dig_photo_2

在matlab环境下，包括图像评价函数算法：Brenner、方差、梯度阈值、熵函数、能量梯度函数。(in Matlab environment, including image evaluation function algorithm : Brenner, variance, gradient threshold, entropy function, energy gradient function.)

新的水下图像对比度增强和分割算法（实现对比度的增强和图像分割，内容包括：新的水下图像对比度增强算法、水下图像的分割算法--2008a）(The new underwater image contrast enhancement and segmentation algorithm (implemented contrast enhancement and image segmentation, including: new underwater image contrast enhancement algorithms, underwater image segmentation algorithm- 2008a))

介绍了不同非线性模型在随机共振中的应用，像饱和非线性，阈值非线性等(Describes the different nonlinear model of stochastic resonance in the application, such as nonlinear saturation threshold nonlinearity. . . .)

该函数用来实现快速离散余弦变换。该函数利用2N点的快速付立叶变换来实现离散余弦变换(This function is used to implement fast discrete cosine transform. 2N points of the function using the fast Fourier transform to achieve the discrete cosine transform)

Random Walker图像分割Matlab源代码，需要安装图形分析工具箱，地址http://eslab.bu.edu/software/graphanalysis/，给出了一个应用例子。(Random Walker Image Segmentation Matlab source code, need to install the graphical analysis toolbox, address http://eslab.bu.edu/software/graphanalysis/, gives an application example.)

此程序为matlab的噪声添加程序，可添加周期函数的噪声(matlab for noise adding)

批量计算气泡的面积 和绘制气泡的轨迹在同一张图片上(Calculate the area of the bubble in batch and draw the trajectory of the bubble on the same picture)

说明：  图像配准SIFT算法,使用python实现（github搬运）(image resigtration sift)

在统计学中，皮尔逊积矩相关系数（英语：Pearson product-moment correlation coefficient，又称作 PPMCC或PCCs[1], 文章中常用r或Pearson s r表示）用于度量两个变量X和Y之间的相关（线性相关），其值介于-1与1之间。在自然科学领域中，该系数广泛用于度量两个变量之间的相关程度。它是由卡尔·皮尔逊从弗朗西斯·高尔顿在19世纪80年代提出的一个相似却又稍有不同的想法演变而来的。这个相关系数也称作“皮尔森相关系数r”。(In statistics, Pearson product-moment correlation coefficient (English: Pearson product-moment correlation coefficient, also known PPMCC or PCCs [1], the article used or Pearson s r r representation) is a measure of the two variables X and Y between correlation (linear correlation), a value between-1 and 1. In the natural sciences, the coefficient is widely used to measure the degree of correlation between the two variables. It is made a similar Karl Pearson Francis Galton in the 1880s but made a slightly different idea evolved. The correlation coefficient is also called Pearson s correlation coefficient r .)

三维labeling_GM_PHD程序,三维labeling_GM_PHD程序(The dimensional labeling_GM_PHD procedures,matlab programme!The dimensional labeling_GM_PHD procedures,matlab programme!)