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Description: ％DEFINEV Scaling vector and derivative
％
％ [v,dv]= DEFINEV(g,x,l,u) returns v, distances to the
％ bounds corresponding to the sign of the gradient g, where
％ l is the vector of lower bounds, u is the vector of upper
％ bounds. Vector dv is 0-1 sign vector (See ?? for more detail.)
％
％ Copyright (c) 1990-98 by The MathWorks, Inc.
％ $Revision: 1.2 $ $Date: 1998/03/21 16:29:10 $- DEFINEV Scaling vector and derivative [v, dv] = DEFINEV (g, x, l, u) returns v, distances to the bounds corresponding to the sign of the gradient g, where l is the vector of lower bounds , u is the vector of upper bounds. Vector dv is 0-1 sign vector (See?? for more detail.) Copyright (c) 1990-98 by The MathWorks, Inc. $ Revision: 1.2 $ $ Date : 1998/03/21 16:29:10 $
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Author: 张风 |
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Description: 基于MPI和OpenMp混合编程的并行共轭梯度法（CG）代码，可供正在学习并行数值计算的同学参考-Based on MPI and OpenMP parallel programming mixed conjugate gradient method (CG) code, for numerical calculation are learning students parallel reference
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Author: sany |
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Description: 共轭梯度法matlab程序newton法M文件-Conjugate gradient method newton method matlab procedures M documents
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Author: sara |
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Description: 本文针对灰度图像的盲复原问题进行了一些研究，介绍了两种不同的图像盲复
原处理的方法。一种是误差一参数分析法，该方法适合于辨识可以用参数来表征的
点扩散函数，如线性移动模型和Gauss模型等，然后根据估计的参数确定退化图像
的点扩’散函数，再利用常规的复原算法(如维纳滤波法)对退化图像进行复原处理
另一种是非负支撑域约束递归逆滤波(NAS-R工F)算法，文中介绍了NAS-R工F算法
的基本思想，并结合正则化的思想，提出了NAS-RIF的改进算法，相应对该算法的
性能效果进行了仿真分析。
1.图像去噪MATLAB仿真程序.m
2.图像点扩展函数获取MATLAB仿真程序.m
3.约束最小二乘法图像复原MATLAB仿真程序.m
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Author: 刘赛 |
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Description: 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 contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function
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Author: 闫安心 |
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Description: Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束.-Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions.
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Author: maolei |
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Description: 梯度下降算法实现程序，梯度下降算法实现程序-Gradient descent algorithm procedure
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Author: ade |
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Description: My code is implementation of classic snakes, according to the article of Active contour model. I m making reduction of external curve to the center which searching for extremum (the strongest intensity gradient of edge).
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Author: paz |
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Description: 非线性规划中的最陡下降法、BFGS方法和共轭梯度法matlab源程序（3－拟牛顿BFGS方法）.m-Non-linear programming in the steepest descent method, BFGS and conjugate gradient method matlab source code (3- Quasi-Newton BFGS method). M
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Author: lilin |
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Description: traightforward Diffusion MRI (DTI) and Fiber Tracking (FT) functions and examples.
DTI.m, will calculate the Apparent Diffusion Coefficient(ADC), fractional anistropy (FA), and diffusion tensor field, of a DTI datasets consisting of at least 6 dataset with different MRI gradients and at least 1 without gradient.
FT.m, will calculate neural tracts (fiber tracts) starting from every point in the brain, and outputs all fibers crossing a certain ROI.
Try DTI_example.m and then FT_example.m
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Size: 5299200 |
Author: mitko |
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Description: 对图形进行边缘检测并输出边缘点和该点所在处的灰度变化率。-edge detection and output the edge point and its corresponding gradient.
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Size: 2048 |
Author: Andy Qin |
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Description: this *.m file is the implementation of fibonacci search that is used for finding gradient vector in optimizaiton algorithm-this*.m file is the implementation of fibonacci search that is used for finding gradient vector in optimizaiton algorithm
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Author: yzb.ufo |
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Description: 【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦Matlab程序
【14】F-检验法部分程序
-【1】 【2-random sequence generation process white noise generation process】 【3】 M sequence generation process 【4】 to complete a one-time second-order system least-squares identification procedure 【5】 actual pressure system least-squares identification procedure 【6】 Delivery Push the least squares identification procedure augmented 【7】 【8】 least square identification procedures for gradient correction least square identification procedure 【9】 Recursive maximum likelihood identification procedures 【10】 【11】 Bayes identification procedures Improved neural network algorithm MBP noise system identification procedure 【12】 multi-dimensional nonlinear function identification program Matlab program 【13】 fuzzy neural network decoupling Matlab program 【14】 F-test part of the program
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Author: jshuska |
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Description: gvf snake 邊緣檢測範例(包含範例圖)-1. Introduction and Installation Instructions
----------------------------------------------
Welcome to the Gradient Vector Flow (GVF) Active Contour Toolbox. The
Matlab*.m files in this software distribution implement our GVF snake,
the original (Kass, Witkin, and Terzopoulos) snake, the balloon snake,
and the distance snake. These programs were designed, written and tested
by Chenyang Xu and Jerry Prince.
To install this software, simply unzip the file into an empty directory,
making sure to ask your unzipper program to restore the directory
structure of the zipped files. In this documentation, we will assume
that you have unzipped the files into C:\GVF.
2. Documentation
----------------
We have included two research papers that describe GVF. You can find
these in C:\GVF\papers.
Brief descriptions of the software modules can be found in this file
below. For more detail, you should run Matlab, add the path
C:\GVF\snake, and type "help function-name". F
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Author: Jason Wang |
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Description: C++ version (OpenCV) of the Matlab built-in functions accumarray.m and gradient.m
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Author: Phan |
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Description: 《数字图像处理》源码
部分函数列表
bayesgauss - Bayes classifier for Gaussian patterns.
bound2eight - Convert 4-connected boundary to 8-connected.
bound2four - Convert 8-connected boundary to 4-connected.
bound2im - Convert boundary to image.
boundaries - Trace region boundaries.
bsubsamp - Subsample a boundary.
colorgrad - Vector gradient of RGB image.
colorseg - Segment a color image.
connectpoly - Connect vertices of polygon.
diameter - Measure diameter of image regions.
-" Digital image processing," sourceing
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Author: hsj |
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Description: linear conjugate gradient
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Author: belal |
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Description: 预处理共轭梯度的方法,该方法有效，快速-preconditioned conjugate gradient（PCG）
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Size: 24576 |
Author: 道道 |
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Description: matlab m文件运用5种不同的梯度增强法进行图像锐化和图像的高通滤波和掩模处理-matlab m files using five different gradient method for image enhancement and image sharpening high-pass filter and mask handling
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Size: 1024 |
Author: 米线 |
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Description: 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 contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function-Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function
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Size: 1024 |
Author: zhuyuanli |
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