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1下载：
基于mean shift的阈值分割matlab代码，先借助Mean Shift算法的分割特性将灰度值相近的元素进行聚类，然后，在此基础上应用阈值分割算法，达到将图像与背景分离的目的。-Threshold based on mean shift segmentation matlab code, the first split with the Mean Shift algorithm similar to the gray value characteristics of the element
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基于MATLAB-GUI图形界面的数字图像处理软件 本系统设计基于GUI图形界面，用matlab语言编写代码，实现功能包括图象的读取、存储、显示、直方图均衡化、阈值化、小波分解、小波重构、加噪、去噪、平滑、锐化、边缘检测、图像分割等-MATLAB-GUI graphical user interface based on digital image processing software of the system design is based on GUI graphical interfa
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大津站直的阈值化算法，用MATLAB实现，目前较好的阈值化算法-Stand straight Otsu s thresholding algorithm, using MATLAB to achieve, the current threshold of a better algorithm
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OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE
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程序代码说明
P0401：用Prewitt算子检测图像的边缘
P0402：用不同σ值的LoG算子检测图像的边缘
P0403：用Canny算子检测图像的边缘
P0404：图像的阈值分割
P0405：用水线阈值法分割图像
P0406：对矩阵进行四叉树分解
P0407：将图像分为文字和非文字的两个类别
P0408：形态学梯度检测二值图像的边缘
P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象
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基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理。-Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixe
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基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理 -Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixe
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waili小波算法包，在windows下编译通过的lib-Uses integer wavelet transforms based on the lifting Scheme
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Provides various wavelet transforms of the Cohen-Daubechies-Feauveau family of biorthogonal
wavelets
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Provides crop and merge operations on wavelet-
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This code is for otsu thresholding concept. It is developed for blackfin 561 processor using Visual DSP 5.0
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用matlab实现的otsu全局二值化算法、kittler 最小分类错误(minimum error thresholding)全局二值化算法、niblack局部二值化算法-Using matlab implementation otsu global binarization algorithm, kittler minimum classification error (minimum error thresholding) the global binarization algorithm
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利用opencv library來實現thresholding效果-demo thresholding by using opencv
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MATLAB下小波变换的原理教程及示例 包括：一维线性非线性近似、二维线性非线性近似、使用线性滤波过滤噪声、使用小波门限消除噪声、使用小波变换压缩一维信号、二维小波图像压缩等等。-MATLAB wavelet transform under the principle of tutorials and examples include: one-dimensional linear non-linear approximation, two-dimensional linear non-line
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小波分析去噪实例，这幅图像采用小波分解系数阈值量化方法进行去噪处理-Wavelet analysis examples, this image using wavelet coefficients thresholding denoising method
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阈值分割是图像分割的常用方法,本程序用迭代法选取最优阈值对图像进行分割-Thresholding is a common method of image segmentation, the iterative selection procedure using the optimal threshold for image segmentation
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color image thresholding using mathematical methods like PCA
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Bradley, D., Roth, G., June 2007
We present a technique for real-time adaptive thresholding
using the integral image of the input. Our technique is an extension of a previous method. However, our solution
is more robust to illumination changes
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Image thresholding using delphi.
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DETECTION THRESHOLDING USING MUTUAL INFORMATION,
a novel non-parametric thresholding method that we term Mutual-Information
Thresholding. In our approach, we choose the two detection thresholds for two input signals such that the
mutual informa
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SSM: Slot Scheduling Mechanisms in a Multihop Wireless Hotspot Network
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fuzzy thresholding using matlab
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