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最大类间方差法原理
- 最大类间方差法原理：最大类间方差法是由日本学者大津于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2 部分。-Otsu method works: Otsu method by Otsu, Japan scholars put forward in 1979, is an adaptive method of determining the threshold, also known as Otsu method, refer
Imagefusionevaluation
- 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
raylinv-cfar
- 求图像背景的均值和方差，并阈值判别后的图象-Find the mean and variance of the background image, image after the threshold value based
用matlab实现自适应图像阈值分割最大类方差法代码
- 这是一个关于图像自适应阈值分割的方法--最大类方差，这是该方法实现的代码
OTSU
- 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.
edge-directedinterpolation
- 利用vc++实现图像放大，改算法采用基于协方差特征的方法-Use vc++ Image to enlarge, change algorithm based on the covariance characteristics of the method
otsu2
- 大津阈值分割法，也称最大类间方差法，利用图像的灰度分布密度函数定义图像的交叉熵。 交叉熵可看作是两个概率系统（即图像背景及目标）的信息量之间的差异。求出的交叉熵越大，则分割效果越好。 -Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-ent
imagequality
- 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
otsu
- 最大类间方差法，给出了详细的介绍，希望能对大家学习图像处理有帮助-Otsu law, gives a detailed introduction to all of us hope to be helpful to learn image processing
shipin
- 利用改进的ostu即最大类间方差方法进行视频图像二值化-Ostu that the use of improved Otsu method of video image binarization
AStudyoWaveletImgaeCoding
- 通过测量小波变换产生图像的熵、方差、最大值、最小值、平均值及各子图像内小波变换系数间的相关性来确定各子图像应采取的编码策略-Wavelet transform generated by measuring the image entropy, variance, maximum, minimum, average and sub-image with the wavelet transform coefficients of correlation between each sub-image
Imagequalityevaluation
- 包含了主要的图像质量评价的matlab源程序。图像熵，图像的方差和，以及基于边缘检测算子的质量评价函数。-Contains the main image quality evaluation of the matlab source code. Image entropy, variance and images, as well as edge detection operator based on the quality of the evaluation function.
otsu
- 图像的otsu分界算法的实现，不是调用函数的，是底层实现-otsu partition
infraredimagedenoise
- 红外图像自适应降噪处理的的论文。该方法首先将图像分解为R，G，B颜色分量图像，对每幅图像进行小波变换。根据变换后的不同细节子图的小波系数在区域及方向上具有的不同相关性，用不同的窗口对不同细节图像系数的方差进行估计，然后对小波系数进行一种改进的阈值处理，得到结果图像。-An adaptive wavelet denoising algorithm is presented for noise rem oval of pseudo-color infrared images．
Application_of_the_OTSU_Method_Image_Processing.ra
- 最大类间方差法在图像处理中的应用.pdf-Application of the OTSU Method in Image Processing
max_sigma
- 这个程序利用最大类间方差算法求解自适应阈值，来进行图像分割的-The use of this procedure Otsu adaptive threshold algorithm to image segmentation
quyufangcha
- 通过3*3矩阵移动计算图像区域方差反应图像能量 以此比较图像的清晰与否 实现图像融合-3* 3 matrix through mobile computing image image energy in this region compared variance response and clear images for image fusion or
variance
- 实现图像的方差，斜度，峰度，能量和熵的实现，代码简单，可以直接运行-matlab graph variance
图像的分析
- 可显示图像中指定点的坐标值、像素值、图像强度曲线、图像像素强度曲线、等值线、均值、标准差、协方差系数、质心、边界等。(It can display coordinate values, pixel values, image intensity curves, pixel intensity curves, contour lines, mean value, standard deviation, covariance coefficient, centroid, boundary and s
基于最大类间方差阈值与遗传算法的道路分割
- 最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu