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MATLAB_Demystified matlab揭秘(MATLAB_Demystified)

说明：  经典最优统计的书，涉及到很多图像处理的方法，可以一读(09 CVPR article on the code to the fog, the classic image processing methods, you can change image to see different results.)

最速下降法又称为梯度法，是1847 年由著名数学家Cauchy 给出的，它是解析法中最古老的一种，其他解析方法或是它的变形，或是受它的启发而得到的，因此它是最优化方法的基础。这里给出其Matlab源程序。(The steepest descent method, also known as gradient method, was in 1847 given by the famous mathematician Cauchy, it is the oldest analytical method one, other analytical method or its variants, or inspired by it obtained and therefore it is the basis for the optimization method. Here are its Matlab source.)

This exchange file creates a clickable image map for a figure with links to multiple data sources

蚁群算法是受真实的蚂蚁群体行为启发而得出的一类仿生算法。采用蚁群算法，设计好蚁群系统，利用MATLAB进行仿真，解决函数优化问题。(Ant colony algorithm is inspired by real ants swarm behavior and it is concluded that the category of bionic algorithm. Using ant colony algorithm, design good ant colony system, use of MATLAB simulation, to solve the function optimization problem.)

image processing using matlab book

image filter inverseFilter.m

Bi-dimensional Gabor filter with DC component compensation This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P described by the following equation: G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)), where: Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2)) Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P))) DC(F,S,P)=exp(-pi*(F/S)^2+j*P) File Id: 13776 Average rating: 0.0 Size: 1 KB # of reviews: 0 Submitted: 2007-01-26 Downloads: 274 Subscribers: 0 Keywords: gabor filter Stiven Schwanz Dias (Bi-dimensional Gabor filter with DC compo .. compensation This version of the 2D Gabor f ilter is basically a bi-dimensional Gaussian f unction centered at origin (0, 0) with variance S modulated by a complex sinuso id with polar frequency (F, W) and phase P described by the following equati on : G (x, y, S, F, W, P) = k* Gaussian (x, y, S)* (Sinusoid (x, y, F, W, P)- DC (F, S, P)), where : Gaussian (x, y, S) = exp (-pi* S* 2 ^ (x ^ 2 y ^ 2)) Sinusoid (x, y, F, W, P) = exp (j* (2* pi* F* (x* cos (W) y* sin (W)) P))) D C (F, S, P) = exp (-pi* (F/S) ^ 2* P j) File Id : 13776 Average rating : 0.0 Size :# 1 KB of reviews : 0 Submitted : 2007-01-26 Downloads : 274 Subscribers : 0 Keywords : gabor filter Stiven Schwanz Dias)

mtoc++ - Doxygen filter for Matlab and tools

implementacion de un algoritmo para el puzzle 8