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MRF_imgSeg

于 2021-03-18 发布
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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

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发表评论

0 个回复

  • 002
    指纹图像因设备、图像增强处理等原因造成的纹线断裂会产生伪特征点,会对指纹识别产生负面影响。在结 合传统方法优点的同时,针对间距大、方向偏移小和间距大、方向偏移大的断裂情况,本文设计出窗口制约法和改进的 窗口制约法2 种不同的修复方法。实验结果表明,该方法使修复更加全面、完整,提高了伪特征点去除率,易于编程实 现,对细化指纹图像的断裂有很好的修复效果。(The broken ridge fingerprint image processing equipment, image enhancement and other causes will generate pseudo-feature points to be a negative impact on fingerprint identification. While combining the traditional method has the advantage, for the spacing, direction offset small spacing, direction offset large fracture situation, this design window constraints window method and the improved two kinds of constraints, different repair methods. Experimental results show the method to fix a more comprehensive and complete removal of pseudo-feature points, easy to program, well thinned fingerprint image fracture repair.)
    2013-03-17 22:06:01下载
    积分:1
  • ss2005.11.29
    主要用于打开8位、24位BMP图像,并对其进行相应的处理,如:颜色分量提取,检测等(key to open the eight, 24 BMP images, and its corresponding treatment, such as : color component extraction, testing)
    2007-05-16 10:40:59下载
    积分:1
  • Human-target-tracking
    运动检测 检测人体的头部位置、整体位置、滤除影子(Motion detection detect the body and head position, the overall position of the shadow filter)
    2011-10-13 19:59:00下载
    积分:1
  • MARK_Dehaze
    2009年CVPR最佳论文《Single image haze removal using dark channel prior》暗原色图像去雾的算法实现。与原文不同的是本程序没有完成最后matting细化效果的部分,但仍能够达到视觉上可以接受的去雾效果。计算机视觉课程作业。工程运行于VS2008环境,需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。(CVPR 2009 Best Paper " Single image haze removal using dark channel prior" to the dark fog of the primary image algorithm. The difference is that with the original program did not complete the final matting refinement part,yet haze-removal result is visually acceptable. Visual course work. This project runs under VS2008 with OpenCV. Double click the exe file under Debug folder to check the final result.)
    2011-08-10 16:46:35下载
    积分:1
  • Fngprnt
    采用最大方差阈值分割法,对指纹进行提取。(Using the maximum variance threshold segmentation method for fingerprint extraction.)
    2013-11-24 20:39:58下载
    积分:1
  • fuse
    基于肤色的图像分割,是用matlab实现的,希望大家有用(Image segmentation based on skin color is achieved with matlab, I hope it would be useful)
    2011-06-08 21:21:50下载
    积分:1
  • Qt_Opengl
    基本图元绘制、计算机图形学上机实验报告、1,熟悉图形软件开发工具:VC++, OpenGL等; 2,设计、实现线段的DDA、Bresenham算法 3,设计、实现中点圆、中点椭圆生成算法; 4,设计、实现填充图元生成算法;(The basic primitive computer graphics, computer lab report 1, familiar with the graphics software development tools: vc++, OpenGL, etc. 2, design implementation DDA Bresenham algorithm of line 3, midpoint circle midpoint elliptical generation algorithm design implementation 4, primitive design to realize filling generation algorithm)
    2020-09-10 13:08:00下载
    积分:1
  • Watershed-16
    分水岭算法的实现,能自动对图像进行分割,任何图像都能够读取(Watershed algorithm, can automatically split the image)
    2010-07-19 15:33:21下载
    积分:1
  • live-wire_contour_version_matlab
    自己写的matlab版的live-wire算法,效率有点低,不过可用(Written in Matlab version, the live-wire algorithm, a bit low, but available)
    2012-04-24 09:10:27下载
    积分:1
  • source
    数字图像处理,C语言,功能是打开一幅位图,实现几何变换。(Digital image processing, C language function is to open a bitmap, to achieve geometric transform.)
    2010-01-12 15:05:48下载
    积分:1
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