登录
首页 » matlab » 马尔科夫随机场算法matlab实现图像分辨率增强

马尔科夫随机场算法matlab实现图像分辨率增强

于 2020-03-19 发布
0 301
下载积分: 1 下载次数: 2
我要下载

代码说明：

说明：  马尔科夫随机场算法matlab实现图像分辨率增强(Markov enhanced the image resolution)

文件列表：

maerkefu\maerkf.m, 2529 , 2018-07-11
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\.gitattributes, 483 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\.gitignore, 2643 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal\blur_image.m, 156 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal\main_restore.m, 155 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal\original.jpg, 63195 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal\restore_image.m, 2094 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal\Untitled2.m, 169 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\covmatrix.m, 168 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\EnergyOfFeatureField.m, 478 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\EnergyOfLabelField.m, 396 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\foot_ulcer_0028.jpg, 20189 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\GMM_parameter.m, 250 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\ICM.m, 766 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\imstack2vectors.m, 907 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\leg_ulcers_0017.jpg, 25814 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\leg_ulcers_0097.jpg, 26267 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\leg_ulcer_case_2_7.jpg, 32610 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\Main_seg.m, 678 , 2018-07-17
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\NeiX.m, 709 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Readme.txt, 647 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\wound.m, 949 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\00615858.pdf, 466520 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\00650883.pdf, 214169 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\00698638.pdf, 108370 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\00769356.pdf, 164846 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\04767596.pdf, 9423103 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\0903.3114.pdf, 356544 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\33.pdf, 297026 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\Besag86.pdf, 6741486 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\FigueiredoCVPR.pdf, 1445440 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\good 1-s2.0-0167865594900280-main.pdf, 514674 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\MRF.pdf, 2492641 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\mrfbook.pdf, 7330392 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\NOISE ijjvol2no3p3.pdf, 330803 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\pattrec99.pdf, 946743 , 2014-10-14
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Readme.txt, 647 , 2014-10-14
maerkefu\__MACOSX\._Wound_Image_Segmentation_by_Markov_Random_Field-master, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\._.gitattributes, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\._.gitignore, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\._Code, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\._Read Paper, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\._Readme.txt, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\._Gaussian noise Removal, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\._MRF_Edge, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\._Readme.txt, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\._wound.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal\._blur_image.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal\._main_restore.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal\._original.jpg, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal\._restore_image.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal\._Untitled2.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._covmatrix.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._EnergyOfFeatureField.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._EnergyOfLabelField.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._foot_ulcer_0028.jpg, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._GMM_parameter.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._ICM.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._imstack2vectors.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._leg_ulcers_0017.jpg, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._leg_ulcers_0097.jpg, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._leg_ulcer_case_2_7.jpg, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._Main_seg.asv, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._Main_seg.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge\._NeiX.m, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._00615858.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._00650883.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._00698638.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._00769356.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._04767596.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._0903.3114.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._33.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._Besag86.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._FigueiredoCVPR.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._good 1-s2.0-0167865594900280-main.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._MRF.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._mrfbook.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._NOISE ijjvol2no3p3.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper\._pattrec99.pdf, 212 , 2014-10-14
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal, 0 , 2018-08-18
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge, 0 , 2018-08-18
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\Gaussian noise Removal, 0 , 2018-08-18
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code\MRF_Edge, 0 , 2018-08-18
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code, 0 , 2018-08-18
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper, 0 , 2018-08-18
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Code, 0 , 2018-08-18
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master\Read Paper, 0 , 2018-08-18
maerkefu\__MACOSX\Wound_Image_Segmentation_by_Markov_Random_Field-master, 0 , 2018-08-18
maerkefu\Wound_Image_Segmentation_by_Markov_Random_Field-master, 0 , 2018-08-18
maerkefu\__MACOSX, 0 , 2018-08-18
maerkefu, 0 , 2018-08-18

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

  • top
    弹流油膜数值计算画等高图，难以得到预想马蹄形特征，通过代码处理，可以方便的解决问题，得到满意的预想图(EHL film numerical draw contour map, it is difficult to obtain desired characteristic horseshoe, processing through the code, you can easily solve the problem, get a satisfactory RENDERING)
    2013-06-06 09:21:08下载
    积分：1
  • color_bar
    彩条产生程序。。。。720p需添加74.25M时钟(colorbar generation. need 74.25mhz clock if 720p gen)
    2020-06-22 06:20:01下载
    积分：1
  • optical_flow.tar
    matlab写的一个经典的用于计算光流的工具箱。(Matlab write a classic optical flow used in the calculation of the toolbox.)
    2006-08-18 22:24:06下载
    积分：1
  • ImSpliceDataset
    哥伦比亚大学灰度拼接图像库，用于拼接图像统计特征的检测等相关研究(Studies at Columbia University gray mosaic image library for image stitching feature detection statistics)
    2014-05-12 11:03:15下载
    积分：1
  • yudong
    说明：  运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点(Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better results)
    2010-04-12 15:29:00下载
    积分：1
  • 01-LSB-image
    说明：  LSB算法在图像中隐藏文本信息，实现效果良好，分享给大家(The LSB algorithm hides the text information in the image to achieve good results and share it with everyone)
    2020-06-19 21:52:34下载
    积分：1
  • change detection with IDL
    关于遥感影像分类和变化检测的一本外文数据，其特色在于用IDL实现了很多经典算法，很值得借鉴！(Foreign language data on a remote sensing image classification and change detection, which feature IDL achieve many classical algorithm, it is worth learning!)
    2012-10-11 11:42:53下载
    积分：1
  • txpz
    图像配准的很好的程序，里面用到粒子群算法(image registration is a good procedure, which used PSO)
    2007-01-08 11:18:10下载
    积分：1
  • RobotToolbox
    机器人视觉工具箱,有丰富的例程.进行视频监控,目标检测与跟踪有用.(Visual robot kit has a wealth of routine. To conduct video surveillance, target detection and tracking useful.)
    2007-09-28 23:00:01下载
    积分：1
  • GA-FCM
    遗传算法与FCM算法相结合实现图像分割，分割精度较好，速度较快(A combination of genetic algorithm and FCM algorithm to achieve image segmentation, segmentation accuracy is better, faster)
    2012-06-05 09:06:01下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0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© 2019-2026 | 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！