SIFT

一个matlab里面的基本操作的演示程序(Matlab basic operation inside a demonstration program)

procesado de imagen mat lab

说明：  拉普拉斯高斯算子 拉普拉斯—高斯算子（Laplacian of Gaussian算子，通常缩写为log算子）是一种二阶微分算子，将在边缘处产生一个陡峭的零交叉。(Laplace Gaussian operator Laplace- Gaussian operator (Laplacian of Gaussian operator, often abbreviated as log operator) is a second-order differential operator, will be generated at the edge of a steep zero crossing.)

Persistence standard

本程序是matlab滑动平均算法。用于去除低频干扰。(This procedure is the matlab moving average algorithm.Used to remove the low frequency interference.)

基于matlab的温度场模拟，相关人员可以参考尝试看看。(Matlab-based simulation of temperature field, related personnel can refer to try.)

Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. The algorithm is patented in the US the owner is the University of British Columbia.

教材统计学习方法 Statistical Learning Materials(Statistical Learning Materials)

此程序模拟了17X11的正方形光子晶体点阵作为能量偏分器的动态过程。(This program simulates a 17X11 square photonic crystal lattice energy as a partial divider dynamic process.)

利用大整数问题实现catalan数的求解，catalan数的计算涉及到互质问题(The use of large integer problems solving to achieve catalan number, catalan calculation of the number of issues related to coprime)