Different fusion rules are studied in this paper.
本文研究了多种融合规则。
The fusion rules and fusion operators are very important for image fusion.
对于图像融合来说，融合规则和融合算子是十分重要的。
Thirdly, the fusion rules and fusion operators are very important for image fusion.
第三，对于图像融合来说，融合规则和融合算子非常重要。
Image fusion algorithms and fusion rules are important for image fusion technology.
图像融合算法与融合规则是图像融合技术的关键课题。
Recently, the detect fusion rules by considering the channel condition are researched, it is called channel aware decision fusion.
近年来，有学者将信道的影响因素考虑进了分布式检测系统的融合处理中，称为信道敏感性检测融合。
There are two research aspects about fusion methods based on multi-scale transform: the multi-scale transform tools and the fusion rules.
基于多尺度分解的融合方法主要从尺度分解方法和融合规则两方面开展研究。
The research on image fusion has a lot of aspects, such as fusion algorithms, fusion rules, fusion quality evaluation and the types of images.
针对图像融合的研究有很多方向，比如融合算法、融合规则、融合质量评价和融合图像的类型等。
Using these evaluation criteria, we study how the number of decomposition levels, different fusion rules or the size of region for measure influence the image fusion performance.
文中建立了几种评价方法和准则，利用这些评价准则，研究了分解层数、不同融合规则以及特性区域大小对融合性能的影响。
It is proved by theoretical derivation that under the N-P criterion, the system fusion rules and the sensor decision rules are still the likelihood ratio threshold decision rules.
通过理论推导，证明了在N - P准则下，融合系统的融合规则和传感器的判决规则是似然比门限判决。
After analysed the performance of nonparametric detector particularly, three new fusion rules are proposed based on local statistics, their asymptotic relative efficiency is studied.
在详细分析非参量检测器的理论基础上，提出了三种基于局部统计量的融合规则，分析了其渐进性能。
Researches in conventional way are always focus on the fusion rules or the fading channels as two different fields and will not consider the channel impact in the detect fusion rules.
在传统的分布式检测研究中，往往是将检测算法和通信因素分成两个领域来进行研究，一般在最终检测分析处理时不会考虑数据在传输过程中所受影响。
This paper researches the sub image feature fusion rules in the trademark image retrieval, and improves the sub image feature fusion rules by weighting based on the sub image reliability.
该文对商标图像检索中的子图像特征融合准则进行了研究，根据子图像可信度对子图像特征融合准则进行加权改进。
In order to optimize the system performance, the fusion rule and the sensor decision rules must be optimized jointly.
为了使系统检测性能达到最优，需要对融合规则及各部传感器的判决规则进行全局最优化。
Fusion image is the creation of at least two source's image, in airspace or frequency domain based on certain rules of portfolio, and Create a brand new image, at last evaluation the image.
创建融合图像是对至少两幅源图像，在空域或频域根据一定的规则加以组合，创建一个全新的图像；最后就是对融合图像的质量进行评价。
At the same time to tie in with the pre-processing algorithm we used the fusion algorithm based on rules of gradient selection, it could better improve the quality of fused images.
同时为配合预处理算法采用了梯度选取规则的融合算法，更好的提高融合后图像的质量。
This paper introduces double color, transition, fusion and other specific coloring rules.
本文介绍了双色、过渡、融合等具体的赋色规则。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory, and it can reduce the rules of fuzzy greatly.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
To optimize the system performance, the fusion rule at fusion center and the decision rules at all the sensors must be globally optimized.
为了使系统性能达到最优，需要对融合中心的融合规则及各部传感器的判决规则进行全局最优化。
A fusion method is proposed to merge remote sensing images using rules combining correlation moment and deviation.
提出了结合遥感影像的局部相关矩和局部方差进行融合的方法。
The final edge images are obtained through a fusion in accordance to certain rules.
最后通过一定的融合规则进行融合，得到最终的边缘图像。
The idea of adaptive data fusion algorithm , the composition of rules set, algorithms library and the realization of adaptive algorithm are described in detail.
对自适应算法的思想、规则集、算法库、推理组成和算法的实现作了详细的描述。
The harmonic image and fundamental image are decomposed into sub-images with wavelet transform. Fusion is completed with rules based on Windows. Then fusion image is reconstructed.
利用小波变换理论首先将谐波图像与基波图像进行分解，然后利用基于窗口的融合规则进行融合，最后利用小波逆变换重建图像。
The global optimal multi-sensor data fusion system and the local optimal decision rules are studied, respectively.
研究了全局最优融合系统以及局部传感器的最优判决准则。
The basic concepts, association rules, process, standard of decision and theory of D-S evidence reasoning applied to data fusion are analyzed in detail.
阐述了D - S证据理论用于多传感器数据融合的基本概念、合成法则、一般步骤及决策准则。
The basic concepts, association rules, process, standard of decision and theory of D-S evidence reasoning applied to data fusion are analyzed in detail.
阐述了D - S证据理论用于多传感器数据融合的基本概念、合成法则、一般步骤及决策准则。
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