yasuobi

利用最大有效圆法或最大内切圆法提取掌纹掌脉图像的roi(Using maximum effective circle method or maximum inscribed circle method to extract palm print palm vein image ROI)

一个很实用的GVF SNAKE程序，对于新手来说，可以通过代码的学习，掌握GVF SNAKE的意义和处理步骤(A very practical GVF SNAKE procedures, for the novice, it can be through the code learning, GVF SNAKE grasp the meaning and processing steps)

7个不变矩的在Matlab中的实现，提供代码供大家参考。(Seven invariant moments of the realization in Matlab to provide the code for your reference.)

操作简单，实现双目视觉下的三维重建，输入双目下两张图片，生成渲染后的重建结果。(Simple, to achieve a three-dimensional reconstruction under binocular vision, binocular enter under two pictures, generated reconstructions rendered.)

图像变换,处理图片的变换及反走样处理，包含ＶＢ和ＶＣ的源文件(Image transformation, to deal with the change of image and anti-aliasing processing, VB and VC contains source files)

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 .)

labview图像预处理，子程序,包括转化为灰度图，二值化，腐蚀，膨胀，参数可调(labview IMAQ image pretreatment,sub vi，consist of conversion to grayscale, binary, erosion, dilation, adjustable parameters)

说明：  基于邻域的比例算法求两幅图像的差异图，用于变化检测。(The proportion of neighborhood-based algorithms to find the difference of the two images map for change detection.)

matlab编写Zernike多项式拟合横向剪切波前重建。(matlab write Zernike polynomial fitting transverse shear wave before reconstruction.)

对图像实现分块操作 很实用的程序(Realize the image sub-block operation is very useful procedure)