代码搜索：Gradient

找到约 2,951 项符合「Gradient」的源代码

代码结果 2,951
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m gmi.m

function G = GMI(Is, Ir, sigma) % % % -- referrence by % % % "Image registration by maximization of combined mutual information % % % and gradient information" -- J P W Pluim, ... % % %
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www.eeworm.com/read/455115/7377850

m frankotchellappa.m

% FRANKOTCHELLAPPA - Generates integrable surface from gradients % % An implementation of Frankot and Chellappa'a algorithm for constructing % an integrable surface from gradient information. % % Usa
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www.eeworm.com/read/141112/13040244

xfm teeedigrad.xfm

object TeeGradientEditor: TTeeGradientEditor Left = 353 Top = 385 AutoScroll = False BorderIcons = [biSystemMenu] Caption = 'Gradient Editor' ClientHeight = 197 ClientWidth = 251
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www.eeworm.com/read/325790/13184795

m initgrad.m

function [idxstart,idxlength]=initgrad(obj,diffvar) % Generates a gradient with respect to the variable represented by the integer given in 'diffvar' % % Syntax: (* = optional) % % grad = initgra
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www.eeworm.com/read/309752/13664910

m gmi.m

function G = GMI(Is, Ir, sigma) % % % -- referrence by % % % "Image registration by maximization of combined mutual information % % % and gradient information" -- J P W Pluim, ... % % %
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www.eeworm.com/read/301220/13863325

m fgcone.m

function [f, J] = fgcone(a, X, w) % --------------------------------------------------------------------- % FGCONE.M Function and gradient calculation for % least-squares cone fit.
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www.eeworm.com/read/485906/6550196

xfm teeedigrad.xfm

object TeeGradientEditor: TTeeGradientEditor Left = 353 Top = 385 AutoScroll = False BorderIcons = [biSystemMenu] Caption = 'Gradient Editor' ClientHeight = 197 ClientWidth = 251
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www.eeworm.com/read/152624/12096347

m gmi.m

function G = GMI(Is, Ir, sigma) % % % -- referrence by % % % "Image registration by maximization of combined mutual information % % % and gradient information" -- J P W Pluim, ... % % %
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www.eeworm.com/read/152020/12151091

m gmi.m

function G = GMI(Is, Ir, sigma) % % % -- referrence by % % % "Image registration by maximization of combined mutual information % % % and gradient information" -- J P W Pluim, ... % % %
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www.eeworm.com/read/338243/12316468

man cgls.3.man

CGLS(derived) OPTIMIZATION ALGORITHMS CGLS(derived) Jun 1 15:17 NAME CGLS - Conjugate Gradient for Least Squares SYNOPSIS #inc
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