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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
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下载积分: 1 下载次数: 2

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

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发表评论

0 个回复

  • Lucas_Kanade
    一个运动估计运算的MATLAB文件,本人已经测试过,非常有用。(A motion estimation MATLAB file operations, I have been tested, very useful.)
    2008-08-15 13:34:30下载
    积分:1
  • untitled
    图像倒频谱生成并分析,可以用于运动模糊图像的PSF参数估计(Cepstrum image generation and analysis, can be used for motion-blurred image PSF parameter estimation)
    2021-02-04 17:59:57下载
    积分:1
  • dingwei_cooperate_ekf
    两船协同导航,利用EKF滤波,主要用于主从式的协同导航,滤波参数要根据实际需要合理调节(Collaborative navigation of both vessels, the use of the EKF filter, mainly used for the master-slave collaboration navigation filter parameters according to the actual needs of a reasonable adjustment)
    2021-03-04 12:49:32下载
    积分:1
  • xt2
    请采用学过的图像去噪方法(鼓励自己研究新算法),对Circuit_noise.jpg 、boy_noisy.gif(周期噪声) 和california_22_13.bmp图像进行去噪处理。(Please use learned denoising method (to encourage their study new algorithm), to Circuit_noise.jpg, boy_noisy.gif (periodic noise) and california_22_13.bmp image de-noising.)
    2016-11-10 17:18:25下载
    积分:1
  • ellipsefitting
    输入一组数据,xy值,用来拟合椭圆。只要改变输入数据,该代码就可以直接使用。另附上椭圆拟合算法。(Enter a set of data, xy values, used to fit ellipses. Just change input data, the code can be used directly. Attached on the ellipse fitting algorithm.)
    2010-11-15 14:56:43下载
    积分:1
  • color
    简单图像颜色特征提取,用于自己使用,基本常规的那种(Simple Image Color Feature Extraction)
    2019-05-12 21:48:25下载
    积分:1
  • jiyuneirongdetuxiangjiansuo
    说明:  基于内容的图像检索,包括纹理、形状、颜色(Content-based image retrieval, including texture, shape, color)
    2011-04-16 20:46:50下载
    积分:1
  • 数字用到的标准测试 typical
    数字图像处理用到的标准测试图像,很多图片。(IMP test images。)
    2013-10-24 22:18:01下载
    积分:1
  • 1254896
    利用小波变换的去噪程序!和中值滤波进行对比!(The use of wavelet transform denoising procedure! And median filtering comparison!)
    2013-11-23 12:20:05下载
    积分:1
  • popescu_resample
    基于预测误差周期性的图像重采样检测程序。(Image resampling detection based on the periodicity of prediction error)
    2020-08-12 11:28:26下载
    积分:1
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