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估计位移
相关语句
  translation estimation
     Translation estimation by phase-shifting of Fourier transform
     用傅里叶相移特性估计位移
短句来源
  “估计位移”译为未确定词的双语例句
     Method A search method was proposed to find the optimal window size for image matching.
     方法提出一种搜索算法来选择使相关估计位移最优的窗尺寸,称为窗优化散斑追踪法(STAWOWS:speckletrackingalgorithmwithoptimalwindowsize)。
短句来源
  相似匹配句对
     b) a G-M estimator of ω'1α, ω'2β and ω'1α+ω'2β under L (Xβ, Aα; δ21V, δ22U} respectively.
     b)G-M估计
短句来源
     Adaptive Filtering Algorithm of Distance Estimation
     位移估计自适应滤波算法
短句来源
     Study on the Inelastic Displacement Estimation of Aseismatic Structures
     抗震结构非弹性位移估计研究
短句来源
     \$ estimation.
     估计的残差
短句来源
     AN ANALYSIS OF DISPLACEMENT
     位移分析
短句来源
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  translation estimation
For example, our translation estimation technique would fail on large interimage scaling or rotation about the optical axis.
      
Thus a translation estimation method which uses spatio-temporal filtering can be naturally implemented in the visual system.
      
The second is in extending initial translation estimation to handle rotations and scale changes.
      


Based on the time series analysis method,this paper discusses the prediction of slope displacement,which is considered as a random process. The computation results show that this method is reasonable in the predication of slope displacement,and the prediction reliability is good.

将边坡位移{xt}看成是一系列时刻t1,t2,t3…,tn得到的时间序列,采用时间序列分析方法,对其进行模型识别、参数估计、位移预报.由于该法认为时间序列是一随机过温,可以通过概率分布函数对其取值的规律性作统计描述,能体现边坡位移预报的随机性和不确定性,从而突破传统的边坡位移预报的确定性分析方法.计算结果表明:该法预报精度高,可靠性强,考虑因素全面,是一种行之有效的方法.

Objective To establish a novel speckle tracking algorithm for estimating myocardial motion. Method A search method was proposed to find the optimal window size for image matching. Simulation and clinical experiment were conducted to demonstrate the validity of this algorithm. Result The optimal window size for image matching was determined using this algorithm. Correct speckle tracking could be fulfilled with the algorithm proposed. Conclusion The method proposed in this paper is effective for specking tracking....

Objective To establish a novel speckle tracking algorithm for estimating myocardial motion. Method A search method was proposed to find the optimal window size for image matching. Simulation and clinical experiment were conducted to demonstrate the validity of this algorithm. Result The optimal window size for image matching was determined using this algorithm. Correct speckle tracking could be fulfilled with the algorithm proposed. Conclusion The method proposed in this paper is effective for specking tracking.

目的给出一种自动选择相关窗尺寸的散斑追踪方法用于心肌运动估测。方法提出一种搜索算法来选择使相关估计位移最优的窗尺寸,称为窗优化散斑追踪法(STAWOWS:speckletrackingalgorithmwithoptimalwindowsize)。通过对仿真数据和实际临床数据的处理,对该方法的有效性进行了验证。结果该方法能够选取到使相关估计位移结果最优的窗尺寸,能够比较准确地对实际B超图像中的散斑实现追踪。结论这种方法是一种有效的散斑追踪方法。

An algorithm which is used to estimate the translation of a moving object in spatial domain according to its Fourier transform spectrum is proposed in the paper. Based on shift theorem of Fourier transform and auto-registration, the algorithm directly estimates the translation with the phase spectrum difference of continuous images of a moving object in a polar coordinate system. Compared with traditional algorithm which has to search Direc peak, this method needs not transform spectrum to spatial domain after...

An algorithm which is used to estimate the translation of a moving object in spatial domain according to its Fourier transform spectrum is proposed in the paper. Based on shift theorem of Fourier transform and auto-registration, the algorithm directly estimates the translation with the phase spectrum difference of continuous images of a moving object in a polar coordinate system. Compared with traditional algorithm which has to search Direc peak, this method needs not transform spectrum to spatial domain after calculation, which reduces processing time. Experiments prove that since the results of the algorithm are shown by periods, it can give the displacement of a moving target with a resolution less than 1 pixel. It is also proved that the algorithm is simple and fast and can be used in image tracking and post- image processing.

提出了一种从频率域出发,估计出运动物体在空间域位移的算法。利用傅里叶变换的自配准性质和位移特性,用极坐标形式下连续图像相位谱的差直接估计运动目标的位移。与传统的寻找迪拉克峰值的方法相比,本方法无需重新变换回空间域,从而节省了处理时间,具有更好的实时性。实验证明,这种先求出相位谱的差,再用其周期数来估计位移的算法简单明了,其分辨能力不低于一个像素。该理论可以应用于图像跟踪和图像后期处理中。

 
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