本文研究的一个重点是像素级和特征级的图像融合算法。
One of the keystones of the paper is image fusion algorithm based on pixel level and feature level.
图像融合一般可分为像素级、特征级和决策级图像融合。
The image fusion can be divided into three fusion level, namely: pixel, feature and decision levels.
图像融合可以分为三个层次：像素级融合、特征级融合和决策级融合。
Image fusion can be divided into three levels, pixel level fusion, feature level fusion and the decision-making level fusion.
提出了一种红外与可见光图像的新颖的特征级融合与运动目标跟踪方法。
A new feature level fusion and moving target tracking method for IR and visible images is proposed.
图像融合从抽象层次上可分为：像素级融合、特征级融合和决策级融合。
From the abstract level, image fusion can be divided into: pixels-level fusion, feature-level fusion and decision-level fusion.
通过几何修改搜索算法和特征修改定位算法，实现模型级和特征级的协同感知。
The collaborative model perception and feature perception could be realized through the geometry modification search algorithm and feature location modification algorithm.
从待处理数据的抽象层次上分，融合技术可分为像素级、特征级和决策级三种。
From the abstract level of the data which is to be dealed with, the image fusion technique can be divided intoto pixel level, feature level and decision level.
特征级融合模块采用RBF神经网络，其功能是提取数据特征进而特征信息融合。
The feature level module adopts RBF neural network to extract feature of data and to make feature fusion.
从融合的层次结构出发，数据融合技术可分为数据级、特征级和决策级三个融合层次。
According to the fusion levels, there are data level, feature level, decision level included in data fusion.
也可以根据信息抽象程度的不同，从低到高分为像素级、特征级和决策级融合三个层次。
According to the different abstract extent of information, from low to high, it can also be divided into three levels: pixel-level, feature-level and decision-making level.
将故障诊断系统按数据融合的方法分为数据级融合模块、特征级融合模块和决策级融合模块。
The fault diagnosis system is classed into data fusion level module, feature level module and decision fusion level module according data fusion method.
为了提高红外与可见光动态图像特征级的融合性能，提出了一种新的使用目标检测的融合框架。
We employ the target detection to improve the performance of the feature-based fusion of infrared and visible dynamic images, which forms a novel fusion scheme.
决策级采用D - S证据理论的方法对特征级局部诊断的结果加以融合，得到最终的诊断结果。
The decision fusion level module USES D-S evidence theory to fuse the local diagnostic results of feature fusion level, then get the final diagnostic results.
本文对基于主成分分析的特征级图像融合及其在弱小目标匹配识别上的应用做了一定的研究和探索。
This dissertation mainly studied the image feature fusion based on PCA (principal component analyses) and its application of Small-weak target matching.
而图像融合中的特征级融合在目标识别、医疗诊断以及生物特征识别等领域有着越来越重要的作用。
The feature fusion of image has more and more important applications, such as in target recognition, medical treatment and biology feature recognition.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
提出了一种新的目标轮廓特征级融合方法，求解两类模式图像的收敛动态轮廓线控制点向量差的范数平方极小化。
A new feature level fusion method of target's contour was proposed, which minimizes norm's square of the difference of control point vectors of convergent dynamic contours in two modal images.
根据图像融合分类的不同，图像融合的算法可分为空域、变换域融合算法，或像素级、特征级和决策级融合算法。
Under different classifications, image fusion algorithms can consist of space domain and transform domain, or pixel-level, feature-level and decision-making level.
同时，设计了通信层、接口层、模型层、特征描述层和路由描述层的体系结构，解决了特征级感知和感知通信的问题。
A system structure was designed as five tiers of communication tier, interface tier, model tier, feature description tier, and router description tier.
已有很多专家学者对影像融合方法做过研究，一般可在三个层次上进行融合，即像素级融合、特征级融合以及决策级融合。
There are many experts and scholars, have researched the image fusion methods. Generally. it can be fused at three levels: pixel level fusion, feature level fusion and decision level fusion.
对不能识别的样本，采用模糊推理技术，把传统的直观特征识别结果和多层BP网络结果在特征级上融合，提高系统的性能。
As to the samples that have not been able to be recognized we adopt fuzzy logic to fusion obvious feature and MBPNN's feature, and increase the performance of the system.
五年级学生倾向于关注老鹰个体的特征。
Fifth graders tended to focus on features of individual eagles.
这些规范提供了基础消息传递、说明和发现框架，用于所有Web服务和很多B2B集成场景所必须的消息级安全特征。
These provide the underlying messaging, description, and discovery framework basic to all web services and the message-level security characteristics necessary for many B2B integration scenarios.
本文解释了这一级别应用程序的特征，同时也总结了程序开发人员必须、应该和可以做哪些工作来实现和利用这个级别。
The article explains characteristics of applications at this level, as well as what the program developer must, should, and can optionally do to achieve and exploit this level.
地位不确定是这一级债券的特征。
定义所有用户中哪部分业务过程是通用的，哪部分是可选择执行的，这些可以帮助指导产品特征的优先级划分。
Defining which parts of a business process are common among all customers, and which are implemented optionally, helps guide the prioritization of the product's features.
企业级集成的特征包括跨系统分布式事务、对关键数据交付使用基于队列的消息，或各种其他类型的服务。
Characteristics of enterprise integration include distributed transactions across various systems, queue-based messaging for critical data delivery, or various other types of services.
许多时候，正是客户们最为看重的特征（例如易用性或用户文件）被放在了一个较低的优先级。
Many times, it's the items that customers most value (like ease of use or user documentation) that are placed at a lower priority.
在操作系统级上，可以调优一个卷组、甚至单个物理卷的特征。
At the operating system level, you can tune the characteristics for a volume group or even for individual physical volumes.
在操作系统级上，可以调优一个卷组、甚至单个物理卷的特征。
At the operating system level, you can tune the characteristics for a volume group or even for individual physical volumes.
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