational analysis, reliability analysis, and optimum design, etc.
在实测资料统计分析基础上，建立了高陡山区房柱法地下开采岩体移动变形预测分析模型，并给出了岩体变形破坏的极限值。
The theoretical formulas are developed and applied to the prediction of the rock mass displacements and deformations due to underground mining by pillar-and-room method in mountain areas.
将粒子群算法引入大坝安全监控领域，并结合多元回归统计模型，建立基于粒子群算法的混凝土坝变形预报模型。
A concrete dam deformation forecasting model is established based on the particle swarm optimization (PSO) algorithm and the traditional multi-statistical regression model.
将粒子群算法引入大坝安全监控领域，并结合多元回归统计模型，建立基于粒子群算法的混凝土坝变形预报模型。
A concrete dam deformation forecasting model is established based on the particle swarm optimization (PSO) algorithm and the traditional multi-statistical regression model.
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