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cv阈值去噪方法和贝叶斯阈值去噪方法，这两种方法是很常见的阈值去噪方法。-cv thresholding method and the Bayesian thresholding methods, the two approaches are very common thresholding methods.
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使用二维双密度小波2-D Double-Density DWT Thresholding Method，决定图像滤波门限值，实现图像去噪处理。-use of two-dimensional density Wavelet 2-D Double-Density DWT Thresho lding Method, the decision threshold image filtering, image denoising.
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Compute 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 Trans. Syst. Man Cybern. 9:62-66 1979).
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otsu s multilevel thresholding method
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gray gradient co-occurrence matrix thresholding method
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two dimensional entropy based thresholding method
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基于opencv2.2的大津法分割，大津法是一种自适应的阈值分割方法，应用较广，按灰度特性，将图像分为背景和目标两部分，是二值化的图像。本代码需要先行安装opencv2.2-The Otsu method based opencv2.2 split, Otsu method is an adaptive thresholding method, used widely, according to the gray-scale features, the image is divided into
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图像二值化算法：Otsu算法，Kittler minimum error thresholding算法，Niblack二值化算法。都是很经典的二值化算法，可用于对图像进行二值化，我自己编写的并经过测试正确。附件中有算法使用说明。-Image binarization algorithm: Otsu method, Kittler minimum error thresholding method, and Niblack method. All these methods are classic
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压缩包包括大津法和迭代法阈值分割，大津法是使得类间方差最大，得到目标的阈值。-Compressed packet including the method and iterative Otsu thresholding method, Otsu method is to make the maximum between-class variance, the threshold target.
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本程序说明的是直方图阈值的双峰法，是于阈值选取的图像分割方法-This procedure is described in the bimodal histogram thresholding method is in the threshold selection method for image segmentation
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基于fisher准则的阈值分割方法,陈果文章中的方法-thresholding method based on fisher algorithm,
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利用二维属性直方图的Otsu自动阈值分割方法 提出了二维属性直方图的概念 ,进而提出了一种基于二维属性直方图的图像自动阈值化方法 有利于写论文-Attributes the use of two-dimensional histogram of the Otsu threshold segmentation method automatically put forward the concept of two-dimensional histogram properties, and then
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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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利用图像熵进行自动阈值分割的方法，简单，速度快-The use of entropy for automatic image thresholding method
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改良otsu自適應閾值分割法，值得初學者參考-Improved otsu adaptive thresholding method, it is worth beginners reference
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通过matlab源码实现图像的最佳自动阈值分割，所选算法是常见的大津法-Matlab source code through the realization of the best automatic image thresholding, the selected algorithm is a common method of Otsu
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用迭代法进行阈值分割的源代码，可以实现，希望对大家有所帮助。-Iterative thresholding method source code, you can achieve, we want to help.
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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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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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脑电信号的小波软阈值处理，小波硬阈值处理和一种新的小波阈值处理。-Wavelet soft thresholding EEG, wavelet thresholding and hard A new wavelet thresholding.
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