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本程序是利用最大类间方差算法求解自适应阈值，对图像进行分割,非动态阈值,This procedure is the use of maximum between-cluster variance adaptive thresholding algorithm for image segmentation, non-dynamic threshold
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计算图像的均方差 绝对误差 以及自熵或自信息量的函数 ,Calculating the image mean absolute error variance, as well as the amount of information from the entropy of a function or self
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利用matlab计算图像的辐射精度（包含均值、方差、偏斜度和陡度）和信息量。-Calculation of the radiation image using matlab precision (including mean, variance, skewness and steepness), and the amount of information.
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图像融合的评价程序，包括熵、方差等评价指标。用MATLAB编写-Image fusion evaluation procedures, including the entropy, variance and other assessment indices. Prepared using MATLAB
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经典的最大似然法分类法的C语言实现，有助于深入了解遥感分类原理。-This program implements the maximum likelihood classification procedure. ouput:1.classified image, and 2. probability file.
Note: For constructong variance-covariance matrix must be generic binary file.
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利用最大类间方差法(OTSU)求出对图像进行二值化处理的最佳阈值，从而进行图像二值化处理。
-Using the maximum between-class variance method (OTSU) obtained image binarization best treatment threshold, and thus image binarization treatment.
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一些关于图像阈值确定的matlab程序，包括迭代阈值，最小类内方差，最大熵，和用matlab库函数对图像进行边缘检测。可运行-Number of image thresholding matlab identified procedures, including iterative threshold, the smallest category of variance, maximum entropy, and the use of matlab library function of the
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对于一些图像来说，常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题，有两种解决方法：将图像方差标准化，拉大模糊边缘的梯度值，或通过设置sigmoid函数，将像素所在区域的信息传递到梯度值中去，对其进行调整，就能找到合适阈值，有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。-For some images, the commonly used edge detection algorithm sometimes can not
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自己编写的图像质量评价函数，包括方差、平均梯度、模糊熵、信息熵-I have written the image quality evaluation function, including the variance, with an average gradient, fuzzy entropy, information entropy
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基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification
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关于信息隐藏的matlab源代码 以及相关系数的检测-Information hidden on the matlab source code
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计算图像的均值和方差函数，matlab编写的，可以添加到自己的图像处理中-Calculated the mean and variance of the image function, matlab prepared, can be added to their own image processing
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图像峰度偏度函数，函数的变量里需要指明平均值和方差-Image kurtosis skewness function, the function of the variable need to specify the mean and variance
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读取二维图像 彩图变灰白图像 对图像进行均值 方差 fft变换等计算-Read two-dimensional image change color pictures to gray images of the image transformation such as calculation of mean-variance fft
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图像配准，首先实现了简单的图像预处理，然后根据两种不同的配准准则，互信息和边交互方差作图像配准-Image registration, first of all to achieve a simple image pre-processing, and then two different registration criteria, mutual information and edge interaction variance for image registration
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用total variance（TV）算法对图像进行去噪，具体参数代码里有-With the total variance (TV) image denoising algorithm, the specific parameters in the code there
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matlab，图像分割，最大类间方差（OSTU）-matlab, image segmentation, the largest class variance (OSTU)
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带通滤波器（Butterworth、椭圆、窗函数），采样率fs＝2000Hz, 通带范围为300 -600Hz，阶数自选, 画出频率响应并分析比较，
对cameraman.tif图像分别添加椒盐噪声（密度为0.03）和高斯白噪声（均值为0，方差为0.02）的图像，利用三种方法进行去噪，显示原始图像、加噪图像和去噪图像并对实验结果进行分析(Band pass filter (Butterworth, ellipse, window function), sampling rate FS = 20
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J = imnoise(I,'localvar',IMAGE_INTENSITY,VAR) adds zero-mean, Gaussian
noise to an image, I, where the local variance of the noise is a
function of the image intensity values in I. IMAGE_INTENSITY and VAR
are vectors of the same size, and P
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adds zero-mean, Gaussian noise to an image, I, where the local variance of the noise is a
function of the image intensity values in I. IMAGE_INTENSITY and VAR
are vectors of the same size, and PLOT(IMAGE_INTENSITY,VAR) plots the
functional
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