特征方向的英文

• characteristic direction

• "特征"英文翻译    characteristic; trait; featu ...
• "方向"英文翻译    direction; orientation
• "特征方程" 英文翻译 :    charakteristischen gleichung characteristic equation; eigenequation; proper equation; secular equation
• "特征方程根" 英文翻译 :    root of the characteristic equation
• "矩阵特征方程" 英文翻译 :    characteristic equation of a matrix
• "三次特征方程" 英文翻译 :    cubic characteristic equation
• "方向特征曲线" 英文翻译 :    richtcharakteristik directivitiy
• "编辑扫描特征的扫描方向" 英文翻译 :    edit direction
• "本征方程" 英文翻译 :    eigen equation; eigenequation
• "本征方程式" 英文翻译 :    intrinsic equation
• "课征方法" 英文翻译 :    tax techniques
• "课征方式" 英文翻译 :    tax treatment
• "特征" 英文翻译 :    characteristic; feature; properties; aspect; trait 地理特征 geographical features; 中国人的特征 characteristics of the chinese
• "动作表征方式" 英文翻译 :    enactive representation mode
• "符号表征方式" 英文翻译 :    symbolic representation mode
• "方向" 英文翻译 :    direction; orientation 明确斗争的方向 clarify the orientation of the struggle; 在森林里迷失了方向 lose one's way in the forest; 坚定正确的政治方向 a firm and correct political orientation; 指明前进的方向 point out the way forward; 改变整个世界历史的方向 change the course of world history; 坚持为人民服务的方向 adhere to the orientation of serving the people; 朝这个方向 in this direction; 飞机向相反的方向飞去。 the plane is flying a contrary direction. 迂回曲折的小道使我们迷失了方向。 the winding trail caused us to lose our orientation. 队伍朝西山的方向前进。 the contingent marched in the direction of the western hills
• "特征机, 特征机" 英文翻译 :    characteristic machine
• "特征线，特征谱" 英文翻译 :    characteristic line
• "方向；方向型" 英文翻译 :    directional
• "向…方向,在…方向" 英文翻译 :    in the direction of
• "具有……特征" 英文翻译 :    educator driver swimmer actorery place state or character of grouor collection off
• "匡特征" 英文翻译 :    quant sign
• "模特征" 英文翻译 :    modular character
• "谱特征" 英文翻译 :    spectrum signature
• "群特征" 英文翻译 :    group character

• The anisotropic diffusion methods based on the directions of the image feature
  基于图像特征方向的各向异性扩散滤波方法
• However the damages of image feature - edge , line and wave caused by the hessian method is significantly less
  应用hessain方法提取图像特征方向，减小了图像平滑结果对边、线、波等特征的损害。
• Perona - malik equation extracts image feature direction based on gradient method , which can be very erroneous
  Perona ? malik方程对图像特征方向的提取是基于梯度方法的。基于梯度提取图像特征方向的方法很容易产生错误。
• Squared prediction error ( spe ) of model is detected continuously , in case abnormity is found , currently data direction is calculated by pca method , and compared with fault character direction storeroom , thereby fault is diagnosed
  不断观察模型的平方预测误差( spe ) ，一旦发现异常，利用主元分析方法，求出当前数据的特征方向，并与故障特征方向库进行比较，从而诊断出故障来。
• 3 ) evolves perona - malik equation to the form of weighted smoothing in two orthogonal directions . brings hessian method , which is an approach to extract the image feature direction , into the technology of smoothing image
  3 )推导perona ? malik方程为在相互垂直方向不同程度平滑的形式，将提木于柿微分方程的图街个滑技术及其应用研穴摘要取图像特征方向的hessain方法应用到图像平滑技术中。
• 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。
• The new method is a combination of characteristic approximation to handle the convection part , to ensure the high stability of the method in approximating the sharp fronts and reduce the numerical diffusion , a smaller time truncation is gained at the same time , and a mixed finite element spatial approximation to deal with the diffusion part , the sealer unknown and the adjoint vector function are approximated optimally and simultaneously
  此方法即为对方程的对流项沿流体流动的方向即特征方向进行离散，从而保证格式在流动锋线前沿逼近的高稳定性，消除了数值弥散现象，并得到了较小的时间截断误差；另一方面，对方程的扩散项采用混合元离散，可同时高精度逼近未知函数及其伴随向量函数，理论分析表明，此方法是稳定的，具有最优的l ~ 2逼近精度。
• 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。