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ImageMatch

于 2012-10-10 发布 文件大小:29860KB
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代码说明：

  一个师兄编写的图像配准程序，其中sift代码匹配以及错误点检测值得参考学习。(A brother write image registration procedures, which sift code matches the reference point of error detection is worth learning.)

文件列表：

高师兄ImageMatch
................\htm" target=_blank>1,60837,2011-06-08
................\BCMenu.cpp,90758,2011-06-08
................\BCMenu.h,16449,2011-06-08
................\CameraParameterDlg.cpp,1465,2011-06-08
................\CameraParameterDlg.h,1435,2011-06-08
................\ColorButton.cpp,13613,2011-06-08
................\ColorButton.h,6748,2011-06-08
................\ColourPopup.cpp,30204,2011-06-08
................\ColourPopup.h,4448,2011-06-08
................\CoolTabCtrl.cpp,13906,2011-06-08
................\CoolTabCtrl.h,3455,2011-06-08
................\DataDefinition.h,72,2011-06-08
................\Debug
................\.....\BCMenu.obj,321626,2011-06-08
................\.....\BCMenu.sbr,0,2011-06-08
................\.....\CameraParameterDlg.obj,25887,2011-06-08
................\.....\CameraParameterDlg.sbr,0,2011-06-08
................\.....\CL.read.1.tlog,801106,2011-06-08
................\.....\CL.write.1.tlog,14118,2011-06-08
................\.....\ColorButton.obj,48623,2011-06-08
................\.....\ColorButton.sbr,0,2011-06-08
................\.....\ColourPopup.obj,77100,2011-06-08
................\.....\ColourPopup.sbr,0,2011-06-08
................\.....\CoolTabCtrl.obj,78022,2011-06-08
................\.....\CoolTabCtrl.sbr,0,2011-06-08
................\.....\FlatSplitterWnd.obj,37018,2011-06-08
................\.....\FlatSplitterWnd.sbr,0,2011-06-08
................\.....\ImageMatch.bsc,6128640,2011-06-08
................\.....\ImageMatch.Build.CppClean.log,2894,2011-06-08
................\.....\ImageMatch.exe,544845,2011-06-08
................\.....\ImageMatch.exp,5339,2011-06-08
................\.....\ImageMatch.ilk,1207756,2011-06-08
................\.....\ImageMatch.lastbuildstate,57,2011-06-08
................\.....\ImageMatch.lib,9862,2011-06-08
................\.....\ImageMatch.log,8787,2011-06-08
................\.....\ImageMatch.obj,42088,2011-06-08
................\.....\ImageMatch.pch,9121224,2011-06-08
................\.....\ImageMatch.pdb,1123328,2011-06-08
................\.....\ImageMatch.res,29140,2011-06-08
................\.....\ImageMatch.sbr,0,2011-06-08
................\.....\ImageMatch.unsuccessfulbuild,0,2011-06-08
................\.....\ImageMatchDoc.obj,29973,2011-06-08
................\.....\ImageMatchDoc.sbr,0,2011-06-08
................\.....\ImageMatchView.obj,34971,2011-06-08
................\.....\ImageMatchView.sbr,0,2011-06-08
................\.....\ImageView.obj,77012,2011-06-08
................\.....\ImageView.sbr,0,2011-06-08
................\.....\kdtree.obj,40475,2011-06-08
................\.....\kdtree.sbr,0,2011-06-08
................\.....\MainFrm.obj,117606,2011-06-08
................\.....\MainFrm.sbr,0,2011-06-08
................\.....\Matrix.obj,108685,2011-06-08
................\.....\Matrix.sbr,0,2011-06-08
................\.....\matrixc.obj,24015,2011-06-08
................\.....\matrixc.sbr,0,2011-06-08
................\.....\Ransac.obj,131979,2011-06-08
................\.....\Ransac.sbr,0,2011-06-08
................\.....\ReadOnlyEdit.obj,28679,2011-06-08
................\.....\ReadOnlyEdit.sbr,0,2011-06-08
................\.....\ReletiveOrientation.obj,38408,2011-06-08
................\.....\ReletiveOrientation.sbr,0,2011-06-08
................\.....\scbarg.obj,49026,2011-06-08
................\.....\scbarg.sbr,0,2011-06-08
................\.....\SearchDlg.obj,28639,2011-06-08
................\.....\SearchDlg.sbr,0,2011-06-08
................\.....\SettingDlg.obj,34272,2011-06-08
................\.....\SettingDlg.sbr,0,2011-06-08
................\.....\sift.obj,75654,2011-06-08
................\.....\sift.sbr,0,2011-06-08
................\.....\sizecbar.obj,100086,2011-06-08
................\.....\sizecbar.sbr,0,2011-06-08
................\.....\SplitFrame.obj,41674,2011-06-08
................\.....\SplitFrame.sbr,0,2011-06-08
................\.....\StdAfx.obj,110669,2011-06-08
................\.....\StdAfx.sbr,1542813,2011-06-08
................\.....\vc100.idb,1698816,2011-06-08
................\.....\vc100.pdb,2691072,2011-06-08
................\.....\vc60.idb,435200,2012-04-16
................\.....\vc60.pdb,520192,2011-06-08
................\FlatSplitterWnd.cpp,8968,2011-06-08
................\FlatSplitterWnd.h,1622,2011-06-08
................\ImageMatch.aps,55580,2012-03-29
................\ImageMatch.clw,6310,2012-04-16
................\ImageMatch.cpp,4676,2011-06-08
................\ImageMatch.dsp,8144,2011-06-08
................\ImageMatch.dsw,545,2011-06-08
................\ImageMatch.h,1400,2011-06-08
................\ImageMatch.ncb,959488,2012-04-16
................\ImageMatch.opt,64000,2012-04-16
................\ImageMatch.plg,254,2012-04-16
................\ImageMatch.rc,17690,2011-06-08
................\ImageMatch.sdf,61427712,2011-06-08
................\ImageMatch.sln,886,2011-06-08
................\ImageMatch.vcxproj,11149,2011-06-08
................\ImageMatch.vcxproj.filters,7560,2011-06-08
................\ImageMatch.vcxproj.user,143,2011-06-08
................\ImageMatchDoc.cpp,1822,2011-06-08
................\ImageMatchDoc.h,1519,2011-06-08
................\ImageMatchView.cpp,2699,2011-06-08

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    2011-11-21 16:26:02下载
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    2012-12-01 15:56:14下载
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    根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)
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