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文件名称:ImageRough_FullPackage

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  • 上传时间:
    2016-09-01
  • 文件大小:
    14.59mb
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we peresent full pakage of the methods that apply rough set theory in the

context of segmentation (or partitioning) of multichannel medical imaging

data. We put this approach into a semi-automatic framework, where

the user specifies the classes in the data by selecting respective regions in

2D slices. Rough set theory provides means to compute lower and upper

approximation of the classes. The boundary region between the lower

and the upper approximations represents the uncertainty of the classification.

We present an approach to automatically compute segmentation

rules the rough set classification using a k-means approach.-we peresent full pakage of the methods that apply rough set theory in the

context of segmentation (or partitioning) of multichannel medical imaging

data. We put this approach into a semi-automatic framework, where

the user specifies the classes in the data by selecting respective regions in

2D slices. Rough set theory provides means to compute lower and upper

approximation of the classes. The boundary region between the lower

and the upper approximations represents the uncertainty of the classification.

We present an approach to automatically compute segmentation

rules the rough set classification using a k-means approach.
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下载文件列表

ImageRough_FullPackage/CC.ppm
ImageRough_FullPackage/Classes/Class0.png
ImageRough_FullPackage/Classes/Class1.png
ImageRough_FullPackage/Classes/Class10.png
ImageRough_FullPackage/Classes/Class11.png
ImageRough_FullPackage/Classes/Class12.png
ImageRough_FullPackage/Classes/Class13.png
ImageRough_FullPackage/Classes/Class14.png
ImageRough_FullPackage/Classes/Class15.png
ImageRough_FullPackage/Classes/Class2.png
ImageRough_FullPackage/Classes/Class3.png
ImageRough_FullPackage/Classes/Class4.png
ImageRough_FullPackage/Classes/Class5.png
ImageRough_FullPackage/Classes/Class6.png
ImageRough_FullPackage/Classes/Class7.png
ImageRough_FullPackage/Classes/Class8.png
ImageRough_FullPackage/Classes/Class9.png
ImageRough_FullPackage/Classes/kmeans.png
ImageRough_FullPackage/Classes/New Folder/Class0.png
ImageRough_FullPackage/Classes/New Folder/Class1.png
ImageRough_FullPackage/Classes/New Folder/Class10.png
ImageRough_FullPackage/Classes/New Folder/Class11.png
ImageRough_FullPackage/Classes/New Folder/Class12.png
ImageRough_FullPackage/Classes/New Folder/Class13.png
ImageRough_FullPackage/Classes/New Folder/Class14.png
ImageRough_FullPackage/Classes/New Folder/Class15.png
ImageRough_FullPackage/Classes/New Folder/Class2.png
ImageRough_FullPackage/Classes/New Folder/Class3.png
ImageRough_FullPackage/Classes/New Folder/Class4.png
ImageRough_FullPackage/Classes/New Folder/Class5.png
ImageRough_FullPackage/Classes/New Folder/Class6.png
ImageRough_FullPackage/Classes/New Folder/Class7.png
ImageRough_FullPackage/Classes/New Folder/Class8.png
ImageRough_FullPackage/Classes/New Folder/Class9.png
ImageRough_FullPackage/Classes/New Folder/kmeans.png
ImageRough_FullPackage/Classes/New Folder/rough.png
ImageRough_FullPackage/Classes/ppm/Class5.ppm
ImageRough_FullPackage/Classes/ppm/Class6.ppm
ImageRough_FullPackage/Classes/rough.png
ImageRough_FullPackage/iconFile.qrc
ImageRough_FullPackage/images/0-classify.png
ImageRough_FullPackage/images/addtab.png
ImageRough_FullPackage/images/classify.png
ImageRough_FullPackage/images/clear.png
ImageRough_FullPackage/images/Clear_Text.png
ImageRough_FullPackage/images/closetab.png
ImageRough_FullPackage/images/copy.png
ImageRough_FullPackage/images/cut.png
ImageRough_FullPackage/images/editcopy.png
ImageRough_FullPackage/images/find.png
ImageRough_FullPackage/images/home.png
ImageRough_FullPackage/images/input.png
ImageRough_FullPackage/images/new.png
ImageRough_FullPackage/images/next.png
ImageRough_FullPackage/images/open.png
ImageRough_FullPackage/images/openRaw.png
ImageRough_FullPackage/images/paste.png
ImageRough_FullPackage/images/previous.png
ImageRough_FullPackage/images/print.png
ImageRough_FullPackage/images/resetzoom.png
ImageRough_FullPackage/images/Save.png
ImageRough_FullPackage/images/select.png
ImageRough_FullPackage/images/slect.png
ImageRough_FullPackage/images/synctoc.png
ImageRough_FullPackage/images/undo.png
ImageRough_FullPackage/images/zoomin.png
ImageRough_FullPackage/images/zoomout.png
ImageRough_FullPackage/image_klassifier
ImageRough_FullPackage/image_klassifier.pro
ImageRough_FullPackage/image_klassifier.pro.user
ImageRough_FullPackage/input0.raw
ImageRough_FullPackage/K-Means_data.txt
ImageRough_FullPackage/L.txt
ImageRough_FullPackage/main.cpp
ImageRough_FullPackage/main.o
ImageRough_FullPackage/mainwindow.cpp
ImageRough_FullPackage/mainwindow.h
ImageRough_FullPackage/mainwindow.o
ImageRough_FullPackage/mainwindow.ui
ImageRough_FullPackage/Makefile
ImageRough_FullPackage/moc_mainwindow.cpp
ImageRough_FullPackage/moc_mainwindow.o
ImageRough_FullPackage/noise100A.ppm
ImageRough_FullPackage/qrc_iconFile.cpp
ImageRough_FullPackage/qrc_iconFile.o
ImageRough_FullPackage/Rough_data.txt
ImageRough_FullPackage/Rough_data.txt~
ImageRough_FullPackage/Sample.ppm
ImageRough_FullPackage/t2n100.ppm
ImageRough_FullPackage/t2n60.ppm
ImageRough_FullPackage/t2n80.ppm
ImageRough_FullPackage/tt.ppm
ImageRough_FullPackage/U.txt
ImageRough_FullPackage/U.txt~
ImageRough_FullPackage/ui_mainwindow.h
ImageRough_FullPackage/Classes/New Folder
ImageRough_FullPackage/Classes/ppm
ImageRough_FullPackage/Classes
ImageRough_FullPackage/images
ImageRough_FullPackage

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