算法实现Alg17《Infrared Small-Target Detection Using Multiscale Gray Difference Weighted Image Entropy 》

发表期刊：IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS VOL. 52, NO. 1 FEBRUARY 2016  

Impact factor：1.975 Not SCI

文章引用：Deng H, Sun X, Liu M, et al. Infrared small-target detection using multiscale gray difference weighted image entropy[J]. IEEE Transactions on Aerospace & Electronic Systems, 2016, 52(1):60-72.

clear all;
close all;
clc;

img=imread('E:\A 研究生学习\我的论文~\image\6.jpg');
n=size(size(img));
if n(1,2)==2;
    im_gray=img;
else im_gray=rgb2gray(img);
end
imtool(im_gray);

[M,N]=size(im_gray);
f=im_gray;
Lmax=9;
kmax=(Lmax+1)/2;
%% 自己写的程序计算D(x，y) 不对 不知道为啥啊
% for k=1:kmax-1
%   for i=kmax:M-kmax     
%     for j=kmax:N-*kmax
%          OMGkmax=f(i-kmax+1:i+kmax-1,j-kmax+1:j+kmax-1);
%          OMGk=f(i-k+1:i+k-1,j-k+1:j+k-1);
%          D(i,j,k)=(mean(mean(OMGk))-mean(mean(OMGkmax))).^2;   
%     end
%   end
%  Df=zeros( size(D(:,:,1),1),size(D(:,:,1),2));
%  Df=max(D(:,:,1),D(:,:,k));
% end

%% 利用matlab自带程序计算D(x，y)
N=Lmax;
for k=1:kmax-1;  %k为半径
   k1=2*k+1;
   Nmax=ordfilt2(f,(N*N+1)/2,ones(N)); 
   Nk=ordfilt2(f,(k1*k1+1)/2,ones(k1));
   D(:,:,k)=(Nmax-Nk).^2;
   Df=zeros(size(D(:,:,1),1),size(D(:,:,1),2));
   Df=max(D(:,:,1),D(:,:,k));
end

figure;
imshow(Df);
title('Multiscale gray difference');

%% 自带程序计算熵
E=entropyfilt(im_gray);  %系统的局部熵函数
%% 写的程序计算熵
% [m n]=size(im_gray);
% w=3;    %模板半径
% imgn=zeros(m,n);
% for i=1+w:m-w
%     for j=1+w:n-w
%         
%         Hist=zeros(1,256);
%         for p=i-w:i+w
%             for q=j-w:j+w
%                 Hist(img(p,q)+1)=Hist(img(p,q)+1)+1;    %统计局部直方图
%             end
%         end
%         Hist=Hist/sum(Hist);
%         for k=1:256
%             if Hist(k)~=0
%                imgn(i,j)=imgn(i,j)+Hist(k)*log(1/Hist(k));  %局部熵
%             end
%         end
%     end
% end
% E=imgn;
%% 最终
final= E.* double(Df);
figure;
imshow(final,[]);
title('NWIE')

%% 三维灰度图
figure; %final
img_1=imresize(Df,1); %图像放缩
[m,n]=size(img_1);
[x,y]=meshgrid(1:1:n,1:1:m);
for i=1:m
    for j=1:n
        H(i,j)=img_1(i,j);
    end
end
mesh(double(x),double(y),double(H));
set(gca,'XLim',[0,320],'YLim',[0,240]);
xlabel('x');
ylabel('y');
title(' 3D--Multiscale gray difference ');

% 
figure; %final
img_2=imresize(E,1); %图像放缩
[m,n]=size(img_2);
[x,y]=meshgrid(1:1:n,1:1:m);
for i=1:m
    for j=1:n
        G(i,j)=img_2(i,j);
    end
end
mesh(double(x),double(y),double(G));
set(gca,'XLim',[0,320],'YLim',[0,240]);
xlabel('x');
ylabel('y');
title('3D--local entropy');

figure; %final
img_3=imresize(final,1); %图像放缩
[m,n]=size(img_3);
[x,y]=meshgrid(1:1:n,1:1:m);
for i=1:m
    for j=1:n
        G(i,j)=img_3(i,j);
    end
end
mesh(double(x),double(y),double(G));
set(gca,'XLim',[0,320],'YLim',[0,240]);
xlabel('x');
ylabel('y');
title(' final NWIE');

实验结果：原图：

原文配图：