文件名称:Mathematical-Morphology

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针对图像滤波消噪的同时把图像中一些重要的细节特征消去这个问题,阐述了二值形态学和灰度形态学的基本运算,同时讨论了数学形态学的结构元素选取及其在图像滤波中的作用,提出了基于数学形态学的二值图像和灰度图像滤波方法,并且通过实验验证了其在图像滤波中的有效性.-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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