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Mathematical-Morphology

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  • Update : 2016-11-24
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In view of the problem that image filter removes the noise and unfortunately eliminates the important details, this paper formulates the basic operations of the binary morphology and grayscale morphology, and then discusses the choice on the structure elements of mathematical morphology and the effects on the image filtering. In addition, we proposed the method of binary image filter and gray image filter with the help of the mathematical morphology. What is more, we do more experiment to verify the effectiveness in the image noise removal.
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数学形态学滤波\Debug\图像增强.exe
..............\.....\图像增强.ilk
..............\.....\图像增强.pdb
..............\ipch\图像增强-28c758a5\图像增强-d121131.ipch
..............\图像增强\0.bmp
..............\........\1.bmp
..............\........\1.jpg
..............\........\3.bmp
..............\........\AddNoise.bmp
..............\........\binary.bmp
..............\........\car.bmp
..............\........\cell.bmp
..............\........\Debug\CL.read.1.tlog
..............\........\.....\CL.write.1.tlog
..............\........\.....\link.read.1.tlog
..............\........\.....\link.write.1.tlog
..............\........\.....\mt.read.1.tlog
..............\........\.....\mt.write.1.tlog
..............\........\.....\vc100.idb
..............\........\.....\vc100.pdb
..............\........\.....\vc120.idb
..............\........\.....\vc120.pdb
..............\........\.....\图像增强.Build.CppClean.log
..............\........\.....\图像增强.exe.intermediate.manifest
..............\........\.....\图像增强.lastbuildstate
..............\........\.....\图像增强.log
..............\........\.....\.........tlog\CL.read.1.tlog
..............\........\.....\.............\CL.write.1.tlog
..............\........\.....\.............\link.read.1.tlog
..............\........\.....\.............\link.write.1.tlog
..............\........\.....\.............\图像增强.lastbuildstate
..............\........\.....\源.obj
..............\........\edgeLaplacian.bmp
..............\........\edgeSobel.bmp
..............\........\equalization.bmp
..............\........\equalization1.bmp
..............\........\fcm.bmp
..............\........\fish.bmp
..............\........\gene.bmp
..............\........\grape.bmp
..............\........\GraymorphologyFilter.bmp
..............\........\leaf.bmp
..............\........\linear.bmp
..............\........\linear1.bmp
..............\........\morphologyFilter.bmp
..............\........\number.bmp
..............\........\original.bmp
..............\........\original1.bmp
..............\........\original2.bmp
..............\........\pix.bmp
..............\........\reverseY.bmp
..............\........\reverseY1.bmp
..............\........\salt&pepper.bmp
..............\........\smooth.bmp
..............\........\smooth1.bmp
..............\........\zhiwen.bmp
..............\........\图像增强.vcxproj
..............\........\图像增强.vcxproj.filters
..............\........\图像增强.vcxproj.user
..............\........\开运算.bmp
..............\........\形态学平滑.bmp
..............\........\形态滤波.bmp
..............\........\源.cpp
..............\图像增强.sdf
..............\图像增强.sln
..............\图像增强.suo
..............\图像增强.v12.suo
..............\........\Debug\图像增强.tlog
..............\ipch\图像增强-28c758a5
..............\图像增强\Debug
..............\Debug
..............\ipch
..............\图像增强
数学形态学滤波
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