显示图像的SIFT flow描述子

close all;

% 模拟figure 5
im = zeros(401,401,3);
im(:,:,:) = 0;
im(2:200, 2:200, 2) = 255;
im(202:400, 202:400, 2) = 255;
im(2:200, 202:400, :) = 255;
im(202:400, 2:200, :) = 255;
im=im2double(im);

% im = imread('0000.png');
figure;imshow(im);

cellsize=3;
gridspacing=1;
winSize = 3;
addpath(fullfile(pwd,'mexDenseSIFT'));
addpath(fullfile(pwd,'mexDiscreteFlow'));

%不加噪声，(201,201)sift分布
sift = mexDenseSIFT(im,cellsize,gridspacing);
sift = imnormalize(double(sift));
x = 1:128;
y = squeeze(sift(100, 100, :));

% figure,plot(x, y);
% xlabel('The dimension of the descriptor in SIFT flow','FontSize',12);
% ylabel('Distribution','FontSize',12);
% set(gca, 'FontSize', 12);
%计算该点sift的均值和方差
M1 = mean(y)
V1 = var(double(y))

% %加噪声，(201,201)sift分布
% im_noise =imnoise(im, 'gaussian', 0.02);
% sift_noise = mexDenseSIFT(im_noise,cellsize,gridspacing);
% x = 1:128;
% y = squeeze(sift_noise(201, 201, :));
% figure,plot(x, y);
% figure, imshow(im_noise);
% %计算该点sift的均值和方差
% M2 = mean(y)
% V2 = var(double(y))

%不加噪声，(100,100)sift分布
y1 = squeeze(sift(201, 201, :));
figure,plot(  x, y1, 'r', x, y, 'b', x, y, '--g', 'LineWidth', 2);

xlabel('Dimension Degree of SIFT Flow Descriptor','FontSize',20);
ylabel('Distribution','FontSize',20);
set(gca, 'FontSize', 20);
axis([0, 130, -0.1, 1.1]);

hleg1 = legend('B', 'A', 'C');

%计算该点sift的均值和方差
M3 = mean(y)
V3 = var(double(y))

% %%加噪声，(100,100)sift分布
% y = squeeze(sift_noise(100, 100, :));
% figure,plot(x, y);
% %计算该点sift的均值和方差
% M4 = mean(y)
% V4 = var(double(y))