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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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0 个回复

  • zz
    说明：  实现机器视觉双目标定，三维重建等算法，具有很好地擦考价值( Robot with two cameras to switch recognition system. (Note that not binocular vision) and the reference used opencv1.0 cmv. )
    2012-10-28 17:09:47下载
    积分：1
  • 5845688suanfayanjiu
    基于扫描地形图的几何纠正算法研究。主要讲解了关于倾斜的数字图像的处理问题。(Scanned topographic maps based on the geometric correction algorithm. Mainly on the inclination to explain the deal with the issue of digital images.)
    2008-03-01 21:15:43下载
    积分：1
  • demo
    对BMP文件进行图像处理，包括：边缘检测、频域变换、几何变换、图像变换校正、灰度变换、图像编码、平滑和匹配(BMP files for image processing, comprising: an edge detection, a frequency domain transformation, geometric transformation, image transformation correction gradation conversion, image coding, and matching the smooth)
    2014-01-12 10:17:03下载
    积分：1
  • secaizhuanyi
    运用openCV编写的C++图像色彩转移程序，原理是先转化到Lab图像，再保持L不变调整图像的a、b分量的均值跟方差。(Using openCV prepared C++ image color transfer process, the principle is first converted to Lab image, and then adjust the image to keep L constant a, b, with the mean variance component.)
    2013-09-15 16:40:26下载
    积分：1
  • EyeTracking-with-OpenCV--
    说明：  转载的，通过眨眼前后灰度图对比是别人眼，一个学习opencv工具的好例程。(Reproduced by blinking eyes of others around the grayscale contrast, a learning tool opencv good routine.)
    2011-03-19 21:57:03下载
    积分：1
  • wheel-treadmonitoring
    城轨车辆轮对踏面故障在线监测系统，基于振动检测法的轮对踏面故障监测系统，通过傅里叶变换、小波包分析对釆集到的振动信号进行分析获得信号的特征,研究了基于短时能量判断的踏面故障特征提取算法。(On line monitoring system for wheel tread of urban rail vehicles, based on the vibration detection method of wheel tread fault monitoring system, through the Fu Liye transform, wavelet packet analysis of the collected vibration signals to obtain the characteristics of the signal, the study of the short-term energy judgment based on the feature extraction algorithm.)
    2021-01-28 16:18:42下载
    积分：1
  • band-selection
    基于图像对比度和波段相关性的波段选择算法，适用于高光谱图像的特征选择(Bands selection algorithm based on image contrast and correlation of bands for hyperspectral image feature selection)
    2020-10-09 11:47:34下载
    积分：1
  • PC_grid
    通过点云数据的格网化，建立格网分块索引，这是一种有效的点云数据存储方式。( Through the point cloud data grid , the establishment of a grid block index, which is a valid point cloud data storage. )
    2014-02-20 10:55:46下载
    积分：1
  • PCA
    这是关于pca的文件，说明实现pca的降维(This is the file on pca, achieve pca dimensionality reduction)
    2020-07-02 01:40:01下载
    积分：1
  • weighted-least-squares-filter
    基于加权最小二乘最优化框架的滤波器。可用于实现图像的分层编辑。(Weighted least square)
    2021-04-22 10:28:48下载
    积分：1
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