论文：Frequency-tuned Salient Region Detection.CVPR.2009
MATLAB代码运行出错如下：
Error using makecform>parseWPInput (line 389)
Expected input number 2, PROPERTYNAME, to match one of these strings:
AdaptedWhitePoint
The input, ''whitepoint'', did not match any of the valid strings.
Error in makecform>parseWPInputs (line 378)
wp = parseWPInput(varargin{2}, varargin{3}, valid_strings, 'WP', 2);
Error in makecform>make_srgb2lab_cform (line 349)
wp = parseWPInputs('AdaptedWhitePoint', varargin{:});
Error in makecform (line 213)
c = make_srgb2lab_cform(varargin{:});
Error in FT_Saliency_CVPR2009 (line 36)
cform = makecform('srgb2lab', 'whitepoint', whitepoint('d65'));
修改如下：
cform = makecform('srgb2lab', 'AdaptedWhitePoint', whitepoint('d65'));
%---------------------------------------------------------
% Copyright (c) Radhakrishna Achanta [EPFL]
% Contact: [email protected]
%---------------------------------------------------------
% Citation:
% @InProceedings{LCAV-CONF--,
% author = {Achanta, Radhakrishna and Hemami, Sheila and Estrada,
% Francisco and S黶strunk, Sabine},
% booktitle = {{IEEE} {I}nternational {C}onference on {C}omputer
% {V}ision and {P}attern {R}ecognition},
% year =
% }
%---------------------------------------------------------
% 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.
%---------------------------------------------------------
%
%
%---------------------------------------------------------
% Read image and blur it with a 3x3 or 5x5 Gaussian filter
%---------------------------------------------------------
img = imread('100\images\8.jpg');%Provide input image path
gfrgb = imfilter(img, fspecial('gaussian', , ), 'symmetric', 'conv');
%symmetric图像大小通过镜像反射其边界来扩展 conv通过使用卷积来完成
%fspecial('gaussian', , )产生3*3高斯低通滤波器模板
%---------------------------------------------------------
% Perform sRGB to CIE Lab color space conversion (using D65)
%---------------------------------------------------------
%cform = makecform('srgb2lab', 'whitepoint', whitepoint('d65'));
cform = makecform('srgb2lab', 'AdaptedWhitePoint', whitepoint('d65'));
lab = applycform(gfrgb,cform);
%---------------------------------------------------------
% Compute Lab average values (note that in the paper this
% average is found from the unblurred original image, but
% the results are quite similar)
%---------------------------------------------------------
l = double(lab(:,:,)); lm = mean(mean(l));
a = double(lab(:,:,)); am = mean(mean(a));
b = double(lab(:,:,)); bm = mean(mean(b));
%---------------------------------------------------------
% Finally compute the saliency map and display it.
%---------------------------------------------------------
sm = (l-lm).^ + (a-am).^ + (b-bm).^;
imshow(sm,[]);
%---------------------------------------------------------
效果图：