characteristic direction meaning in English
特战向
特征方向
Examples
- The characteristic approximation is used to handle the convection part along the direc - tion of fluid namely characteristic direction to ensure the high stability of the method in approximating the sharp fronts and reduce the numerical diffusion ; the mixed finite element spatial approximation is employed to deal with diffusion part and approximate the scalar unknown and the adjoint vector function optimally and simultaneously ; in order to preserve the integral conservation of the method , we introduce the modified characteristic method
该方法对方程的对流部分沿流体流动的方向即特征方向离散以保证格式在流动的锋线前沿逼近的高稳定性，消除数值弥散现象；对方程的扩散部分采用最低次混合有限元方法离散、同时以高精度逼近未知函数及未知函数的梯度；为保证方法的整体守恒性，在格式中引入修正项 - In order to better detect the image edge information , firstly , non ? linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly , ( 3 , 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter , adopting lifting scheme to build the most superior biorthogonal wavelet filter , and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time , floating threshold was defined and applied to the image edge detection , and the image edge position was located accurately
在激光探测系统中，微弱的回波图像淹没在强背景噪声中，为更好地检测这类含噪图像的边缘信息，首先应用特征方向非线性中值滤波技术，滤去高斯噪声；其次，选择( 3 , 1 )双正交样条小波作为原始小波滤波器，采用提升方案构造最优双正交小波滤波器，应用构造的双正交小波进行多尺度小波边缘检测；同时，通过定义浮动阈值，并应用于图像边缘检测，较准确地定位了边缘位置。 - In order to better detect the image edge information , firstly , non - linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly , ( 3 , 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter , adopting lifting scheme to build the most superior biorthogonal wavelet filters and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time , floating threshold was defined and applied to the image edge detection , and the image edge position was located accurately
在激光探测系统中，微弱的回波图像淹没在强背景噪声中，为更好地检测这类含噪图像的边缘信息，首先应用特征方向非线性中值滤波技术，滤去高斯噪声；其次，选择( 3 , 1 )双正交样条小波作为原始小波滤波器，采用提升方案构造最优双正交小波滤波器，应用构造的双正交小波进行多尺度小波边缘检测；同时，通过定义浮动阈值，并应用于图像边缘检测，较准确地定位了边缘位置。