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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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  • BIQI_release
    属于图像质量评价领域，无参考质量评价算法算法BIQI(Belongs to the field of image quality assessment, quality assessment algorithm without reference algorithm BIQI)
    2021-01-07 23:28:52下载
    积分：1
  • hyperAce
    高光谱图像目标检测ACE算法，适用于已知目标信息情况(HYPERACE Performs the adaptive cosin/coherent estimator algorithm Performs the adaptive cosin/coherent estimator algorithm for target detection.)
    2020-10-26 17:10:00下载
    积分：1
  • 图片位深度转换
    基于mfc对话框开发的图片位深度转换器，源码部分截图如下。 CImage img;    img.Load("D:\qrcode.png");    img.Save("D:\qrcode.bmp");    CxImage ximage;    ximage.Load("D:\qrcode.bmp", CXIMAGE_FORMAT_BMP);    ximage.AlphaStrip();    ximage.Save("D:\11.bmp", CXIMAGE_FORMAT_BMP);
    2019-09-04下载
    积分：1
  • Defect-detection
    基于灰度图像进行傅立叶变换后的二值化处理(Binarization based on the Fourier transform after the gray image processing)
    2014-12-21 13:56:05下载
    积分：1
  • Impulse_noise_removal
    冲击噪声识别和消除的新算法，可以消除高达95 的冲击噪声，可用于毫米波成像等高脉冲噪声的恶劣环境(A novelt impulse noise removal algorithm which can work under the circumustance that the noise ratio reaches to 95 . )
    2020-12-14 21:49:14下载
    积分：1
  • HarrisCorner
    对输入的一张彩色图像，自己写代码实现Harris Corner 检测算法： 1. 不能直接调用OpenCV 里面与Harris 角点检测相关的一些函数； 2. 只能用C/C++，不能用其他语言； 3. GUI 只能用自带的HighGUI，不能用QT 或其他的； 4. 平台可以用Windows， Linux, MacOS； 5. 显示中间的处理结果及最终的检测结果，包括最大特征值图，最小特征值图，R 图（可以考虑彩色 展示），原图上叠加检测结果等，并将这些中间结果都输出成图像文件； 6. 命令格式： “xxx.exe 图片文件 k 参数(=0.04) Aperture_size(=3)”。(The input of a color image, write your own code to achieve Harris Corner Detection Algorithm: 1. Can not be called directly inside OpenCV some functions associated with the Harris corner detection 2. To only use C/C++, can not be used in other languages 3. GUI only with their own HighGUI, can not use QT or other 4. The platform can be used Windows, Linux, MacOS 5. Display intermediate and final results of the test results, including the largest eigenvalues diagram, the minimum feature value graph , R chart (you can consider color display), picture superimposed on the test results, etc., and these intermediate results are output as an image file 6. Command Format: " xxx.exe picture file k parameters (= 0.04) Aperture_size (= 3 ). " )
    2016-01-04 12:44:23下载
    积分：1
  • 10257131SupResolDemo
    单帧图像超分辨率重建。对于学习超分辨率重建很有帮助。(Super-resolution reconstruction of single frame image.It is helpful for learning super-resolution reconstruction.)
    2020-11-10 20:59:46下载
    积分：1
  • weightedMedian
    中值滤波在图像处理中占据很重要的地位，本代码是加权中值滤波处理源码。希望对大家有用。(Median filter in image processing occupies a very important position, the code is weighted median filter processing source. Hope to be useful.)
    2010-09-13 01:11:21下载
    积分：1
  • 图像空域增强处理
    说明：  思想：把原始图的直方图变换为均匀分布的形式，这样就增加了灰度值的动态 范围从而达到增强图像整体对比度的效果。其优点是能自动地增强整个 图像的对比度。 1、对灰度图像进行直方图的均衡化处理，达到图像增强的目的。 2、利用平均滤波和中值滤波对图像进行平滑滤波。 3、利用拉普拉斯运算对图像进行锐化滤波。(Idea: transform the histogram of the original image into the form of uniform distribution, so as to increase the dynamic gray value Range to enhance the overall contrast of the image. Its advantage is that it can automatically enhance the contrast of the whole image. 1. The gray image is processed by histogram equalization to achieve the purpose of image enhancement. 2. Average filter and median filter are used to smooth the image. 3. Using Laplace operation to sharpen the image.)
    2019-11-13 16:49:49下载
    积分：1
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    2007-05-12 02:56:57下载
    积分：1
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