登录
首页 » matlab » 61IC_S545

61IC_S545

于 2021-01-11 发布 文件大小:9880KB
0 205
下载积分: 1 下载次数: 78

代码说明:

  基于结构张量的二维和三维图像增强方法,是由D.Kroon在J.Wickert编写程序基础上改进的程序,包含了五种不同的数值离散方案,包括标准离散、非负离散、隐式离散、旋转不变离散以及优化离散。分别包括matlab和c的程序。(Method of Image Enhancement Based on Structure Tensor.It includes five different schemes. )

文件列表:

61IC_S545
.........\文件列表.txt,2202,2012-11-19
.........\用于图像边缘增强的Matlab源码(文档清晰,效果很好)
.........\................................................\CoherenceFilter.m,14073,2010-03-24
.........\................................................\compile_c_files.m,1108,2010-06-10
.........\................................................\functions
.........\................................................\.........\clmp.m,113,2009-11-24
.........\................................................\.........\derivatives.c,23034,2009-11-17
.........\................................................\.........\derivatives.m,3272,2009-11-18
.........\................................................\.........\imgaussian.c,22500,2009-11-17
.........\................................................\.........\imgaussian.id0,212992,2010-06-08
.........\................................................\.........\imgaussian.id1,114688,2010-06-08
.........\................................................\.........\imgaussian.m,2178,2010-01-13
.........\................................................\.........\imgaussian.nam,16384,2010-06-08
.........\................................................\.........\imgaussian.til,504,2010-06-08
.........\................................................\.........\showcs3.fig,4935,2008-04-02
.........\................................................\.........\showcs3.m,8755,2010-01-13
.........\................................................\functions2D
.........\................................................\...........\CoherenceFilterStep2D.c,6129,2009-11-17
.........\................................................\...........\CoherenceFilterStep2D.m,618,2009-09-30
.........\................................................\...........\CoherenceFilterStep2D_functions.c,13706,2009-12-22
.........\................................................\...........\ConstructDiffusionTensor2D.m,1996,2010-02-02
.........\................................................\...........\diffusion_scheme_2D_implicit.m,2279,2009-09-30
.........\................................................\...........\diffusion_scheme_2D_non_negativity.m,1925,2009-09-30
.........\................................................\...........\diffusion_scheme_2D_novel.m,2005,2010-06-08
.........\................................................\...........\diffusion_scheme_2D_rotation_invariant.m,1105,2009-11-18
.........\................................................\...........\diffusion_scheme_2D_standard.m,1475,2009-12-15
.........\................................................\...........\EigenVectors2D.m,1200,2009-12-22
.........\................................................\...........\hessian.m,732,2009-12-21
.........\................................................\...........\StructureTensor2D.m,667,2009-12-01
.........\................................................\...........\ut_gauss.m,6127,2010-01-12
.........\................................................\functions3D
.........\................................................\...........\CoherenceFilterStep3D.c,8332,2009-11-17
.........\................................................\...........\CoherenceFilterStep3D.m,625,2009-09-30
.........\................................................\...........\CoherenceFilterStep3D_functions.c,39277,2009-11-17
.........\................................................\...........\diffusion_scheme_3D_implicit.m,3328,2009-09-30
.........\................................................\...........\diffusion_scheme_3D_non_negativity.c,8058,2009-11-17
.........\................................................\...........\diffusion_scheme_3D_non_negativity.m,3343,2009-10-19
.........\................................................\...........\diffusion_scheme_3D_novel.m,2782,2010-06-10
.........\................................................\...........\diffusion_scheme_3D_novel_getUpdate.c,4764,2010-06-10
.........\................................................\...........\diffusion_scheme_3D_novel_getUpdate.m,1287,2010-06-10
.........\................................................\...........\diffusion_scheme_3D_rotation_invariant.c,13193,2009-11-17
.........\................................................\...........\diffusion_scheme_3D_rotation_invariant.m,1164,2009-09-30
.........\................................................\...........\diffusion_scheme_3D_standard.c,5870,2009-11-17
.........\................................................\...........\diffusion_scheme_3D_standard.m,2678,2009-10-19
.........\................................................\...........\EigenDecomposition3.c,10711,2009-11-17
.........\................................................\...........\EigenDecomposition3.h,158,2009-11-17
.........\................................................\...........\EigenVectors3D.c,3517,2009-11-17
.........\................................................\...........\EigenVectors3D.m,1490,2009-09-30
.........\................................................\...........\StructureTensor2DiffusionTensor3D.c,15677,2009-11-17
.........\................................................\...........\StructureTensor2DiffusionTensor3D.m,3264,2010-02-02
.........\................................................\...........\StructureTensor3D.m,600,2009-09-30
.........\................................................\images


.........\................................................\......\sphere.mat,987453,2009-08-26


.........\................................................\license.txt,1371,2010-09-06
.........\................................................\Literature
.........\................................................\..........\Kroon_CoherenceFiltering_IEEE_2009.pdf,271611,2009-11-06
.........\................................................\..........\Kroon_CoherenceFiltering_MICCAI_2010.pdf,290112,2010-06-14
.........\................................................\optimization
.........\................................................\............\error_diffusion_scheme_2D.m,931,2010-03-24
.........\................................................\............\error_diffusion_scheme_3D.m,1001,2010-03-24
.........\................................................\............\fitgaussian.m,326,2010-03-24
.........\................................................\............\fminlbfgs.m,32412,2010-01-04
.........\................................................\............\optimize_scheme_2D.m,2629,2010-06-08
.........\................................................\............\optimize_scheme_3D.m,3006,2010-06-10
.........\................................................\............\testdata.mat,8884634,2010-06-08
.........\................................................\使用说明请参看右侧注释===〉〉.txt,766,2011-03-08

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • PCA
    PCA(主成分分析法)和ICA(独立成分分析法)的MATLAB源程序,他们是目前图像处理比较经典的特征提取方法-PCA (Principal Component Analysis) (matlab function of pca and ica of the signal)
    2013-01-30 10:56:10下载
    积分:1
  • wewina
    matlab 仿真数字信号处理,实现维纳滤波。(Matlab simulation of digital signal processing, and Wiener filter.)
    2006-08-21 15:15:47下载
    积分:1
  • project
    天线平面阵列 绘制方向图 从文件读取各阵列元素的幅度和相位以及坐标 (Antenna planar array draw the pattern read from the file of each array element‘s amplitude and phase as well as coordinate)
    2012-06-09 13:42:44下载
    积分:1
  • t_tide_v1.3beta
    this code can be used to compute classic harmonic analysis
    2013-10-27 21:28:30下载
    积分:1
  • three-algorithms-about-histogram
    本代码实现了三种直方图相关的算法,分别为直方图均衡化,直方图规定化,对比受限自适应直方图均衡化。三种方法放在3个不同的文件夹下,直接运行test文件,就可以得到运行结果(This code implements three histogram algorithm, respectively histogram equalization, histogram provides contrast limited adaptive histogram equalization. Three methods on three different folder, run directly test file, you can get the results)
    2021-02-12 11:39:52下载
    积分:1
  • tracking_demo
    基于卡尔曼滤波算法编写的跟踪问题的演示程序(Based on the Kalman filter algorithm to track the issue prepared demo program)
    2007-11-08 00:20:05下载
    积分:1
  • fuzzypid
    倒立摆 MATLAB 模糊pid控制以及仿真(Inverted pendulum MATLAB fuzzy pid control)
    2013-01-04 14:29:10下载
    积分:1
  • MIFS
    实现基于最大互信息方法的纹理提取,能够优化提取的纹理嘻嘻的维数(mutual information for texture selection)
    2011-11-11 16:08:31下载
    积分:1
  • 打包
    说明:  两种不同的假设: H1 : 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N,f0 为规一化频率 H0 : xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0,方差为 2 σ n 的高斯白噪声,A 已知,样本间相互 独立,信号与噪声相互独立; 相位θ 是随机变量,它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1)改变输入信噪比(改变 A 或噪声方差均可),给定虚警概率,画出 输入信噪比与检测概率之间的理论曲线。(注意:理论检测曲线与样本 数有关) 2)改变样本数,用 Monte-Carlo 实验方法得出 PF=0.001 时输入信噪比 与检测概率之间关系曲线(至少三条),并得出结论。 3)改变 M-C 实验次数,样本数不变,用 Monte-Carlo 实验方法得出 PF =0.001 时输入信噪比与检测概率之间关系曲线(至少三条),并得出 结论。(Draw the theoretical curve between input SNR and detection probability)
    2020-11-24 19:19:32下载
    积分:1
  • matlabbpnn
    基于matlab的三层bp神经网络源程序代码(based on the three-tier bp Matlab neural network source code)
    2006-09-23 22:45:36下载
    积分:1
  • 696518资源总数
  • 106215会员总数
  • 5今日下载