搜索资源列表
Mul_edge_detection
- 本程序主要实现图像的边缘提取：实现了以下论文中介绍的新方法：《基于梯度幅值的自适应边缘检测算法.caj》《一种基于_函数的图象边缘检测算法.caj》《一种微分极值的边缘检测算法.kdh》《一种新的边缘检测算法.kdh》，效果很好，很明显，比传统的边缘提取算法更优越。-This procedure mainly realize the image edge detection: the achievement of the followi
optimization
- 一个介绍最优化方法课件，很详细。从最简单的一维搜索到共轭梯度，最速下降法等等，都有说明-An optimization method introduction courseware, in great detail. From the simplest one-dimensional search to the conjugate gradient, steepest descent method, etc., all indicate
Snake-application
- 利用图像区域的局部梯度信息,同时利用序列图像之间局部区域的全局信息及其相关性重 新构造外部能量函数 并根据内外部能量的比值,动态地调节权值参数. 实验结果表明,改 进算法既可以有效地检测出一些拐角点和凹点,又可以避免目标边缘收敛于某些噪声点 或伪边缘点,可达到良好的体分割效果.-Use of local image gradient information region, while the use of sequentia
iccg
- iccg解有限差分方程 不完全分解共轭梯度法解有限差分线性方程组 行业软件-ICCG solution of finite difference equation incomplete decomposition conjugate gradient method finite difference solution of linear equations software industry
Correlation_mfiles_plus_guide
- 一种基于边缘梯度变化的图像关联性的检测源代码，（开发平台MATLAB7.0）-Based on the edge of the image gradient changes in the relevance of the detection of the source code, (the development platform MATLAB7.0)
gongetidufa
- 共轭梯度法编程.共轭梯度法是共轭方向法的一种依赖于迭代点的负剃度而构造出来的-Conjugate gradient method programming. Conjugate gradient method is a conjugate direction method relies on an iterative point out negative tonsure and the structure of the
cg_test
- 科学计算中的共轭梯度法解对称正定线性方程组.-Scientific Computing in the conjugate gradient method symmetric positive definite solution of linear equations.
moto
- 使用c++开发的图像处理程序，对图片的进行处理得到梯度图。-Use c++ Development of image processing procedures for processing images obtained gradient map.
spetial_image_enhancement
- 分别通过高斯低通滤波，梯度运算和拉普拉斯算子对图像进行增强。含有GUI操作界面-Through Gaussian low-pass filtering, the gradient operator and Laplacian image enhancement. Contains a GUI interface
Steepest
- 计算梯度下降法计算极值，只能找到局部最小点。可以通过调整步长实现全局最小-Calculation of gradient descent method to calculate extreme value, can only find local minimum point. By adjusting the step size can achieve the global minimum
gong_e_ti_du
- 利用共轭梯度法进行的简单方程求解。对于学习非线性规划有一定的指导作用。看程序可以熟悉课程。-Conjugate gradient method using the simple equation. For learning non-linear programming a certain guiding function. Familiar with the course can be read.
xxfc
- 全主元高斯约当消去法 2.LU分解法 3.追赶法 4.五对角线性方程组解法 5.线性方程组解的迭代改善 6.范德蒙方程组解法 7.托伯利兹方程组解法 8.奇异值分解 9.线性方程组的共轭梯度法 10.对称方程组的乔列斯基分解法 11.矩阵的QR分解 12.松弛迭代法-PCA-wide Gauss Jordan elimination method 2.LU decomposition meth
steep
- 用MATLAB实现非线性规划中的最速梯度法，并有GUI图形-MATLAB realization of non-linear programming used in the steepest gradient method, and graphical GUI
conjugategradientmethod
- 给出了线性方程组矩阵Ax=b在并行预处理共轭梯度法求解过程，绝对有用哟-Gives the matrix of linear equations Ax = b in parallel preconditioning conjugate gradient method for solving process, is absolutely useful to yo
Unconstrained_optimization
- 压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数-Compression bag
bianyuantiqu
- 用0tsu方法和梯度算法分别对图像进行边缘提取 -Using methods and gradient algorithm 0tsu respectively image edge extraction
Optimization
- 约束最优化方法－－最速下降法(也叫梯度法)，是人们用来求多个变量函数极值问题的最早的一种方法。-Constrained optimization methods- steepest descent method (also known as gradient method), is used for multiple variables function Extremum Problems earliest methods.
cg
- 共轭梯度法解决线性方程组,系数满足对称正定矩阵-Conjugate gradient method to solve linear equations, coefficients satisfy the symmetric positive definite matrix
GrayGradinet
- 图像的一种纹理提取方法，采用灰度梯度共生矩阵，是简单方便的方法-An image texture extraction method, using gray-gradient co-occurrence matrix is a simple and convenient method
fr
- FR共轭梯度算法求极小值。y为给定函数，x为函数变量，x0为搜索起始点 返回值fm为极小值，xm为极小值点-FR conjugate gradient algorithm for the minimum. y for a given function, x as a function of variables, x0 the starting point for the search to return to the value o