登录
首页 » matlab » US-denoising-and-segment

US-denoising-and-segment

于 2014-03-31 发布 文件大小:4218KB
0 249
下载积分: 1 下载次数: 173
我要下载

代码说明：

  关于超声图像散斑噪声去除（基于非局部均值的快速滤波算法）和超声心动图的分割（基于变分水平集）(This code is concerning with the Speckle reduction(accelerated algorithm based on non-local mean filtering) and the segment of image(based on level set))

文件列表：

Ultrasound image denoising and segment
......................................\Despeckle_real.m,2800,2012-06-27
......................................\Despeckle_sim.m,2448,2012-06-27
......................................\Effect_despeckle.m,3249,2012-06-27
......................................\functions
......................................\.........\Despeckle
......................................\.........\.........\Index
......................................\.........\.........\.....\ENL.m,116,2010-06-19
......................................\.........\.........\.....\FOM.m,575,2014-02-28
......................................\.........\.........\.....\MSE.m,63,2010-11-12
......................................\.........\.........\.....\MSSIM.m,538,2011-12-11
......................................\.........\.........\.....\Q.m,1313,2010-12-08
......................................\.........\.........\.....\SNR.m,196,2012-01-07
......................................\.........\.........\lee.m,2234,2012-06-19
......................................\.........\.........\NLmCode
......................................\.........\.........\.......\EuclideanDis.m,104,2012-05-11
......................................\.........\.........\.......\exceedIndex.m,196,2011-11-24
......................................\.........\.........\.......\expendim.m,625,2012-06-04
......................................\.........\.........\.......\mmr.m,343,2011-11-30
......................................\.........\.........\.......\MotionEstimation
......................................\.........\.........\.......\................\dmove.m,1051,2011-11-23
......................................\.........\.........\.......\................\funcMAD.m,75,2011-11-23
......................................\.........\.........\.......\................\match_big.m,1648,2011-11-24
......................................\.........\.........\.......\................\match_small.m,918,2011-11-24
......................................\.........\.........\.......\................\velocityField.m,495,2011-11-28
......................................\.........\.........\.......\NLM.m,1275,2012-06-20
......................................\.........\.........\.......\NLMeanPixel.m,963,2012-06-20
......................................\.........\.........\.......\NLMeans.m,235,2012-06-20
......................................\.........\.........\.......\NLMeansBlock.m,1046,2012-01-08
......................................\.........\.........\.......\OBNLM.m,591,2012-06-27
......................................\.........\.........\.......\pearsonDis.m,73,2011-11-25
......................................\.........\.........\.......\TSNLM.m,1287,2012-06-27
......................................\.........\.........\.......\weightCoef.m,220,2012-06-05
......................................\.........\.........\.......\weightCoefnlm.m,83,2012-06-04
......................................\.........\.........\NWMD
......................................\.........\.........\....\class_th.m,211,2010-04-28
......................................\.........\.........\....\decompose.m,279,2010-04-23
......................................\.........\.........\....\dec_scale.m,1603,2010-04-28
......................................\.........\.........\....\diffusion_th.m,306,2010-04-22
......................................\.........\.........\....\fit_mix_Rayleigh.m,2084,2012-05-14
......................................\.........\.........\....\g.m,421,2010-04-22
......................................\.........\.........\....\homo_region.m,532,2010-04-23
......................................\.........\.........\....\nor_modul.m,586,2012-05-14
......................................\.........\.........\....\NWMD.m,1217,2012-05-14
......................................\.........\.........\....\para_Ray.m,355,2012-05-14
......................................\.........\.........\....\reconstruct.m,213,2010-04-22
......................................\.........\.........\....\rec_scale.m,1990,2010-04-23
......................................\.........\.........\SBF.m,1794,2012-06-19
......................................\.........\.........\speckle.m,261,2012-06-19
......................................\.........\.........\srad.m,2303,2014-02-27
......................................\.........\Segmentation
......................................\.........\............\drlse_edge.m,3595,2011-03-15
......................................\.........\............\energy_LV.m,2918,2012-06-16
......................................\.........\............\energy_LV2.m,3309,2012-06-16
......................................\images




......................................\......\DM_parameters.mat,11480868,2012-06-27

......................................\......\kidney_cut.bmp,246782,2008-06-05
......................................\......\WBL1.bmp,87302,2012-06-20
......................................\......\WBL2.bmp,87302,2012-06-20
......................................\......\WBL3.bmp,87302,2012-06-20
......................................\......\WLMs





......................................\......\....\WLMs.avi0006.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0007.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0008.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0009.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0010.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0011.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0012.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0013.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0014.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0015.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0016.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0017.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0018.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0019.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0020.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0021.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0022.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0023.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0024.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0025.bmp,1440054,2012-06-08
......................................\......\....\WLMs.avi0026.bmp,1440056,2012-06-09
......................................\......\....\WLMs.avi0027.bmp,1440056,2012-06-09
......................................\......\....\WLMs.avi0028.bmp,1440056,2012-06-09
......................................\......\....\WLMs.avi0029.bmp,1440056,2012-06-09
......................................\......\....\WLMs.avi0030.bmp,1440056,2012-06-09
......................................\......\....\WLMs.avi0031.bmp,1440056,2012-06-09
......................................\......\....\WLMs.avi0032.bmp,1440056,2012-06-09
......................................\......\....\WLMs.avi0033.bmp,1440056,2012-06-09
......................................\......\....\WLMs.avi0034.bmp,1440056,2012-06-09

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

  • fig2cad
    说明：  matlab生成的fig图纸转换为DXF文件(Converting fig drawings generated by MATLAB into DXF files)
    2020-07-12 10:28:58下载
    积分：1
  • array2
    能够提取一幅图片的不变矩特征值，方便大家学习图像识别方面的开发技术(Able to extract a picture of the moment invariant features of value, to facilitate learning in the development of image recognition technology)
    2011-07-16 11:03:02下载
    积分：1
  • noise-plus-image
    对图像添加各种噪声 高斯噪声 淑盐噪声(Add a variety of image noise, Gaussian noise, noise, salt-sook)
    2009-09-06 10:59:06下载
    积分：1
  • n个点电荷的电场线代码
    说明：  n个点电荷电场线的matlab仿真 分别有1个 2个等（可以通过改变程序数字来得到相应的仿真结果）(Matlab simulation of N-point charge electric field lines)
    2020-11-15 16:09:40下载
    积分：1
  • 腐蚀与膨胀
    说明：  自己编写的图像腐蚀与膨胀matlab代码，经试验证明与matlab中自带的腐蚀和膨胀函数运行效果相同，可供初学图像处理的同学参考使用。(The image corrosion and expansion matlab code written by myself has been proved to be the same as the corrosion and expansion function of the matlab. It can be used by students who are ready for beginner image processing.)
    2021-01-13 14:48:48下载
    积分：1
  • Local
    说明：  用于虹膜图像处理过程中的定位过程，采用二值化结合hough变化方法进行虹膜区域的定位(For the iris image processing positioning process, combined with the use of binarization methods hough change the positioning of the iris region)
    2008-11-12 10:57:39下载
    积分：1
  • chap01
    数字图像处理编程入门（吕风军）第一章第1章 Windows位图和调色板(Windows Bitmap and palette of the first chapter, Chapter 1 of the digital image processing program entry (Lv Fengjun))
    2012-11-01 14:06:21下载
    积分：1
  • newgabordetect
    为GABOR小波的详细MATLAB实现代码，详细分析了该小波的各种性能()
    2008-05-29 11:29:40下载
    积分：1
  • Particle-Filter-with-comments
    说明：  有注释的粒子滤波程序。粒子滤波(PF: Particle Filter)的思想基于蒙特卡洛方法(Monte Carlo methods)，它是利用粒子集来表示概率，可以用在任何形式的状态空间模型上。(Annotated particle filter program. Particle filter (PF: Particle Filter) Monte Carlo method based on the idea (Monte Carlo methods), which is set to represent the probability of a particle can be used in any form of state space model.)
    2011-03-07 17:01:45下载
    积分：1
  • Inpainting--on-Wavelet-
    图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。(Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the texture and structure in regions of missing image information. In order to inpaint the damaged image with both missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently restore the structure and texture information at the same time, and the visual eff)
    2012-06-05 22:04:45下载
    积分：1
  • 696518资源总数
  • 106155会员总数
  • 8今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2025 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！