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Histogram-Equalization
- 直方圖等化使用機率分佈, 將原先的亮度分佈重新均勻的等化到新的亮度值-Histogram equalization using probability distributions, and the original brightness distribution re uniform equalization to the new brightness value
wigner_ville
- 从xsl文件中读入数据并计算其wigner_ville分布，内含详细说明。-Xsl file reads from the data and calculates its wigner_ville distribution, containing detailed instructions.
Histogram
- 如果将图像中像素亮度（灰度级）看成是一个随机变量，则其分布情况就反映了图像的统计特性，这可用灰度直方图来刻画和描述-If the pixel brightness (gray level image) is regarded as a random variable, the distribution can reflect the statistical characteristics of image, which can be used to characterize and descri
Histogram-equalization
- 直方图均衡化的基本思想是把原始图的直方图变换为均匀分布的形式，这样就增加了象素灰度值的动态范围从而可达到增强图像整体对比度的效果-The basic idea of histogram equalization is the histogram transform the original graph form for the uniform distribution, so the pixel gray value of the dynamic range is increased so as
stblpdf
- alpha稳定分布噪声的matlab实现-alpha stable distribution noise matlab implementation
AGCWD
- 來自於2012年IEEE TIP的論文 Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution ，其功能為透過分析影像中的直方圖統計資訊，達到快速增強影像對比的結果。-From the 2012 IEEE TIP paper "Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weigh
svm
- SVM平台，操作简单、易于使用的通用SVM 软件包，可以解决分类问题（包括C- SVC、n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ）等问题，提供了线性、多项式、径向基和S 形函数四种常用的核函数供选择。-SVM platform is a simple, easy to use, versatile SVM software package can solve classification problems (including
id
- 将身份证扫描后，对其扫描图像进行处理。利用0-9数字的空间分布特征，结构特征可以识别出数字。-After scanning the identity of its scan image processing. Use of the spatial distribution of 0-9, structural feature can recognize numbers.
ruzonCompass
- 罗盘算子性能超过Canny算子，相比其他算子，它以像素颜色分布代替均值，利用EMD距离找到罗盘直径方向，该方向的直径能最大化圆形窗口中被直径分隔开的两半区域的差异，此方向即为边缘方向，两半圆区域之间的差异度即为边缘幅值，两者构成向量，类似于梯度，用于检测edges、corners和junctions。-Compass operator performance over the Canny operator, compared to other operators, it is replaced
compare
- 直方图是以图形化参数来显示图片曝光精确度的手段，其描述的是图片显示范围内影像的灰度分布曲线。它可以帮助分析图片的曝光水平等一些信息。-Histogram is a graphical display picture exposure parameters to measure the accuracy of its descr iption is the picture display grayscale images within the distribution curve. It can
MRF
- 利用马尔科夫随机场和吉布斯分布来进行图像处理，将图像分为不同区域-The use of markov random field and gibbs distribution for image processing, image can be divided into different areas
MyEqualizeHist
- 直方图均衡化，把原始图的直方图变换为均匀分布的形式，这样就增加了象素灰度值的动态范围从而可达到增强图像整体对比度的效果。-Histogram equalization, histogram of the original image is converted into the form of a uniform distribution, thus increasing the dynamic range of the pixel gray values of the
imgprocessor
- 用MATLAB编写的图像处理的软件，具有图像处理的基本功能，如加噪去噪，边缘提取，直方图分布，模糊化处理，亮度对比度处理等-Using MATLAB image processing software, with the basic image processing functions, such as adding noise denoising, edge detection, histogram distribution, fuzzy processing, brightness, con
thresholding
- 画出图像灰度值分布图像，然后对图像进行增强型处理，即把与特定灰度值差值大于某个特定阈值的点灰度值全部变为0，把图像凸显出来-Draw the image gray value distribution image, then the image enhancement process, that is specific to a particular gray value difference is greater than the threshold gray level value of a
GausFilt
- 使用高斯滤波器和中值滤波器分别对图像进行滤波，之后与原图做差，得到两个滤波器的滤除点的分布的直观见解-Using a Gaussian filter and a median filter for filtering the image, respectively, and then do the difference with the original image, to obtain two filters filter the visual point of view the distri
Poisson
- 首先产生高斯分布，然后通过变换产生泊松分布的随机数，并画出概率密度函数的直方图-First, a Gaussian distribution, and then transform Poisson distributed random number generation, and draw a histogram of the probability density function
Rayleigh
- 首先产生高斯分布，然后通过变换产生瑞利分布的随机数，并画出概率密度函数的直方图-First, a Gaussian distribution, and then transform Rayleigh distributed random numbers, and draw a histogram of the probability density function
SIFT-matlab
- SIFT算法大致有四个步骤： 1，尺度空间极值检测。在尺度空间通过高斯微分函数来检测潜在的对于尺度和旋转不变的兴趣点。 2，关键点定位。在兴趣点位置上，确定关键点的位置和尺度。 3，方向确定。基于图像局部的梯度方向，给每个关键点分配方向。 4，关键点描述。在每个关键点的领域内测量图像局部的梯度。最终用一个特征向量来表达。 -SIFT算法大致有四个步骤： SIFT algorithm has four steps: 1，尺度空间极值检测。在尺度空间
reconstruction_algorithms
- 本代码主要给出了激光粒度仪颗粒散射光强分布以及4种粒度反演算法，以及4种算法之间的比较。四种反演算法为：TSVD、Chaine、Tikhonov和l1正则化。-The code gives the Zetasizer particle scattering intensity distribution, and four kinds of particle inversion algorithm, as well as a comparison between the four algorith
kdtree
- k-d树的matlab程序，包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo scr ipts(kdtree_demo.m & kdrange_demo.m),很实用- This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. Included are the source code files in kdtree/s