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MRF_imgSeg

于 2021-03-18 发布
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代码说明：

说明：  是马尔可夫图像分割的C++程序，可以用于遥感图像(It's a C++ program for Markov image segmentation, which can be applied to remote sensing images.)

文件列表：

MRF_imgSeg\Debug\BscMake.command.1.tlog, 598 , 2017-10-07
MRF_imgSeg\Debug\bscmake.read.1.tlog, 880 , 2017-10-07
MRF_imgSeg\Debug\bscmake.write.1.tlog, 452 , 2017-10-07
MRF_imgSeg\Debug\cl.command.1.tlog, 3298 , 2017-10-07
MRF_imgSeg\Debug\CL.read.1.tlog, 50300 , 2017-10-07
MRF_imgSeg\Debug\CL.write.1.tlog, 1708 , 2017-10-07
MRF_imgSeg\Debug\link-cvtres.read.1.tlog, 2 , 2017-10-07
MRF_imgSeg\Debug\link-cvtres.write.1.tlog, 2 , 2017-10-07
MRF_imgSeg\Debug\link.command.1.tlog, 2718 , 2017-10-07
MRF_imgSeg\Debug\link.read.1.tlog, 7160 , 2017-10-07
MRF_imgSeg\Debug\link.write.1.tlog, 1000 , 2017-10-07
MRF_imgSeg\Debug\mrf.obj, 22844 , 2017-10-07
MRF_imgSeg\Debug\mrf.sbr, 0 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg.bsc, 11471872 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg.Build.CppClean.log, 2211 , 2017-08-05
MRF_imgSeg\Debug\MRF_imgSeg.exe, 6229504 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg.exe.embed.manifest, 667 , 2017-08-05
MRF_imgSeg\Debug\MRF_imgSeg.exe.embed.manifest.res, 732 , 2017-08-05
MRF_imgSeg\Debug\MRF_imgSeg.exe.intermediate.manifest, 381 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg.ilk, 14844752 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg.lastbuildstate, 64 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg.log, 2783 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg.obj, 30869 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg.pch, 48824320 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg.pdb, 23055360 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg.res, 12812 , 2017-08-05
MRF_imgSeg\Debug\MRF_imgSeg.sbr, 0 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSegDlg.obj, 85410 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSegDlg.sbr, 0 , 2017-10-07
MRF_imgSeg\Debug\MRF_imgSeg_manifest.rc, 216 , 2017-08-05
MRF_imgSeg\Debug\mt.command.1.tlog, 742 , 2017-10-07
MRF_imgSeg\Debug\mt.read.1.tlog, 628 , 2017-10-07
MRF_imgSeg\Debug\mt.write.1.tlog, 446 , 2017-10-07
MRF_imgSeg\Debug\rc.command.1.tlog, 1020 , 2017-08-05
MRF_imgSeg\Debug\rc.read.1.tlog, 6064 , 2017-08-05
MRF_imgSeg\Debug\rc.write.1.tlog, 422 , 2017-08-05
MRF_imgSeg\Debug\roi_add.exe, 98816 , 2017-07-17
MRF_imgSeg\Debug\StdAfx.obj, 726086 , 2017-10-07
MRF_imgSeg\Debug\StdAfx.sbr, 6585040 , 2017-10-07
MRF_imgSeg\Debug\vc100.idb, 1649664 , 2017-10-07
MRF_imgSeg\Debug\vc100.pdb, 3338240 , 2017-10-07
MRF_imgSeg\mrf.cpp, 6185 , 2008-07-17
MRF_imgSeg\mrf.h, 1027 , 2008-07-17
MRF_imgSeg\MRF_IMGSEG\Debug\cl.command.1.tlog, 2506 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\Debug\CL.read.1.tlog, 2034 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\Debug\CL.write.1.tlog, 1230 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\Debug\MRF_IMGSEG.lastbuildstate, 64 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\Debug\MRF_IMGSEG.log, 1953 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\Debug\MRF_IMGSEG.unsuccessfulbuild, 0 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\Debug\MRF_IMGSEG.write.1.tlog, 0 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\Debug\vc100.idb, 19456 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\Debug\vc100.pdb, 36864 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\mrf.cpp, 6185 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\mrf.h, 1027 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\MRF_imgSeg.cpp, 2119 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\MRF_imgSeg.h, 1368 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\MRF_IMGSEG.vcxproj, 3899 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\MRF_IMGSEG.vcxproj.filters, 1703 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\MRF_IMGSEG.vcxproj.user, 143 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\MRF_imgSegDlg.cpp, 7195 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\MRF_imgSegDlg.h, 1828 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\Resource.h, 826 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\StdAfx.cpp, 1647 , 2017-07-18
MRF_imgSeg\MRF_IMGSEG\StdAfx.h, 1382 , 2017-07-18
MRF_imgSeg\MRF_imgSeg.aps, 35760 , 2008-07-17
MRF_imgSeg\MRF_imgSeg.clw, 1244 , 2008-07-18
MRF_imgSeg\MRF_imgSeg.cpp, 2119 , 2008-07-16
MRF_imgSeg\MRF_imgSeg.dsp, 4409 , 2008-07-18
MRF_imgSeg\MRF_imgSeg.dsw, 543 , 2008-07-16
MRF_imgSeg\MRF_imgSeg.h, 1368 , 2008-07-16
MRF_imgSeg\MRF_imgSeg.ncb, 66560 , 2008-07-18
MRF_imgSeg\MRF_imgSeg.opt, 52736 , 2008-07-18
MRF_imgSeg\MRF_imgSeg.plg, 770 , 2008-07-18
MRF_imgSeg\MRF_imgSeg.rc, 5398 , 2008-07-17
MRF_imgSeg\MRF_imgSeg.sdf, 68440064 , 2017-10-07
MRF_imgSeg\MRF_imgSeg.sln, 886 , 2017-10-07
MRF_imgSeg\MRF_imgSeg.suo, 19968 , 2017-10-07
MRF_imgSeg\MRF_imgSeg.vcxproj, 8492 , 2017-10-07
MRF_imgSeg\MRF_imgSeg.vcxproj.filters, 2111 , 2017-10-07
MRF_imgSeg\MRF_imgSeg.vcxproj.user, 143 , 2017-07-17
MRF_imgSeg\MRF_imgSegDlg.cpp, 7195 , 2008-07-17
MRF_imgSeg\MRF_imgSegDlg.h, 1828 , 2008-07-17
MRF_imgSeg\ReadMe.txt, 3651 , 2008-07-16
MRF_imgSeg\res\MRF_imgSeg.ico, 1078 , 2008-07-16
MRF_imgSeg\res\MRF_imgSeg.rc2, 402 , 2008-07-16
MRF_imgSeg\Resource.h, 826 , 2008-07-17
MRF_imgSeg\StdAfx.cpp, 1647 , 2008-07-17
MRF_imgSeg\StdAfx.h, 1382 , 2008-07-17
MRF_imgSeg\ipch\mrf_imgseg-1bf90b8c, 0 , 2017-10-07
MRF_imgSeg\MRF_IMGSEG\Debug, 0 , 2017-07-18
MRF_imgSeg\Debug, 0 , 2017-10-07
MRF_imgSeg\ipch, 0 , 2017-10-07
MRF_imgSeg\MRF_IMGSEG, 0 , 2017-07-18
MRF_imgSeg\res, 0 , 2017-07-17
MRF_imgSeg, 0 , 2017-10-07

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发表评论

0 个回复

  • hhh
    说明：  关于图像处理技术在冬小麦测试中的应用，用VC编的软件能对小麦进行二值化处理，中值滤波和灰度变换。(On image processing technology in the winter wheat test the application of the software made by VC on wheat binarization processing, median filtering and gray-scale transformation.)
    2008-10-23 22:42:29下载
    积分：1
  • PM
    说明：  Perona和Malik在热传导方程的基础上，建立了各向异性扩散方程并将其应用到了图像处理中尺度空间的图像平滑上，该模型针对图像的边缘部分和非边缘部分进行不同性质的图像处理，同时解算方程的迭代格式简单，克服传统滤波的主要缺陷，是图像质量大为改善，为图像的边缘检测和增强开辟了新的方向。(This process smoothes regions while preserving, and enhancing, the contrast at sharp intensity gradients.)
    2011-07-04 21:30:44下载
    积分：1
  • imageedit
    实现一些图像的编辑功能，比如图像的打开，关闭，新建，删除，反转，等一些功能(Implement some image editing features, such as the image open, close, create, delete, reverse, and some other functions)
    2010-12-20 13:26:18下载
    积分：1
  • Bppeizhuna
    基于互信息的图像配准源代码，，采用粒子群优化算法可直接使用。 (Based on mutual information image registration source code, using particle swarm optimization algorithm can be used directly.)
    2012-07-19 09:58:24下载
    积分：1
  • tuxiangxihua
    图像处理基本算法其中之一的图像细化(Image processing one of the basic algorithm for image thinning)
    2008-06-04 17:11:50下载
    积分：1
  • FaceDetection
    该程序可以将一附图片中的人的脸部轮廓检测出来，以作后续处理。(The program can be attached to a film of people' s facial contours detected for follow-up.)
    2009-05-12 17:00:32下载
    积分：1
  • future_net.tar
    2016华为软件精英挑战赛，采用迪杰斯特拉算法，效率高，但需要自行修改(HUAWEI software challenge 2016)
    2016-04-12 14:00:55下载
    积分：1
  • ch2_ex2_4
    载入一副图像并进行平滑处理与高斯或其他核函数进行卷积有效的减少图像信息内容(Loading an image and smoothed with a Gaussian or other nuclear convolution function effectively reduce the information content of the image)
    2016-08-23 16:01:08下载
    积分：1
  • doublemeter
    圆形图表的处理，包括大圆套小圆，双指针，针对设计仪表的初学者很有帮助(Treatment of circular charts, including the great circle sets of small round, double pointer, very helpful for beginners instrument design)
    2010-12-26 13:56:03下载
    积分：1
  • OpenSURF_matlab
    SURF 图像特征点快速提取法还有描述，可用于迅速匹配两张图片中的特征点(SURF image feature points extraction method also described fast, can be used to quickly match the image feature points in the two)
    2014-03-28 01:08:21下载
    积分：1
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