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Keywords Image fusion;Multimodality medical image;Wavelet transform modulus maxima; 图像融合;多模医学图像;小波变换极大模值;
Keywords Image Fusion;Pixel-Level Fusion;Wavelet;Multiscale Decomposition;Frame;Filter Bank;Shift Invariance;Nonlinear; 图像融合;像素级融合;小波;多尺度分解;框架;滤波器组;移不变性;非线性;
Keywords Image fusion;image registration;pyramid;wavelet transform;wavelet frame;steerable pyramid;dual tree complex wavelet transform; 图像融合;图像配准;金字塔变换;小波变换;小波框架;可操纵方向金字塔变换;双树复小波变换;
Keywords Image fusion;image registration;point pattern matching;HVS;image fusion evaluation criteria;SUSAN;corner detection;Branch-and-Bound algorithm; 图像融合;图像配准;点模式匹配;HVS;融合评价准则;最优融合方法;SUSAN角点提取;分支定界算法;
Image fusion fast algorithm based on CMAC[J]. 引用该论文刘桂雄;林绪虹.
Keywords Image Fusion;Multi-resolution analysis;Multispectral;Feature Extraction;Line Extraction;Road Extraction;D-S Evidential Theory;Hyperspectral;Image Classification;Target Recognition; 图像融合;多分辨分析;多光谱;特征提取;直线提取;道路提取;D-S证据理论;高光谱;图像分类;目标识别;
An image fusion method based on cortex transform is proposed. 摘要提出一种基于皮层变换的图像融合方法。
Multifocus image fusion method can solve this problem effectively. 多聚焦图像融合技术可有效地解决这一问题。
The medical CT and NMR image fusion problem is discussed. 本文讨论了医学图像CT与NMR的融合问题。
Multifocus image fusion method based on curvelet transform[J]. 引用该论文杨俊;赵忠明.
The problem of multifocus image fusion is discussed. 摘要本文探讨了可见光多聚焦图像的融合问题。
The fourth chapter talks about classification technology used in image fusion. 第四章研究多波段图像融合分类技术,设计了地物属性库。
Remote Sensing Image Fusion Based on Steerable Pyramid Frame Transform[J]. 引用该论文李振华;敬忠良;孙韶媛;刘刚.
Image fusion is a key technology on medical images progressing. 图像融合是医学图像处理中的关键技术。
A New Spectral and Panchromatic Images Fusion Method[J]. 引用该论文赵永强;潘泉;张洪才.
Multispectral and high resolution images fusion is presented. 论文对多光谱图像和高分辨图像进行了融合。
Laplacian image fusion, contrast modulation fusion and image fusion technology based on wavelet decomposition are studied emphatically. 重点研究了拉普拉斯图像融合、对比度调制融合、基于小波分解的图像融合技术。
Is Ridgelet Transform Better than Wavelet Transform in SAR and Optical Image Fusion? 基于脊波变换的SAR与可见光图像融合研究?
A new three-dimensional (3D) vehicle location and recognition method based on r adar and image fusion is proposed. 本文针对三维车辆的定位和识别问题;提出了一种融合雷达和图像信息的新方法.
We use multi-resolution image fusion with image laplacian pyramid to merge the boundary. 针对生成纹理图像过程中的拼接缝消除问题，深入研究了利用图像拉普拉斯金字塔进行多分辨率融合的方法。