Infrared and visible image fusion technology based on non-subsampled contourlet transform;
基于NSCT变换的红外与可见光图像融合技术研究
Non-sampled Contourlet transform based fusion method for infrared and visible images
基于NSCT的红外与可见光图像融合
Fusion for IR and visible images based on lifting wavelet transform
基于提升小波的红外和可见光图像融合方法
Totally 1 000 pictures of 50 subjects were taken for the fusion experiment, with 10 visual images and 10 infrared images for each person.
利用可见光图像和红外热图像进行图像融合是多模式人脸识别领域的一个新的研究方向。
In our research on SAR(Synthetic Aperture Radar) and optical image fusion,a part of the research project supported by NNSFCNational Natural Science Foundations of China,we have tried ridgelet transform and found it to be more effective than wavelet transform in two respects for fusion of SAR and optical images:(1) preservation of important information of SAR and opt.
因此,提出了基于脊波变换的SAR与可见光图像融合方法,并采用偏差指数与等效视数指标对融合效果进行评价。
The matching between synthetic aperture radar(SAR) images and optical images for navigation is very important in automated navigate vehicle.
论述了基于改进Hausdorff距离的SAR与可见光图像的匹配思想,总结了其中存在的主要问题。
Aiming at ship detection in optical image,this paper proposes a new method for ship detection based on feature fusion of multi-spectral image and PAN image.
该文以可见光图像舰船目标为研究对象,提出了用多谱图像和全色图像进行特征融合来检测舰船目标的方法。
Using visible light image and X-ray image separately this study examines the external dimensions of rambutan.
分别用可见光图像和X射线图像检测红毛丹的外形尺寸,结果表明采用X射线图像检测技术能较准确地预测红毛丹的外形尺寸。
Works were done as following:First, elaborated the elementary theory about super-resolution technology of the visible light image.
主要做了以下一些工作:首先阐述了可见光图像超分辨率技术的基本理论,从单幅图像的超分辨率复原、多幅图像的超分辨率重建以及星-地结合超分辨率工程实现三方面对超分辨率技术的发展进行全方位解读。
Performance Evaluation of Fusion Algorithm for Visual and Infrared Images
红外与可见光图像融合算法性能评估
Non-sampled Contourlet transform based fusion method for infrared and visible images
基于NSCT的红外与可见光图像融合
A Kind Algorithm of Infrared and Visible Images Fusion Based on Feature of Image
一种基于图像特征的红外与可见光图像融合算法
Fusion of Infrared and Visible Light Images Based on Nonsubsampled Contourlet Transform
基于非抽样Contourlet变换的红外图像和可见光图像融合算法
Effective method for dam recognition from visible images
一种有效的可见光图像中水坝目标的识别方法
A new algorithm for small and dim target detection of visible image under heavy clutters
复杂背景可见光图像中弱小目标探测的新算法
Determination of Body s Moisture Content of Paddy and Corn Based on Visible Light Image;
水稻及玉米植株含水率的可见光图像检测
The Research of IR and Visible Images Registration Method Based on SIFT;
基于SIFT的红外与可见光图像配准方法研究
A Scene Matching Approach Based on Edge Signal between IR and Visible Images;
基于边缘信息的红外与可见光图像匹配技术
Study on the Image Processing and Recognition of Low-quality Visual Images
低质量可见光图像的处理技术和识别方法研究
Research on Registration Method of Infrared/Visible Image of Power Equipment
电气设备红外与可见光图像的配准方法研究
Face Transformation and Recognition from Near Infrared to Visible Lighting Images
人脸变换与识别：从近红外到可见光图像
Research on Infrared/Visible Image Registration Based on Variational Model
基于变分模型的红外/可见光图像配准方法研究
Infrared-Visual Images Automatic Registration Based on Corners
基于角点的红外与可见光图像自动配准方法
Statistical model-based dynamic infrared and visible image fusion
使用统计模型的动态红外和可见光图像融合
Fusion algorithm for IR and visible images based on region segmentation
基于区域分割的红外和可见光图像融合方法
SAR and optical image fusion based on curvelet transform
基于Curvelet变换的SAR与可见光图像融合研究
FUSION OF INFRARED AND VISIBLE IMAGES BASED ON THE SECOND GENERATION CURVELET TRANSFORM
基于二代Curvelet变换的红外与可见光图像融合