在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
医学图像融合是医学图像后处理的研究热点，它充分利用多模式图像，获得互补信息，使临床的诊断和治疗更加准确完善。
Image fusion is a research focus of medical image processing. Proper registrations were desired in clinical diagnoses and therapy to obtain complementary information from multi modality images.
可以说所有需要两幅或多幅图像信息的应用都能够得益于融合。
All applications that require information of two or more images will benefit from image fusion.
图像融合可以概括为一个将两幅或多幅图像组合成一幅包含扩展信息的合成图像的过程。
Fusion of images can be defined as the process of combining two or more source images into a single composite image with extended information content.
为了充分利用目标的运动信息，连续多帧图像的融合特征图像进行能量累积，达到进一步提高检测概率，降低虚警率。
In order to sufficiently utilize the motion information, the feature images of multi-frame are cumulated to improve the detection probability and reduce the false alarm rate.
通过高几何分辨率图像与多光谱波段融合方法可以，增强变化信息，纹理特征参与变化信息提取可以提高变化类型的分类精度。
It is concluded that the fusion of high spatial imagery and multi-spectral bands can enhance change information, and the fusion of texture character can improve the classification results.
提出了一种智能地融合同一场景的多幅图像为一幅图像的方法，与原图像相比，产生的图像包含较少的噪声和更多的信息。
A process is designed to fuse multiple images in the same scene, and to produce an image that contains less noise and more information.
本文针对复杂背景下的彩色图像，提出了一种包含肤色的多特征信息优化融合的人脸检测算法。
In this paper, we present a multi-feature optimal fusion algorithm, inclusive of skin color, to detect one or multiple faces in color image with complex background.
介绍了数字图像处理、人工神经网络、多传感器信息融合技术以及虚拟仪器技术在无损检测中的应用情况。
The application of digital image processing, artificial neural network, multi-sensor data fusion and virtual instrument techniques to nondestructive testing are discussed.
实验结果表明，该图像融合方法在保留TM多光谱图像光谱分辨率的同时，通过融合SPOT全色图像提高了空间分辨率，丰富了图像细节信息。
The experiment results show that image details are enriched while spectral solution of TM image is reserved by fusing TM image with SPOT image in our image fusion method.
实验结果表明，该图像融合方法在保留TM多光谱图像光谱分辨率的同时，通过融合SPOT全色图像提高了空间分辨率，丰富了图像细节信息。
Experiment results show that image details are enriched while spectral solution of TM image is reserved by fusing TM image with SPOT image with the image fusion method.
为了实现多模态医学图像的配准融合，提出一种加快寻优的医学图像互信息配准算法实现CT和MR图像的配准。
A new medical image mutual information registration method, which can speedup the optimized process is proposed for CT and MR medical image auto rigid registration.
为了得到稳健的目标识别，有效的途径之一是使用多源信息来识别目标，这就必须对多光谱图像进行融合处理。
In order to get robust results, an effect way is to take advantage of multi-source information to do the work, which needs fusion of multi-spectral images.
为提高结核病痰涂片显微图像的质量，提出了一种基于多帧不同曝光图像信息融合，扩展被检测显微图像的动态范围，提高检测视野显微图像质量的实现方法。
A novel method based on multi-frame image information fusion is presented by extending the dynamic range of the microscopic image in order to improve the quality of TB sputum smear microscopic image.
图像融合技术是多传感器信息融合的一个非常重要的分支，近年来越来越受到重视。
Image fusion Technology, which is an important part of the multi-sensor information fusion, was paid more and more attentions in recent years.
针对口腔正畸领域中的图像，本文采用一种多特征融合的图像检索方法，医生通过检索出的相似图像找到正畸病患的诊断信息，进而提高诊断效率。
The paper brought up a method based on multi-feature for orthodontics images, doctors could find out the patients' diagnosis information according to some similar images.
对多聚焦图像和多光谱彩色图像分别采用计算图像信息熵和均方根误差、计算图像平均梯度的方法对融合的性能进行评价。
There is explicit characteristic of correspondence reflecting the droplet transfer among the electric, spectral and image information based on time information fusion.
对SPOT多光谱图像和高分辨率图像进行融合实验，并利用信息熵和相关系数对融合结果进行客观评价与比较分析。
The fusion experiment is carried out by the SPOT multi-spectrum image and high-resolution image. Entropy and correlation coefficient are used to judge and analyze the fusion results objectively.
提出了一种全自动、多模态的信息融合解决方案用于配准视频图像和磁跟踪数据。
The paper reports a fully-automated, multiple-modality sensor data registration scheme between video and magnetic tracker data.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
应用推荐