基于差分进化算法的图像分割matlab代码

以下是基于差分进化算法的图像分割matlab代码示例：

clc;
clear all;
close all;
warning off;
I=imread('lena.bmp');
figure(1);
imshow(I);
title('Original Image');
I=double(I);
[N M]=size(I);
f=3;
for i=1:N-2
    for j=1:M-2
        b1(i,j)=I(i,j)+I(i,j+1)+I(i,j+2)+I(i+1,j)+I(i+1,j+1)+I(i+1,j+2)+I(i+2,j)+I(i+2,j+1)+I(i+2,j+2);
        b(i,j)=b1(i,j)/f;
    end
end
B=imresize(b,[256,256]);
figure(2);
imshow(uint8(B));
title('Smoothed Image');
I=B;
K=3;
pop_size=20*K;
max_gen=200;
F=0.5;
CR=0.8;
for i=1:pop_size
    X(i,1:K)=randperm(K);
end
for gen=1:max_gen
    for i=1:pop_size
        for j=1:K
            if X(i,j)==1
                Y(i,j)=randi(I(1,1));
            elseif X(i,j)==2
                Y(i,j)=randi(I(1,end));
            elseif X(i,j)==3
                Y(i,j)=randi(I(end,1));
            elseif X(i,j)==4
                Y(i,j)=randi(I(end,end));
            end
        end
        [f1(i),f2(i)]=fitness(Y(i,:),I,X(i,:),K);
        F1(i)=f1(i)/(f1(i)+f2(i));
        F2(i)=f2(i)/(f1(i)+f2(i));
    end
    [F1_sort,F1_index]=sort(F1,'descend');
    [F2_sort,F2_index]=sort(F2,'descend');
    for i=1:pop_size
        for j=1:K
            w(i,j)=F1_sort(i)*F2_sort(j);
        end
    end
    for i=1:pop_size
        r1=randi(pop_size);
        while r1==i
            r1=randi(pop_size);
        end
        r2=randi(pop_size);
        while r2==r1 | r2==i
            r2=randi(pop_size);
        end
        r3=randi(pop_size);
        while r3==r2 | r3==r1 | r3==i
            r3=randi(pop_size);
        end
        v(i,:)=X(i,:)+(F.*w(i,:).*((X(r1,:)-X(r2,:))+(X(r3,:)-X(i,:))));
        for j=1:K
            if v(i,j)<=0
                v(i,j)=1;
            elseif v(i,j)>K
                v(i,j)=K;
            end
        end
        if rand<CR
            U(i,:)=v(i,:);
        else
            U(i,:)=X(i,:);
        end
        [f1_U(i),f2_U(i)]=fitness(Y(i,:),I,U(i,:),K);
        F1_U(i)=f1_U(i)/(f1_U(i)+f2_U(i));
        F2_U(i)=f2_U(i)/(f1_U(i)+f2_U(i));
        if F1_U(i)>=F1(i) & F2_U(i)>=F2(i)
            X(i,:)=U(i,:);
            f1(i)=f1_U(i);
            f2(i)=f2_U(i);
        end
    end
    [bestFit,g]=min(f1);
    BestX=X(g,:);
    BestY=Y(g,:);
    BestX=BestX-1;
    for i=1:N
        for j=1:M
            if BestX(1)==1 & BestX(2)==2 & BestX(3)==3
                if I(i,j)<=BestY(1)
                    FIm(i,j)=255;
                elseif I(i,j)>BestY(1) & I(i,j)<=BestY(2)
                    FIm(i,j)=128;
                elseif I(i,j)>BestY(2) & I(i,j)<=BestY(3)
                    FIm(i,j)=0;
                elseif I(i,j)>BestY(3)
                    FIm(i,j)=255;
                end
            elseif BestX(1)==1 & BestX(2)==3 & BestX(3)==2
                if I(i,j)<=BestY(1)
                    FIm(i,j)=255;
                elseif I(i,j)>BestY(1) & I(i,j)<=BestY(3)
                    FIm(i,j)=128;
                elseif I(i,j)>BestY(3) & I(i,j)<=BestY(2)
                    FIm(i,j)=0;
                elseif I(i,j)>BestY(2)
                    FIm(i,j)=255;
                end
            elseif BestX(1)==2 & BestX(2)==1 & BestX(3)==3
                if I(i,j)<=BestY(2)
                    FIm(i,j)=255;
                elseif I(i,j)>BestY(2) & I(i,j)<=BestY(1)
                    FIm(i,j)=128;
                elseif I(i,j)>BestY(1) & I(i,j)<=BestY(3)
                    FIm(i,j)=0;
                elseif I(i,j)>BestY(3)
                    FIm(i,j)=255;
                end
            elseif BestX(1)==2 & BestX(2)==3 & BestX(3)==1
                if I(i,j)<=BestY(2)
                    FIm(i,j)=255;
                elseif I(i,j)>BestY(2) & I(i,j)<=BestY(3)
                    FIm(i,j)=128;
                elseif I(i,j)>BestY(3) & I(i,j)<=BestY(1)
                    FIm(i,j)=0;
                elseif I(i,j)>BestY(1)
                    FIm(i,j)=255;
                end
            elseif BestX(1)==3 & BestX(2)==1 & BestX(3)==2
                if I(i,j)<=BestY(3)
                    FIm(i,j)=255;
                elseif I(i,j)>BestY(3) & I(i,j)<=BestY(1)
                    FIm(i,j)=128;
                elseif I(i,j)>BestY(1) & I(i,j)<=BestY(2)
                    FIm(i,j)=0;
                elseif I(i,j)>BestY(2)
                    FIm(i,j)=255;
                end
            elseif BestX(1)==3 & BestX(2)==2 & BestX(3)==1
                if I(i,j)<=BestY(3)
                    FIm(i,j)=255;
                elseif I(i,j)>BestY(3) & I(i,j)<=BestY(2)
                    FIm(i,j)=128;
                elseif I(i,j)>BestY(2) & I(i,j)<=BestY(1)
                    FIm(i,j)=0;
                elseif I(i,j)>BestY(1)
                    FIm(i,j)=255;
                end
            end
        end
    end
    figure(3);
    imshow(uint8(FIm));
    title(['Segmented Image in Generation ',num2str(gen)]);
end

注意：上述代码只是一个示例，具体使用时需要根据实际场景和需求进行修改和优化。