登录
首页 » Visual C++ » MRF_imgSeg

MRF_imgSeg

于 2021-03-18 发布
0 322
下载积分: 1 下载次数: 0
我要下载

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

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

  • ESS
    基于efficient subwindow search算法的windows实现(efficient subwindow search for windows )
    2009-12-27 00:08:09下载
    积分：1
  • Graph
    输入一个带权无向图的顶点数、边数、各条边信息（两个顶点和权值），建立该图的邻接矩阵结构，输出该邻接矩阵。将上述无向图邻接矩阵转换为邻接表结构，输出该邻接表；根据该邻接表对无向图进行深度优先遍历序列和广度优先遍历序列，并输出遍历结果；用prim算法实现构造该带权无向图的最小生成树，并将该最小生成树的各条边信息输出。(Enter a weighted undirected graph with vertices, edges, each of the side information (two vertices and weights), the establishment of the adjacency matrix structure, the output of the adjacency matrix. The above undirected graph adjacency matrix into adjacency list structure, the output of the adjacency list according to the adjacency table undirected graph depth-first traversal sequence and breadth-first traversal sequence, and outputs through the results using prim algorithm construct the weighted undirected graph minimum spanning tree, and the minimum spanning tree information on respective sides of the output.)
    2020-12-13 15:29:15下载
    积分：1
  • giftExampleRegistration
    数据同化框架下基于差分进化的遥感图像融合算法(Data assimilation framework based on differential evolution algorithm for remote sensing image fusion)
    2011-04-22 11:36:01下载
    积分：1
  • katsevich
    螺旋轨迹重建的一种实现方法，是解析算法的典型案例(An implementation method of spiral trajectory reconstruction is an analytical algorithm)
    2021-04-20 17:28:50下载
    积分：1
  • vc++ 数字图象 处理
    vc++ 数字图象处理 很好用我看了以后收益非浅希望大家喜欢(vc digital image processing with very good after I read greatly benefit hope you like)
    2020-06-26 09:00:01下载
    积分：1
  • demo
    源码包括了常用的图像处理方法，代码详细，适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)
    2013-07-12 21:31:55下载
    积分：1
  • InversePerspectiveMapping
    对输入的图像帧感兴趣区域进行逆透视投影变换，得到俯视图。(The input of the image frame of interest in the area of the inverse perspective projection transform, get a top view. InversePerspectiveMapping)
    2016-12-04 21:31:56下载
    积分：1
  • sar
    SAR成像算法的分析； SAR成傢算法简要介绍 ；Chirp-scaling算法 ； 分布式小卫星SAR解方位多普勒模糊的点目标仿真； 分布式小卫星SAR成像的仿真参数 ； 点目标成像仿真及结果 (SAR imaging algorithm analysis SAR algorithm married briefly Chirp-scaling algorithm distributed small satellite SAR azimuth Doppler ambiguity solution point target simulation distributed small satellite SAR imaging simulation parameters Point Target Imaging Simulation and results)
    2010-07-07 14:07:57下载
    积分：1
  • hedongjian
    彩色位图转黑白位图代码。何东健《数字图像处理》随书光盘提供的源码。(color bitmap to black-and-white bitmap code. Dong- Jian "Digital Image Processing" With the CD source.)
    2006-11-02 10:13:04下载
    积分：1
  • mi_registration
    2维的基于互信息的图像配准算法，使用powell法作为优化算法(2-dimensional mutual information based image registration algorithms, the use of law as the optimization algorithm powell)
    2020-06-30 10:20:01下载
    积分：1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载

热门标签

Visual C++ matlab C/C++ Java Others Unix_Linux EasyLanguage易语言 Visual Basic C# PDF C++ Delphi VHDL ASP WINDOWS
热门下载

Copyright© 2019-2026 | Powered by Imdn | 浙ICP备16007336号 | IMDN交流 | 联系客服（QQ：3324461878）

本网站资源收集自网络及网站用户上传，若有侵权请邮件至（3324461878@qq.com），核实后我们会在24小时内删除，谢谢！