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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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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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0 个回复

  • zaosheng
    说明：  噪声估计法，先定位噪声点，再实行去噪处理(Noise estimation method, first locate the noise points, then implement denoising.)
    2020-06-19 16:20:01下载
    积分：1
  • LBP
    LBP（局部二值模式）特征提取，用于人脸识别，(LBP feature extraction for face recognition. . .)
    2013-08-05 17:47:28下载
    积分：1
  • KMEANS(matlab)
    说明：  Matlab环境下的k-means聚类算法，实现图像分割，很快阿！(K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!)
    2005-09-29 18:19:51下载
    积分：1
  • SURF-based-image-stitching
    SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 (SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching. )
    2014-08-30 15:12:42下载
    积分：1
  • Image-region-annotation-semantic
    区域语义多样性密度的图像标注。图像标注的好论文。(Image region annotation semantic diversity density. Image annotation good paper. )
    2014-09-13 14:16:28下载
    积分：1
  • tuxiangpingjie
    图像拼接及柱面全景图生成算法研究 图像拼接及柱面全景图生成算法研究(Image mosaicing and cylinder panorama generation algorithm is studied)
    2012-01-14 19:37:10下载
    积分：1
  • testfill
    矢量区域填充算法（包括汉字提取生成） 算法(Vector area filling algorithm (including the extraction of Chinese characters generated) algorithm)
    2007-08-09 11:44:31下载
    积分：1
  • Gabor_matlab
    matlab图像处理非常重要，Gabor小波提取特征,然后用支持向量机作分类器，可以用于掌纹，人脸，指纹识别(Gabor wavelet feature extraction, and then use the support vector machine classifier, can be used for palmprint, face, fingerprint recognition)
    2012-11-27 14:21:38下载
    积分：1
  • MATLAB
    is very good,i think you will be liake it
    2014-05-23 18:45:30下载
    积分：1
  • xy7z
    无源双基地雷达直达波脉冲丢失与相位突变影响分析Passive bistatic radar direct wave pulse loss and phase change impact analysis(Passive bistatic radar direct wave pulse loss and phase change impact analysis)
    2012-05-18 22:27:07下载
    积分：1
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