结合金字塔算法，进行细胞质的边界检定。
It is used with pyramid algorithm to detect the cytoplasm edge.
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。
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。
To solve this problem we have implemented the texture progressive transmission with the classic Laplacian pyramid algorithm and the Haar transform algorithm.
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%。
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.
该算法不仅仅在精度上高于其它互相关算法，更由于采用了金字塔算法使计算量大大减少，提高了计算速度。
This algorithm is not only more accuracy than the other correlation-based algorithms but also at the expense of lower computation costs by used the pyramid algorithm.
该结构采用了递归金字塔算法（RPA）取代传统的PA算法。只用一组滤波器即可完成所有级别的小波运算。
The proposed architecture adopt recursive pyramid algorithm(RPA)instead of the classical pyramid algorithm(PA), only one low-pass filter and high-pass filter are required to compute all levels.
该文在深入分析可调滤波器金字塔算法的基础上，提出了一种基于分形理论和可调滤波器金字塔算法的自然纹理综合方法。
This paper analyzes thoroughly the steerable filter pyramid algorithm and presents a natural texture synthesis method based on fractal theory and pyramid algorithm.
为了提高匹配速度，在算法实现过程中采用了金字塔搜索算法进行加速。
Process of matching is accelerated by pyramid algorithm in order to increase speed.
本文中首次尝试了在频率域算法中加入金字塔模型，对原本低分辨率图像进行若干次下采样后层层配准提高精度。
In this paper, it is the first time for us to add the pyramid model to the algorithm by Vandewalle et al. to increase the accuracy by coarse-to-fine registering layered down-sampled images.
匹配程度的算法选择的是归一化自相关匹配算法，并采用金字塔搜索算法进行加速。
The matching algorithm chosen for calculating the degree of match is a normalized correlation algorithm accelerated by pyramid algorithm.
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。
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.
分析了多种金字塔数据结构的生成方法，比较了不同方法在影像匹配中的优劣，并提出了一种影像金字塔生成的快速算法。
Different methods for generating pyramid data structure have been analysed, these effects in image matching are compared, also a fast algorithm of pyramid data struct is provided.
针对控制点修正的动态规划立体匹配算法存在控制点求取时间长、实时性差的问题，提出一种金字塔双层动态规划立体匹配算法。
To the problems of dynamic programming stereo matching algorithm modified by ground control points (GCPs), a pyramid two-level dynamic programming stereo matching algorithm is proposed.
与传统金字塔方法相比较，基于小波变换的融合算法能够很好地保持图像的信息，提取源图像信息的能力更强，具有广阔的应用前景。
Compared with the traditional pyramid decomposition, the fusion scheme based on wavelet is more capable to retain and pick up image information and has a greater application potential.
本文首先将两种匹配算法即金字塔分层匹配和基于遗传算法的影像匹配运用于全自动内定向中框标点的预匹配，再利用最小二乘匹配进行框标点的精匹配。
This paper applies two matching algorithms in the initial matching of the frame point of automatic interior orientation and LSM is used for the precise matching of frame points.
重点分析了高斯金字塔、拉普拉斯金字塔、对比度金字塔和小波金字塔在图像分解与重构中的原理及其融合算法。
The principle of image decomposition and reconstruction based on Gauss-pyramid, Laplacian-pyramid, contrast-pyramid and wavelet-pyramid is emphatically analyzed, as well as the fusion algorithm.
通过迭代求解法和高斯金字塔模型，快速精确地估计得到配准参数，采用凸集投影（POCS）算法对图像序列进行了超分辨率重建。
Based on the set theoretic formulation, a projection onto convex sets (POCS) algorithm is applied to find the solution to face image reconstruction.
对于边界区域，建立了基于对比度的像素选取方法进行融合处理。实验对比结果表明，该方法明显优于拉普拉斯金字塔融合算法和离散小波变换融合算法。
The part between clear part and blurring one is fused by the choice of the corresponding pixel based on the contrast. The experiments show that the proposed method outperforms them…
对于边界区域，建立了基于对比度的像素选取方法进行融合处理。实验对比结果表明，该方法明显优于拉普拉斯金字塔融合算法和离散小波变换融合算法。
The part between clear part and blurring one is fused by the choice of the corresponding pixel based on the contrast. The experiments show that the proposed method outperforms them…
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