资源列表
Shape-matching-with-Zerinike-moments
- 结合Zernike矩的多尺度模板形状匹配，该算法对输入图像进行预处理后提取目标轮廓，经过归一化处理得到目标形 状的平移、尺度不变的链状表达，再通过小波变换进行多尺度分析；引入Zernike矩，利用Zernike矩的特性，实现小波表达的旋转不变性，解决了小波变换对起始点的依赖。-Shape matching based on multi-scale template with Zerinike moments，The object shape representation is convert
MATCH_FUSE
- MATCH_FUSE:是把配准移植到融合上程序，可以边采集，边配准，边融合。 在手工配准时，这个是针对改程序的配准，所以配准时是采用红外为基准图像，可见光为带配准图像。 配准结果生成一个.XML文件，自动保存起来，然后在融合时加载同文件名XML文件。-MATCH_FUSE: is the registration transplanted into integration program, can collection, edge matching, edge fusion.In the
sift-match
- SIFT特征点检测，配准、匹配，代码经验证可用-sift match ransac appendimages
TVAL3_v1.0
- rice大学Chengbo Li, Wotao Yin, Yin Zhang编写的，使用TV重构图像的matlab程序，内有使用说明，及相关文章-of rice University Chengbo Li, Wotao Yin, Yin Zhang written TV reconstructed image matlab program, with instructions for use, and related articles
20130122
- 数字图像处理，vc++实现运动模糊&复原、逆滤波退化&复原、加噪退化、维纳滤波复原-Digital image processing, vc++ motion blur & recovery, degradation & restoration, increase noise and degradation of inverse filtering, Wiener filtering for restoration
hdfread
- IDL读取HDF文件 IDL读取HDF文件 -Read HDF file IDL IDL read HDF file IDL to read HDF file IDL read HDF file
MRF
- 提出了一种基于MAP的Markov随机场的图像融合方法-This paper proposes a method of Markov random field to classify the remote sensing images based on the maxi- mum a posteriori model
YUVviewer
- YUV视频播放器，可以学习下源码，可以在此基础上自己添加功能-YUV video player, you can study the source code, based on their own to add functionality
Wavelet_SP
- 压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SP算法，对256*256的lena图处理，比较原图和SP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间-Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and
dif_fermi_filter
- 对磁共振图像数据进行费米滤波，对滤波后图像进行边缘区域和图像区域的选取，并分别对两者进行均值和标准差的计算，最后得出信噪比。-For magnetic resonance images, we can use a Fermi filter to the image for filtering. After the selection of the area of the air and the area of the image,then calculate the mean value a
classification-and-fusion
- 基于VC6.0的MFC实现，功能包括：图像分类（K均值、ISODATA）、图像融合（基于高通滤波的加权融合和非加权融合、HIS融合）、直方图均衡化、直方图匹配、RGB与HIS之间的相互转换-based on MFC, functionality include: image classification(K means and ISODATA),image fusion(fusion based on HIS transformation and fusion based on high pas
niqe_release
- 用于无参考帧图像质量评价的MATLAB程序，运行程序为example，输出图像的客观分值。-This is the matlab code of no-reference image qualituy assessment in space domain, th result ofthe program is the object acore of the image.