搜索资源列表
CT成像
- 利用Radon反变化算法处理CT图像,并利用RL和SL滤波进行图像成像水平的增强。(Use inverse radon transformation to treat CT images.)
chengxu
- 利用最大类间方差算法求解自适应阈值,对图像进行分割(The Otsu algorithm is used to solve the adaptive threshold, and the image is segmented)
CT
- 逆radon变换,实现平面CT扫描时产生的投影变换,并由此推断出被扫描物体的吸收率空间分布(The inverse Radon transform is used to realize the projection transformation in the planar CT scan, and the spatial distribution of the absorption rate of the scanned object is deduced)
ctRec
- Fourier Slice Theorem, Radon Transform
Q1.m
- 已知Radon变换(CT原始数据)利用中心切片法则重建CT图像(Reconstruction using central slice theorem)
CT-Reconstruction-master
- CT的传统算法,主要以Radon变换为基础的重建算法(The traditional algorithm of CT, mainly based on Radon transform reconstruction algorithm)
phantom3d
- This example shows how to scan an image with a limited angle, obtain the sinogram, add noise to make things worse, and reconstruct the initial image with great accuracy %You may want to remove/edit some sections if you intend to apply this to your u
ctRecontruction
- 该附件的函数可实现CT重建的功能,如简单的反投影,在空间域中使用卷积的滤波反投影,采用了二维傅立叶变换的滤波反投影,并利用中心切片定理滤波反投影。 CT技术诞生以来, 人们已经发展了众多的图像重建算法, 但各种算法均存在着各自的优缺点。解析重建(Analytic Reconstruction, AR)和迭代重建(Iterative Reconstruction, IR)是CT图像重建的两种基本方法。滤过反投影(Filtered Back Projection, FBP)是解析重建的主要算法
MATLAB图像重建源码
- MATLAB实现脑核128*128像素图像重建源码,包括RADON变换(MATLAB realizes the source of brain nuclear 128*128 pixel image reconstruction, including RADON transform)
Prjection_BackProjecton
- 2D Projection/Backprojection
Filtered Backprojection Algorithm
- FourierSliceTheorem, backProjection using FST, Radon, Matlab code
DSPA(2)
- CBXVVCBBXXVCBVCBRXCBVCBDF(XDFGBGSFDGVXCZVBDFFS)
fbp-
- 手动求投影,(手动实现radon的等价效果) 滤波反投影,即fft=>滤波=>ifft=>反投影(fft, filter, ifft, inverse filter)
The Transforms and Applications Handbook
- 该资料介绍了包括Signals and Systems,Fourier Transforms,Sine and Cosine Transforms,The Hartley Transform,Laplace Transforms,The Z-Transform,Hilbert Transforms,Radon and Abel Transforms,The Hankel Transform,Wavelet Transform等在内的十多种变换,数学推导清晰,适合电子电器行业的研究人员学习。(Th
图像处理人民币识别
- 本设计为基于MATLAB的人民币识别系统。带有一个GUI界面。先利用radon进行倾斜校正,根据不同纸币,选择不同维度的参数识别纸币金额,有通过RGB分量识别100元; 通过面额图像的宽度识别1元、5元;通过构建矩形结构体识别10元 ;通过RGB分量识别 20元 与 50元。