Frequency-tuned Salient Region Detection MATLAB代码出错修改方法

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: firstname.lastname@epfl.ch

%---------------------------------------------------------

% 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：

Frequency-tuned Salient Region Detection MATLAB代码出错修改方法的相关教程结束。