频率调谐显著区域检测代码详解

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% Copyright (c) 2009 Radhakrishna Achanta [EPFL]
% Contact: firstname.lastname@epfl.ch
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% Citation:
% @InProceedings{LCAV-CONF-2009-012,
%    author      = {Achanta, Radhakrishna and Hemami, Sheila and Estrada,
%                  Francisco and S¨¹sstrunk, Sabine},
%    booktitle   = {{IEEE} {I}nternational {C}onference on {C}omputer
%                  {V}ision and {P}attern {R}ecognition},
%    year        = 2009
% }
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% Please note that the saliency maps generated using this
% code may be slightly different from those of the paper.
% This seems to be because the RGB to Lab conversion is
% different from the one used for the results in the C++ code.
% The C++ code is available on the same page as this matlab
% code (http://ivrg.epfl.ch/supplementary_material/RK_CVPR09/index.html)
% One should preferably use the C++ as reference and use
% this matlab implementation mostly as proof of concept
% demo code.
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% Read image and blur it with a 3x3 or 5x5 Gaussian filter
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img = imread('input_image.jpg');%Provide input image path
gfrgb = imfilter(img, fspecial('gaussian', 3, 3), 'symmetric', 'conv');