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国外全新方法实现二值化This fucntion convert an intensity image to a binary image by using Entropy-based method
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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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it is a image processing project which can find special and certain object with certain shapes in the images. it obtain the P and S for each object and compare P/S ratio to template image and object.
Sobel use for P and finding edges and Labeling a
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The following codes a)convert an 8-grey scale image to a binary. b) convert a 24-bit colour image to its red channel image c)convert an 8-bit colour image to a grey-scale iamge.
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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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OTSU方法计算图像二值化的自适应阈值，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。下面的代码最早由 Ryan Dibble提供，此后经过多人Joerg.Schulenburg, R.Z.Liu 等修改，补正。算法对输入的灰度图像的直方图进行分析，将直方图分成两个部分，使得两部分之间的距离最大。划分点就是求得的阈值。都是老外写的，经典哦。-OTSU method of adaptive image binarization threshold, OTSU
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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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图形图像处理，可以用来进行二值图像转换并显示效果，效果一般吧 ， 基础性的matlab学习例子
-Graphics, image processing, can be used to convert binary image display, the general effect of it, basic matlab learning examples
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Opencv 通过形态学操作实现图像边缘。
首先将图像转换为二值图像，然后膨胀此二值图像，最后减去未膨胀之前的图像便得到了图像的边缘。-Opencv realize the image edge by morphological operations.
First, convert the image to a binary image, and then expanded this binary image, the last image before subtracting the
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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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使用阈值操作将图像转换为二进制图像，查找对象的个数，伪彩色图像中标记矩阵的每一个对象都被映射为相关色调中的不同颜色-Convert image to binary image using threshold operation, find the number of objects, pseudo color image tag in matrix of each object is mapped for related tone of different colors
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生成背景图，以表面图形式显示的背景，使用阈值操作将图像转换为二进制图像-Generation background, in the form of surface display background, using threshold operation convert image to binary image
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