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OTSU 算法可以说是自适应计算单阈值（用来转换灰度图像为二值图像）的简单高效方法,OTSU algorithm Adaptive Computing can be said to be a single threshold (used to convert grayscale image to binary image) is simple and efficient method
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Implementation Of Labeling Connected Components
用C#实现图像的连通区域标定，可选4连通，8连通-Implementation Of Labeling Connected Components
The algorithm is coded in C# using unsafe so the quality and speed of the program may not be affected. The class BitmapData i
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ostu自适应计算单阈值（用来转换灰度图像为二值图像）的简单高效方法.-ostu Adaptive Computing single threshold (used to convert the gray image to binary image) is simple and efficient method.
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we use GUIDE to creat a GUI in which we load two images ,convert to binary images and calculates the percentage match.This is gud for studying image procssing for beginners.
i think this coudl be modified better and hardware interfaced for clinic
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将彩色图像转换成灰度图像的程序，也可以转换成二值图像。-Color images will be converted into gray-scale image of the procedure can also be converted into binary image.
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读取一张图片，将其转换为灰度图像之后再转换为二值图像-Read a picture, convert it to grayscale image then to the binary image
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图像处理的几个实例程序，包括图像格式转换：将索引图像转换为二进制图像，灰度图像等-some examples on image processing including imageformat-convert Index image to binary images, grayscale images and so on
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Untitled1.m和Untitled2.m文件是利用imfilt和fspecial函数对图像作锐化处理。
Untitled3.m是利用edge函数对图像进行锐化处理。-
hua.m file is the picture "Untitled1.m and Untitled2.m file using imfilt and fspecial functions for image sharpening.
Untitled3.m is the use of edge function
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