英语释义

1. the differential operator ?2 that yields the left member of Laplace's equation

片语

laplacian spread拉普拉斯谱跨度

laplacian operator[数] 拉普拉斯算符

Laplacian radii拉普拉斯谱半径

Laplacian spectrum拉普拉斯谱

Laplacian Value波形二阶微分数

Laplacian distrbution拉普拉斯分布

laplacian operators[数] 拉普拉斯算符

Laplacian Eigenmap拉普拉斯特征映射

Laplacian integral拉普拉斯积分

英汉例句

• The study of Laplacian matrix is important for graphs 「study because we can estimate many invariants of g, such as connectedness, diameter, bandwidth.

  拉普拉斯矩阵对研究图论之所以重要，是因为可以用其特征值来估计图的诸多不变量，如连通度、直径、带宽等等。

• The experimental results demonstrate that the MSE (mean square error) reduced by this proposed approach decreases 30% - 60% than that by Laplacian pyramid and discrete wavelet transform approaches.

  实验表明该方法融合结果的均方误差比拉普拉斯金字塔算法和小波变换方法降低约30%- 60%。

• To solve this problem we have implemented the texture progressive transmission with the classic Laplacian pyramid.

  为解决这个问题用拉普拉斯金字塔算法和哈尔变换算法实现了纹理递进传输。

• In this paper, we discuss Laplacian smoothing and modified methods, mean curvature flow, PDE method and the smoothing method based on directions.

  在文中，分别讨论了拉普拉斯平滑及其改进算法、平均曲率流、PDE方法及基于方向的平滑算法。

• There are some classic arithmetic such as partly average algorithm, median filter technology, and Laplacian algorithm.

  其经典算法有局部平均法、中值滤波、拉普拉斯算法等。

• The ac coefficients of an image」s Discrete Cosine Transform (DCT) are best approximated by Laplacian distribution model. Based on this model, the blind information hiding algorithm was proposed.

  基于图像离散余弦变换(DCT)交流系数的拉普拉斯分布模型，提出了一种盲提取数字图像信息隐藏算法。

• They use entropy and spatial frequency to evaluate the fusion result of their method and perform a comparison with the Laplacian based and the wavelet based image fusion methods.

  最后利用熵和空间频率对该方法的融合性能进行了评估分析，并与基于拉普拉斯变换和小波变换的图像融合方法进行了比较。

• The algorithm can measure discontinuity of gray values by using Laplacian and adjust automatically gray values according to intensity of response to gray mutation in Laplacian.

  该算法利用拉普拉斯微分算子对像素灰度值的不连续性进行量化，根据微分算子对灰度突变的响应强度进行自动调整掩模内的各像素权值。

• This is a VC image processing source code, using Laplacian sharpening edge detection.

  这是一个VC图象处理源代码，用拉普拉斯锐化进行边缘检测。

• With the method of classifying the mesh vertices, a hybrid algorithm combined weighted median method and Laplacian method was presented.

  应用顶点分类的方法，提出了一种加权均值滤波与拉普拉斯光顺相结合的混合算法。

• In this paper, the eigenvalues of the normalized Laplacian and the toughness of graphs are studied and the relation of inequality between of them is given.

  研究了图的正规拉普拉斯矩阵特征值与图的坚韧度，并给出了它们之间的不等式关系。

• Our work enrich the Laplacian Eigenmap algorithm theory system. In addition, a new method of estimation intrinsic dimension is proposed, it shows good proved by man-made data.

  对拉普拉斯特征映射方法应用领域的拓展起到了推动作用，同时提出一种新的估计本征维数的方法并且通过人造数据的验证说明该方法具有良好的性质。

• Experiments results show that the proposed fusion algorithm outperforms other fusion algorithms based on averaging, Laplacian pyramid, and wavelet fusion method using local energy.

  实验结果表明本文提出的融合算法的性能优于平均融合算法、基于拉普拉斯塔型分解的融合算法和基于局部能量信息的小波融合算法。

• In this paper, a modified Laplacian mesh generation method improved by additional mesh regulation terms is presented.

  提出采用网格调节项来修正拉普拉斯网格生成方法。

• Through searching the local maxima of multi-scale normalized Laplacian filters of the probability distribution image the target is located and its size is determined.

  最后通过检测多尺度规范化Laplacian滤波的极值，实现目标的定位和尺寸描述。

• The wavelet subband coefficients of images have highly non Gaussian statistics that may be modeled with generalized Laplacian distributions, and Bayesian estimation is used to suppress noise.

  图像的小波系数具有很强的非高斯统计特性，可以建立推广的拉普拉斯先验分布，用贝叶斯估计对图像小波系数滤波来达到降噪目的。

• The operator in parentheses in (3. 54) is. called the Laplacian operator.

  在(3.54)的括号里的算符叫做拉普拉斯算符。

• Realize the use of Laplacian sharpening realize, have the effect of map, we can look at.

  实现了用拉普拉斯实现锐化，有效果图，大家可以看一下。

• The Laplacian in the columnar and spherical coordinates is deduced by using the derivative principle of the multivariable functions.

  使用多元复合函数微商法则，导出拉普拉斯算符在柱面坐标系和球面坐标系中表达式。

• Firstly, the source images are decomposed into sub-images at different scales through Laplacian pyramid transform.

  首先，通过拉普拉斯金字塔变换将源图像分解为各级分辨率的子图像。

• This paper adopts a Laplacian Pyramidal decomposition method to analyze two images, And the decomposed images are fused with the method based on regional features measurement.

  利用拉普拉斯金字塔分解算法对图像进行多分辨率分析，对分解后的图像采用基于区域特征量测的方法进行融合。

• In this paper we propose so-called coupled 4-point difference schemes for the Laplacian operator over a class of parallel hexagon partitions of the plane.

  本文提出平面上拉普拉斯算子在一类平行六边形网格上的成对4点差分格式。

• There is no consensus on the distribution of the AC DCT coefficients till now. In this work, the generalized Gaussian model and the Laplacian model, which are used most widely, were studied.

  针对离散余弦变换（DCT）系数分布模型类型存在的异议，研究并比较了拉普拉斯模型和广义高斯模型。

• The results of the tests show that the generalized Gaussian model is better than the Laplacian model in portraying the distribution of the AC DCT coefficients.

  检验结果表明，广义高斯模型比拉普拉斯模型更準确地反映了DCT交流系数的分布。

• To solve this problem we have implemented the texture progressive transmission with the classic Laplacian pyramid algorithm and the Haar transform algorithm.

  为解决这个问题用拉普拉斯金字塔算法和哈尔变换算法实现了纹理递进传输。

• The noises of image is effectively suppressed by restricted Laplacian sharpening algorithm. The edges of image after processing are distinct and the details are deserved.

  受限拉氏锐化算法有效地控制了图像的噪声，使处理后的图像边缘更加清晰，又保护了图像的细节。

• The Laplacian method searches for zero crossings in the second derivative of the image to find edges.

  拉普拉斯算子的方法是在图像的二阶导数搜索零交叉来查找边缘。