A neural net approach to computation of two dimensional image moments is presented.
提出了一种计算二维图象矩的神经网络方法。
This paper presents a new approach to determining the moments of inertia of the control surface or tab about its hinge line.
本文提供了一种试验测定操纵面或调整片绕自身铰链轴线的转动惯量的新方法。
An approach of background estimation is presented using characters of random variable moments and applied in moving object detection under static background.
利用随机变量的各阶矩的性质，构造了一种基于高阶统计量的背景估计方法，并将其应用于静态背景下的运动目标检测。
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