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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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  • svdandpca
    这是matlab官方网站的一个快速实现svd分解的函数,通过对矩阵的截断加速(This is a quick realization svd decomposition function matlab official website, through the cut-off acceleration matrix)
    2021-03-04 09:19:32下载
    积分:1
  • ensemblelearning
    该源代码主要是利用bagging,adboosting等集成学习的方法进行图像融合处理,效果甚好!(The main source is the use of bagging, adboosting ensemble learning methods such as image fusion, the effect is very good!)
    2010-11-03 10:00:53下载
    积分:1
  • divide
    对图像进行分块处理,可以设置分块比例,该程序设置的是8*8的比例,将图像分成64块(The image processing block, you can set the ratio of the block, the program is set proportion of 8* 8, the image is divided into 64)
    2014-02-09 10:02:56下载
    积分:1
  • 去污
    图象去污渍,mask为污渍图象,另一个为原图或受损图象(Image to remove stains, mask for stained images, and the other for original or damaged images.)
    2018-06-28 20:22:57下载
    积分:1
  • gvf_snake algorithm
    说明:  GVF-SNAKE分割 解决了收敛速度慢、收敛不理想的问题(Image segmentation using GVF Snake)
    2021-03-04 12:59:32下载
    积分:1
  • LISQ
    说明:  利用红黑小波进行图像去噪,图像复原,并与常规的小波进行比较(use red, black and wavelet denoising images, image recovery, and with the conventional comparison of wavelet)
    2006-03-28 20:11:55下载
    积分:1
  • fcm
    fcm图像分割 fcm图像分割(FCM FCM image segmentation image segmentation)
    2021-05-09 19:38:34下载
    积分:1
  • contourlet
    说明:  基于contourlet的图像融合利用的融合策略是取像素绝对值最大。此方法用得较少,有学习价值(Contourlet based image fusion using the fusion strategy is to take the absolute value of the maximum pixel. This method is used less, the value of learning)
    2011-03-30 21:12:17下载
    积分:1
  • segment_ga
    说明:  利用遗传算法进行图像分割(matlab源码)(The use of genetic image segmentation algorithm (matlab source))
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    积分:1
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    对理想的心音信号加入噪声,仿真成实际带噪声的心音信号,然后对其进行维纳滤波程序(The ideal heart sound signal added noise, simulation into actual heart sounds with noise signal, and then its Wiener filtering program)
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    积分:1
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