登录
首页 » Visual C++ » MRF_imgSeg

MRF_imgSeg

于 2021-03-18 发布
0 355
下载积分: 1 下载次数: 0

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

  • 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
  • GVFVCCODE
    GVF Snake算法的VC源码。GVF是活动轮廓算法Snake的一种改进,能够解决Snake不能够收敛到凹行区域的缺陷(GVF Snake algorithm VC source. GVF active contour algorithm is an improvement Snake, Snake can be resolved can not converge to the concave line defect region)
    2020-06-26 16:40:02下载
    积分:1
  • baxed-twinsport-white
    A control system of the simplex method of PID parameter optimization of MATLAB program, can also
    2017-08-07 21:46:15下载
    积分:1
  • SIFT
    提取SIFT特征,进行特征提取和匹配,包括特征点的定位,特征点描述子的生成,特征点的匹配,(extract SIFT feature,and feature matching)
    2020-12-10 10:49:21下载
    积分:1
  • uged
    换热器模型的MATLAB实现,可用于工程计算,还可以用于教学演示(Heat exchanger model of MATLAB and can be used for engineering calculation, and can also be used for teaching demonstration)
    2017-08-13 06:23:33下载
    积分:1
  • vcphotoboth
    VC++处理图像模糊或柔化的效果示例源程序,类似Photoshop中的图像高斯模糊效果,每点击一次鼠标右键,程序为模糊一次,直到你满意为止。注意程序仅实现了模糊的功能,其它功能比如程序优化和效率方面的考虑还比较少,因此程序运行速度方面可能会欠缺一些(VC++ deal with image blur or soften the effect of sample source code, similar to Photoshop' s image Gaussian Blur effect, each click the right mouse button, the procedures for fuzzy time until you are satisfied. Note that the program is only vague functions, other functions such as process optimization and efficiency considerations is still relatively small, the speed of the program is running may lack some of the)
    2012-06-25 15:06:57下载
    积分:1
  • kmeans
    kmeans算法实现,对图像处理。亲自使用过,可用,供参考。(Kmeans algorithm for image processing.)
    2013-10-17 10:57:41下载
    积分:1
  • C++.netBMP24bitTo8bit
    此程序实现二十四位BMP到八位BMP图像的转换(this program to 24 BMP eight BMP image conversion)
    2007-04-04 15:20:57下载
    积分:1
  • Camdemo
    Camshift算法,即"Continuously Adaptive Mean-Shift"算法,是一种自适应的运动跟踪算法。它主要通过视频图像中运动物体的颜色信息来达到跟踪目的。(Camshift algorithm, namely " Continuously Adaptive Mean-Shift" algorithm is an adaptive motion tracking algorithm. It is primarily the color information of the object' s movement through the video images to achieve tracking purposes.)
    2014-01-11 19:45:29下载
    积分:1
  • 1
    说明:  图像处理的位图操作,256色转为灰度图,图像处理入门源程序(Bitmap image processing operations, 256-color to grayscale, image processing, entry-source)
    2010-06-02 21:11:10下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载