重心法

该算法综合了重心法估算的简单性和尺度空间分析法的准确性等特点，特别适合在边界模糊、强噪声条件下的应用。

The algorithm has both simplicity ( as of centroid algorithms ) and accuracy ( as of scale space analysis methods ) properties , and is suited in blurred and noisy conditions .

物流中心；选址问题；重心法模型；层次分析法；实例分析。

Logistics Center , Site-selection , Model for Centroid Method , Analytic Hierarchy Process , Case Analysis .

基于Hilbert能量重心法的轴承状态识别方法研究

Condition recognition of rolling bearing based on Hilbert energy spectrum gravity center

在总结各种检测算法的基础上，基于重心法使用FPGA实现了低信噪比红外光斑中心的实时检测。

There is a way to realize real-time detec - tion for low SNR infrared spot using FPGA based on gravity model .

在利用改进的SUSAN算子进行亚像素角点检测时，综合应用了索贝尔边缘算子、灰度平方重心法等方法。

Sobel operator and gray square centrobaric arithmetic were synthesized with the improved SUSAN operator in subpixel corner detection .

采取重心法选址模型、多目标模型（AHP方法）、密切值法等方法相结合，解决多目标多配送中心选址问题。

With combination of gravity method , AHP method and topsis method etc. , the paper solves the problem of location decision of multi-object and multi-distribution centres .

以面阵CCD为传感器，检测光纤端部出射光斑，采用重心法提取光斑的特征点表征光纤的位置。

With planar array CCD sensor , exit spot from optic fiber end is detected through extracting the characteristic points of spot for characterizing the position of optic fiber .

最后通过FPGA的硬件时序仿真，验证了频谱重心法的有效性。在基于实用的情况下，提出了两种解决方法，其中一种通过硬件时序设计完成，另一种则是进行软件拼接。

Finally , the timing simulation , the frequency center of gravity implemented by FPGA is given . Based on practicality , two solutions are introduced , one from hardware and the other from software .

Chirpscaling算法也是从方位傅里叶变换开始的，所以能量重心法可以与它有机地结合起来，从而大大减少运算量。

Since the Chirp Scaling algorithm also begins with the azimuth FFT , the energy center method can be integrated with it , which will greatly reduce the amount of operation .

在重心法解模糊化的过程中，通常需要使用Riemann和或者数值积分来近似计算定积分的值。

In the process of gravity method defuzzification , Riemann sum or numerical integration formulas are often used to approximate the value of the definite integral .

作为一种激光定位系统，该系统采用光斑定位技术，以CMOS图像传感器作为光斑定位器件并用重心法求光斑位置。

As a kind of laser-positioning system , the system collects the facula image by CMOS Image Sensor . And the precise position of the facula can be worked out with center of gravity method .

针对图像背景噪声强的特点，提出了一种基于感兴趣区域（ROI）的结构光条纹中心处理方法，即在ROI内用最大类间方差法进行阈值分割再用重心法进行细化。

Aim at removing the background noise in the large measuring range system ( about2m ), a method which combines Otsu based on ROI and gray barycenter method is proposed .

根据SOFM（self-organizingfeaturemap）神经网络的特点，结合重心法提出了解决LA问题的又一个新算法&结合重心法的SOFM神经网络算法。

According to SOFM ( self-organizing feature map ) neural network features , this paper puts forwards a wholly new algorithm to the LA model - SOFM neural network combined with bar centric method .

分析经典MPPT算法&恒定电压法、扰动观测法、三点重心法及电导增量法。

Classical MPPT algorithms are discussed , including constant voltage method , disturbance and observe method , three center of gravity method and incremental conductance method .

重心法在使用中，不可避免地要受到许多因素的干扰，给测量结果带来误差，如杂散光、气流、温度、暗电流、AD采样的位数等等。

In the usage of center of gravity method , it inevitably will be affected by many factors , and results in error . The factors are light , air , temperature , the resolving power of AD and so on .

检测算法的精度和速度直接影响了测量的精度及速度，传统的检测算法如重心法、Hough变换法等在检测精度或速度上存在不足。

The precision and speed of the detection algorithm affect those of the optical measurement system directly . The traditional algorithms such as gravity model , Hough transform are unsatisfactory under some conditions .

详细分析了基于菲佐（Fizeau）干涉仪测风激光雷达利用条纹重心法反演风速时的方法误差和系统噪声引起的测量误差。

The method error of gravity method and the measurement error due to system shot noise in wind lidar based on Fizeau interferometer are analyzed in detail .

介绍了一个基于Windows操作系统的数据采集软件，该软件用于使用重心法确定位置信息的位置灵敏探测器，具有方便的人机交互界面，使用专用驱动程序采集数据。

This paper introduces a data acquisition software that is based on Windows operation system . This software can be used in position sensitive detectors that determine information of position by the method of barycenter . Furthermore , it has convenient interactive interface and acquire data through its unique driver .

将光刀曲线的法线方向简化为灰度的梯度方向，在该方向上利用灰度重心法求取光刀中心，省去了求Hessian矩阵以确定法向的繁琐计算。

With this method , the normal direction of the stripe can be simplified to the gray level gradient , avoiding thus complicated steps for calculating a Hessian matrix to get the normal direction .

详述了各种亚像素边缘定位方法，采用Zernike正交矩法、B样条拟合法以及灰度重心法，实现刀具几何参数（长度、角度、半径）的亚像素测量。

By discussing many subpixel edge location methods in detail , ZOM ( zernike orthogonal moments ) method 、 B-spline fitting method and gray center method are adopted and finally the geometrical parameters ( lengths 、 angles 、 radiuses ) of cutting tools are measured in subpixel level .

经过计算结果的对比分析发现：结合重心法的SOFM神经网络算法不一定能找到最优解，但是需求点的分类接近最优解；改进的ALA算法对初始解仍有一定的依赖性。

Through comparison and analysis of the calculation results , SOFM neural network combined with bar centric method may not be able to find optimal solution , but demand centers clusters gotten by it are nearly optimal classification ;

对于配送中心定量选址模型如重心法选址模型、固定设施选址模型（CFLP）、鲍莫尔-沃尔夫（Baumol-Wolfe）模型本文也进行了阐述。

Distribution center location models for the quantitative analysis such as location model of gravity method , fixed-facility location model ( CFLP ), Baumol-Wolfe have also been described .

系统通过对电子枪光点信号的RGB颜色空间的采样分析，应用彩色图像的阈值分割识别光点目标图像，并用灰度重心法对光电目标图像进行识别定位。

System by the electron gun system of points of light signals in RGB color space sampling and analysis , application of color image segmentation to identify the threshold target spot image and using center of gravity method gray-scale image of the photoelectric target identification and location .

重心法和模糊层次分析相结合的配送中心选址方法

Distribution Center Location Based on Combining Gravity Method with Fuzzy-AHP Model

该方法通过对焊点及其元器件的定位，采用重心法检测假焊；

Three steps were used to detect the pseudo solder joints .

计算分带序列的重心法程序

A program for calculating zoning sequence by the barycenter method

本文提出了一种改进的灰度重心法来提取圆形标记点在图像平面上投影而成的椭圆中心。

In this paper , an improved intensity barycenter method is presented .

重心法在银山井下库房选址的应用实践

Practice of Application of Center-of-gravity in the Location-selection of Yinshan Underground Depot

震兆分析的地震重心法探索

Seismicity center analysis & a method for exploring earthquake precursors

一种改进的重心法在光带中心提取中的应用

A Improved Barycenter Method Used in Light-trap Center Acquiring