搜索资源列表
pictureRestortooriginal
- 图像线性滤波复原 运用MATLAB软件,并结合维纳滤波法对各种模糊图像进行复原重建 创建一个仿真运动模糊的PSF来模糊图像。 (2)利用deconvwnr函数对无噪声模糊图像进行复原重建 (3)利用deconvwnr函数对有噪声模糊图像进行复原重建 -images linear filtering using MATLAB software recovery, and the Wiener filter to various fuzzy image restoration
posermodel
- 从poser导出人脸模型,并在matlab下进行重建,提取顶点、法向量等信息进行重建-poser derived from the Face Model and Matlab under reconstruction, from vertex, Vector information law for redevelopment
colorcode
- 采用伪随机原理产生有窗口特性的彩色编码图,对于研究三维重建的朋友有用,采用matlab编写,请多多指教!QQ:526289-using pseudo-random produced a window characteristics of color-coded map, three-dimensional reconstruction of useful friends, prepared using Matlab Please excuse us! QQ : 526289
3dRecon
- 三维重建,使用matlab编写的,效果可以-3D reconstruction, prepared by the use of Matlab, the effect can
fbp-reconstruction
- 基于matlab的滤波反投影重建算法,实现了标准2维图像的重建-based on Matlab filtered back projection reconstruction algorithm, and the standard two-dimensional image reconstruction
EAfanfbp
- 基于matlab的扇形滤波反投影重建算法-fan filtered back projection reconstruction algorithm
ESfanrecon
- 基于matlab的平行束滤波反投影重建算法-Matlab-based parallel beam filtered back projection reconstruction algorithm
ct
- 基于radon变换的SR-CT断层重建程序,matlab编写
MATLAB1
- 利用MATLAB进行图象重建的算法研究,MATLAB在无损探测领域的应用
mk
- 利用小波变换模极大重建原信号的MATLAB源程序段
chengxu
- 实现血管的三维重建。 以上过程可用以下MATLAB代码来实现
CTFToolbox_Windows
- Coarse-to-Fine Wedgelet and Platelet Image Reconstruction,图象重构matlab源码,老外编写的,对图像的重建有帮助
calibr
- 本例用matlab实现了三维图形的重建,效果不错
matlabThree-dimensionalReconstruction
- 内容为matlab的三维重建程序,达人可进来看,不适合初学者
my_dct
- 用matlab做的基于DCT变换的图像压缩源码,先把图像分成8X8 的子块,然后做DCT变换,再量化,在恢复重建图像
matlabcode
- 相当的经典啊 是基于matlab的 大家做图像匹配的都可以用的到,做三维重建方面的。
CT
- 将CT数据进行重建得到CT图像,压缩包中含有CT数据,程序用matlab编写。-The CT data were reconstructed CT images, CT data archive contains the program written by matlab.
SheepLogan.rar
- 用于练习CT重建算法的MATLAB程序,使用著名的sheep logan模型,重建出模型中的图形,CT reconstruction algorithm for the practice of MATLAB, the use of well-known sheep logan model, the reconstruction of a graphical model
allfns
- matlab中关于三维重建的源代码,《计算机视觉中的多视图几何》匹配源代码-These functions are written by: David Capel, Andrew Fitzgibbon, Peter Kovesi, Tomas Werner, Yoni Wexler, and Andrew Zisserman
SRCNN train
- 利用matlab做深度学习,SRCNN作为超分辨率重建开山之作,用matlab进行代码复现(Matlab to do deep learning, SRCNN as a super resolution reconstruction work, using matlab for code reproduction)