文件名称:bianyuanjiance

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bmp格式文件和六种常用图像增强算法作出了研究,文中详细论述了数字图像增强技术中涉及到的图像平滑、中值滤波、梯度锐化、拉普拉斯锐化、灰度拉伸和灰度均衡各基本算法及其在Visual C++ 6.0下的具体实现,列出了各图像增强基本算法所涉及的关键源代码,同时,在每种图像算法中都分别给出了一幅标准的数字图像在各种处理前与处理后的对照图像。

-bmp format, and six kinds of commonly used image enhancement algorithm to the study, this paper discusses in detail the digital image enhancement techniques involved in image smoothing, median filtering, sharpening the gradient, Laplacian sharpening, gray, and gray-scale stretch balance the basic algorithm and its application in Visual C++ 6.0 under the concrete implementation, sets out the basic algorithm of image enhancement involving the critical source code, while both algorithms in each image were given a standard digital image before and after treatment for dealing with the control image.
相关搜索: 图像平滑
c++

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下载文件列表

拉普拉斯锐化(边缘检测)\拉普拉斯锐化(边缘检测)\测试图片\原始lena图像.bmp

........................\........................\........\经拉普拉斯锐化之后.bmp

........................\........................\源代码\dibapi.cpp

........................\........................\......\dibapi.h

........................\........................\......\MainFrm.cpp

........................\........................\......\MainFrm.h

........................\........................\......\mydib.cpp

........................\........................\......\mydib.h

........................\........................\......\MyDIP.aps

........................\........................\......\MyDIP.clw

........................\........................\......\MyDIP.cpp

........................\........................\......\MyDIP.dsp

........................\........................\......\MyDIP.dsw

........................\........................\......\MyDIP.h

........................\........................\......\MyDIP.rc

........................\........................\......\MyDIPDoc.cpp

........................\........................\......\MyDIPDoc.h

........................\........................\......\MyDIPView.cpp

........................\........................\......\MyDIPView.h

........................\........................\......\ReadMe.txt

........................\........................\......\..lease\MyDIP.exe

........................\........................\......\res\MyDIP.ico

........................\........................\......\...\MyDIP.rc2

........................\........................\......\...\MyDIPDoc.ico

........................\........................\......\...\Toolbar.bmp

........................\........................\......\Resource.h

........................\........................\......\StdAfx.cpp

........................\........................\......\StdAfx.h

........................\测试图片\原始lena图像.bmp

........................\........\经拉普拉斯锐化之后.bmp

........................\源代码\dibapi.cpp

........................\......\dibapi.h

........................\......\MainFrm.cpp

........................\......\MainFrm.h

........................\......\mydib.cpp

........................\......\mydib.h

........................\......\MyDIP.aps

........................\......\MyDIP.clw

........................\......\MyDIP.cpp

........................\......\MyDIP.dsp

........................\......\MyDIP.dsw

........................\......\MyDIP.h

........................\......\MyDIP.rc

........................\......\MyDIPDoc.cpp

........................\......\MyDIPDoc.h

........................\......\MyDIPView.cpp

........................\......\MyDIPView.h

........................\......\ReadMe.txt

........................\......\..lease\MyDIP.exe

........................\......\res\MyDIP.ico

........................\......\...\MyDIP.rc2

........................\......\...\MyDIPDoc.ico

........................\......\...\Toolbar.bmp

........................\......\Resource.h

........................\......\StdAfx.cpp

........................\......\StdAfx.h

........................\拉普拉斯锐化(边缘检测)\源代码\Release

........................\........................\......\res

........................\........................\测试图片

........................\........................\源代码

........................\源代码\Release

........................\......\res

........................\拉普拉斯锐化(边缘检测)

........................\测试图片

........................\源代码

拉普拉斯锐化(边缘检测)

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