FLL-matlab

一种中值滤波的改进方法，基于滤波窗口邻域权重的中值滤波。(A median filter improvement method, based on filtering window neighborhood the weights of the median filter.)

全变差图像去噪，用的分裂Bregman迭代算法，分别用到了L1,、L2、和Lp范数来做的，其中在L1模型中还用到了高斯赛德尔迭代和收缩算子，(Total variation image denoising, with split Bregman iterative algorithm, respectively, used in the L1,, L2, and Lp norm to do, which is also used in the L1 model iterations and high Sisaideer contraction operator)

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 .)

演示了点阵字符的绘制方法，visual c++源码(Demonstrates a dot matrix characters drawing method, c++ source code)

VisualC++数字图像处理技术详解第2版光盘，第十章(VisualC++ digital image processing technology Detailed Version 2 discs, Chapter X)

利用数学形态学构成形态学滤波器对图象进行滤波,处理效果较满意.(using mathematical morphology constitute morphological filter image filtering, processing more satisfied with the results.)

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说明：  均值漂移聚类的源程序,用mean shift 进行聚类，以及绘图显示，很有价值(mean shift based clustering code, using matlab)

方向梯度直方图的全部代码，广泛应用于行人检测行人检测(Histogram of Oriented Gradients code Pedestrian Detection)

Python 分水岭算法 用于图像分割等图像处理(Python watershed algorithm)