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   匹配测度 的翻译结果: 查询用时:0.465秒
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匹配测度
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  “匹配测度”译为未确定词的双语例句
     Comparative to classical optical images matching algorithm, main improvement lies in despeckling and geometrical and radiation correct in matching window.
     与经典的光学图像匹配算法比较,主要改进在于提高匹配测度的抗噪性能和顾及SAR立体像对同名影像之间存在几何与辐射差异的匹配方法。
短句来源
     In this paper,CT/PET multimodality medical image registration is performed by region similarity measure (RSM) accompanied with improved segment method and Powell optimization algorithm.
     本文以区域相似性匹配测度 ,运用改进的分割方法 ,结合 Powell寻优算法实现了 CT/ PET多模医学图像配准。
短句来源
     Spectral Simil Arity Scale Based on Dynamic Wighting Adjustment Method
     动态调整权重的光谱匹配测度法分类的研究
短句来源
     With the definition of a new matching dissimilarity measure, an objective function of clustering algorithm is developed by modifying the common cost function, i.e., the trace of the within cluster dispersion matrix, which is suitable for analysis of data sets with mixed attributes. The genetic algorithms (GA) is employed to optimize the developed objective function for overcoming the drawback of the traditional fuzzy k-means (FKM) algorithm, i.e., sensitivity to the initialization.
     1.定义了一个新的相异性匹配测度,修正了传统聚类算法的目标函数——类散布矩阵的迹,将数据集中不同属性特征相结合,构成新的聚类目标函数,使得其能够适合混合类属特征的数据,并利用遗传算法对其进行优化,克服传统的模糊κ-均值(FKM)算法对原型初始化敏感的缺点,使得算法能够以较高的概率收敛到全局最优解。
短句来源
     This function can eliminate the linear errors and the non-linear errors in theory.
     同时给出了一个具有广泛适应性的匹配测度函数,该函数理论上可以很好的避免图像中的线性和非线性误差。
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  相似匹配句对
     Algorithm of target matching based on fuzzy metric
     基于模糊测度的目标匹配算法
短句来源
     An algorithm of target matching based on fuzzy metric is proposed.
     提出了基于模糊测度的目标匹配方法。
短句来源
     Knowledge Measure
     知识测度
短句来源
     Mix and Match
     混合和匹配
短句来源
     Extension of Measures
     测度的扩张
短句来源
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  match measure
For every template, the algorithm output consists of an image with a template match measure in each band, as indicated in table 5.1.
      
Here again, we recorded agreement using the exact match measure.
      
The window based match measure finds the correspondence even after spatial transformations.
      
The category match measure forms the basis for a global redistribution operator.
      
The match measure is defined as the sum of absolute differences between every corresponding pixel within the unit.
      
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The algorithm presented here recognizes low restrictive handwritten numerals by means of neural networks. It refines the calculating method of the matching score in the hamming net, removes the limitation that the hamming net suits only binary patterns, so that the rate of recognition is increased obviously. The principles of the new algorithm and the results of experiment are given.

本文提出了一种应用神经网识别低限制的手写数字的新算法,该算法改进了海明网(Hamming net)中匹配测度的计算方法,克服了海明网只能适用于两值模式的限制,使识别率大幅度提高。文中叙述了新算法的原理并给出了实现方法和实验结果。

This paper present an algorithm for last matching, we get a threshold sequence by studying from characteristics of image to accelerate matching and decress the probability of mismatch. This algorithm is accelerate furth by random step.

运算量极大是模板匹配运算的一个关键问题。本文在分析前人工作的基础上提出了一种新的匹配算法——基于自学习阈值的快速匹配方法。本算法从图象本身特征出发,用学习的方法获得了序列阈值,使匹配运算得以加速;同时完全消除了图象匹配测度曲面呈现多峰时出现失配的可能,而且使多峰状态成为匹配加速的动力之一。在此基础上,利用随机走动的方法进一步加快了匹配的速度。

For determining similarity of chemical fingerprint, similarity measures were presented. A method including three indexes ( i.e . elasticity of peak number, homostasis of proportion among peaks and homostasis of peak area) was proposed to evaluate the performance of the measures on different aspects. According to the three proposed indexes, six different measures were evaluated with chemical fingerprints simulated by computer. The results indicated that cosine of the angle is much suitable for assessing the...

For determining similarity of chemical fingerprint, similarity measures were presented. A method including three indexes ( i.e . elasticity of peak number, homostasis of proportion among peaks and homostasis of peak area) was proposed to evaluate the performance of the measures on different aspects. According to the three proposed indexes, six different measures were evaluated with chemical fingerprints simulated by computer. The results indicated that cosine of the angle is much suitable for assessing the fluctuation of proportion between the peaks. The matching degree of peaks is very sensitive in detecting the variation of number of small peaks. The Euclidean distance has preferable integral measurement capability. The actual chemical fingerprints of Shenmai injection were used to check the correctness of the above conclusion from simulation experiments, and the results showed it accords with reality. It could be concluded that the proposed method could be used for selecting the measures for determining the similarity of chemical fingerprint.

提出化学指纹图谱相似性测度概念 ,并以峰数弹性、峰比例同态性和峰面积同态性为评价指标 ,用于多角度评价化学指纹图谱相似性测度优劣 ,根据这些评价指标 ,用计算机仿真方法研究比较了 6种相似性测度 ,结果表明夹角余弦测度用于度量指纹图谱间谱峰比例的波动较适宜 ,峰匹配测度可较灵敏地检测小峰个数波动 ,而欧氏距离测度则具有较好的综合评价能力 .最后 ,采用实测的参麦注射液色谱分析谱图 ,研究考察了上述计算机仿真实验结果 ,证明仿真结果符合实际情况 ,这表明本研究方法可用于评价化学指纹图谱相似性测度 .

 
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