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www.eeworm.com/read/458392/7297265

m rankboostaucold.m

function [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % USAGE % % [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % % This a Rankboost algorithm as described in the freund et
www.eeworm.com/read/458392/7297268

m rankboostauc.m

function [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % USAGE % % [alpha,threshold,rankfeat]=rankboostAUC(xapp,yapp,T); % % This a Rankboost algorithm as described in the freund et
www.eeworm.com/read/455115/7377695

m testvgghomog.m

% Demonstration of feature matching via simple correlation, and then using % RANSAC to estimate the homography between two images and at the same time % identify (mostly) inlying matches % % Usage: t
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m testhomog.m

% Demonstration of feature matching via simple correlation, and then using % RANSAC to estimate the homography between two images and at the same time % identify (mostly) inlying matches % % Usage: t
www.eeworm.com/read/455115/7377745

m showfft.m

% SHOWFFT - Displays amplitude spectrum of an fft. % % Usage: showfft(ft, figNo) % % Arguments: ft - Fourier transform to be displayed % figNo - Optional figure number to display imag
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m showlogfft.m

% SHOWLOGFFT - Displays log amplitude spectrum of an fft. % % Usage: showlogfft(ft, figNo) % % Arguments: ft - Fourier transform to be displayed % figNo - Optional figure number to di
www.eeworm.com/read/455115/7377750

m polartrans.m

% POLARTRANS - Transforms image to polar coordinates % % Usage: pim = polartrans(im, nrad, ntheta, cx, cy, linlog, shape) % % Arguments: % im - image to be transformed. % nr
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m dispfeat.m

% DISPFEAT - Displays feature types as detected by PHASECONG. % % This function provides a visualisation of the feature types as detected % by PHASECONG. % % Usage: im = dispfeat(ft, edgeim, 'l') % %
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m testp.m

% Function to make ramps test surface for shape from shapelet testing % % Usage: % function [z,s,t] = testp(noise) % % Arguments: % noise - An optional parameter specifyin
www.eeworm.com/read/455115/7377875

m anisodiff.m

% ANISODIFF - Anisotropic diffusion. % % Usage: % diff = anisodiff(im, niter, kappa, lambda, option) % % Arguments: % im - input image % niter - number of iterations. % k