代码搜索：Gradient
找到约 2,951 项符合「Gradient」的源代码
代码结果 2,951
www.eeworm.com/read/323831/13314348
h ctorchvfunction.h
// Copyright (C) 2003
// Gerhard Neumann (gerhard@igi.tu-graz.ac.at)
//
// This file is part of RL Toolbox.
// http://www.igi.tugraz.at/ril_toolbox
//
// All rights reserved.
www.eeworm.com/read/137285/13335083
c cg.c
/* #include
#include */
#include "./r.h"
/* #include "../ansi/nrutil.h" */
#include "./mynr.h"
/* CONJUGATE GRADIENT ALGORITHMS */
/* Rewritten starting 9 June 1992 to make them
www.eeworm.com/read/320701/13419835
m p0309.m
[I,map]=imread('3-22.jpg');
imshow(I,map);
I=double(I);
[Gx,Gy]=gradient(I); % 计算梯度
G=sqrt(Gx.*Gx+Gy.*Gy); % 注意是矩阵点乘
J1=G;
figure,imshow(J1,map); % 第一种图像增强
J2=I;
www.eeworm.com/read/318956/13465944
m p0309.m
[I,map]=imread('3-22.jpg');
imshow(I,map);
I=double(I);
[Gx,Gy]=gradient(I); % 计算梯度
G=sqrt(Gx.*Gx+Gy.*Gy); % 注意是矩阵点乘
J1=G;
figure,imshow(J1,map); % 第一种图像增强
J2=I;
www.eeworm.com/read/310277/13654163
m compdiff3.m
%Program : Non Linear Complex Diffusion
%Author : Jeny Rajan
%The following program will produce scale space image based on the concept of
%non linear complex diffusion.
%Application area : Image Den
www.eeworm.com/read/307825/13714426
ini terminal green.ini
[TTIWAdvWebGrid]
ActiveRow=0
ActiveRowColor=0
ActiveRowFontColor=12648384
AdvanceOnReturn=False
Align=alNone
AlwaysEdit=False
Anchors=akLeft,akTop
AutoEdit=False
AutoHTMLAdapt=False
Color=16
www.eeworm.com/read/307825/13714451
ini terminal green.ini
[TTIWDBAdvWebGrid]
ActiveRow=0
ActiveRowColor=0
ActiveRowFontColor=12648384
AdvanceOnReturn=False
Align=alNone
AlwaysEdit=False
Anchors=akLeft,akTop
AutoEdit=False
AutoHTMLAdapt=False
Color=
www.eeworm.com/read/304061/13802240
txt 例1.48.txt
例1.48 数据差分和积分。
>> X=[5.3 13 0.4; 5.1 11.8 -1.7;
3.7 8.1 0.6; 1.5 7.7 -4.5];
>> gradient(X)
ans =
7.7000 -2.4500 -12.6000
6.7000 -3.4000 -13.5000
4.4000 -1.5500
www.eeworm.com/read/415194/6281729
m subsetcg.m
function [y Residual i]=SubsetCG(x,y,A,Pt,IN,tol,verbose)
% Conjugate gradient algorithm to solve y=Dtmat * Dmat * x
%
% Dmat and Dtmat are either matrices, objects or function handles
% for Dmat matr
www.eeworm.com/read/326342/6330938
m p0309.m
[I,map]=imread('3-22.jpg');
imshow(I,map);
I=double(I);
[Gx,Gy]=gradient(I); % 计算梯度
G=sqrt(Gx.*Gx+Gy.*Gy); % 注意是矩阵点乘
J1=G;
figure,imshow(J1,map); % 第一种图像增强
J2=I;