Matlab抠图代码.docx

注：显示图像后，单击鼠标左键连出完全背景区域，双击左键结束； 图像改变后，再单击鼠标左键连出完全前景区域，双击左键结束。即可得到结果。A=imread(ppmm2.bmp);imshow(A);hold on;Threshold = 1;UniBack=0 0 255;% choose background object, and B results into the Foreground Object and the% Boundary Region% choose the outer line of the boundary region. Single left click the mouse to specify vertice.Double left click or single right click to finish;OuterBW = roipoly(A);B(:,:,1) = immultiply(A(:,:,1),OuterBW);B(:,:,2) = immultiply(A(:,:,2),OuterBW);B(:,:,3) = immultiply(A(:,:,3),OuterBW);Back(:,:,1) = immultiply(A(:,:,1),OuterBW);Back(:,:,2) = immultiply(A(:,:,2),OuterBW);Back(:,:,3) = immultiply(A(:,:,3),OuterBW);imshow(B);% choose foreground object, and C results into a Circle of Interest% choose the inner line of the boundary region. Single left click the mouse to specify vertice.Double left click or single right click to finish;InnerBW = roipoly(B);C(:,:,1) = immultiply(B(:,:,1),InnerBW);C(:,:,2) = immultiply(B(:,:,2),InnerBW);C(:,:,3) = immultiply(B(:,:,3),InnerBW);Fore(:,:,1) = immultiply(A(:,:,1),InnerBW);Fore(:,:,2) = immultiply(A(:,:,2),InnerBW);Fore(:,:,3) = immultiply(A(:,:,3),InnerBW);imshow(C);hold off;RawAlpha = (double(OuterBW)+double(InnerBW)/2;I = double(A);% Method of averaging to get raw fore and background colorsfor i = 1:size(RawAlpha,1) for j = 1:size(RawAlpha,2) RawFore(i,j,1)=0; RawFore(i,j,2)=0; RawFore(i,j,3)=0; RawBack(i,j,1)=0; RawBack(i,j,2)=0; RawBack(i,j,3)=0; if RawAlpha(i,j) = 1 RawFore(i,j,:)=Fore(i,j,:); end; if RawAlpha(i,j) = 0 RawBack(i,j,:)=Back(i,j,:); end; if RawAlpha(i,j) = 0.5 r=1; while 1 TestFore = InnerBW(max(i-r,1):min(i+r,size(A,1),max(j-r,1):min(j+r,size(A,2); if size(find(TestFore),1) i1, j1 = find(TestFore); i2 = i1 + max(i-r,1) -1; j2 = j1 + max(j-r,1) -1; Rs = double(Fore(i2,j2,:); Ds(:,1)=diag(Rs(:,:,1); Ds(:,2)=diag(Rs(:,:,2); Ds(:,3)=diag(Rs(:,:,3); if size(Ds,1) = 1 RawFore(i,j,:) =Ds; else RawFore(i,j,:) = sum(Ds) / size(Ds,1); end; clear Ds; break; else r=r+1; end; end; r=1; while 1 TestBack = OuterBW(max(i-r,1):min(i+r,size(A,1),max(j-r,1):min(j+r,size(A,2); if size(find(TestBack),1) i1, j1 = find(TestBack); i2 = i1 + max(i-r,1) -1; j2 = j1 + max(j-r,1) -1; Rs = double(Back(i2,j2,:); Ds(:,1)=diag(Rs(:,:,1); Ds(:,2)=diag(Rs(:,:,2); Ds(:,3)=diag(Rs(:,:,3); if size(Ds,1) = 1 RawBack(i,j,:) =Ds; else RawBack(i,j,:) = sum(Ds) / size(Ds,1); end; clear Ds; break; else r=r+1; end; end; end; end;end;%此处没有用高斯滤波Denorm = RawFore - RawBack;%red channelI1 = I(:,:,1);Denorm1 = Denorm(:,:,1);for i=1:size(Denorm1,1) for j= 1: size(Denorm1,2) if Denorm1(i,j)=0 Denorm1(i,j)=1; end; end;end;OldAlpha = RawAlpha;NewAlpha = RawAlpha;h1=0;while 1 for i=1:size(OldAlpha,1) for j=1:size(OldAlpha,2) NewAlpha(i,j) = OldAlpha(i,j); if RawAlpha(i,j) = 0.5 Roui = (I1(i+1,j) + I1(i-1,j) - 2 * I1(i,j) * Denorm1(i,j) - (I1(i+1,j) - I1(i,j) * (Denorm1(i+1,j) - Denorm1(i,j)/(Denorm1(i,j) * Denorm1(i,j); Rouj = (I1(i,j+1) + I1(i,j-1) - 2 * I1(i,j) * Denorm1(i,j) - (I1(i,j+1) - I1(i,j) * (Denorm1(i,j+1) - Denorm1(i,j)/(Denorm1(i,j) * Denorm1(i,j); Rou = Roui + Rouj; NewAlpha(i,j) = (OldAlpha(i+1,j) + NewAlpha(i-1,j) + OldAlpha(i,j+1) + NewAlpha(i,j-1) - Rou) / 4; if NewAlpha(i,j)1 NewAlpha(i,j)=1; end; end; end; end; % imshow(uint8(NewAlpha*255); DifferenceAlpha = abs(NewAlpha - OldAlpha); OldAlpha = NewAlpha; if sum(sum(DifferenceAlpha) Threshold break; end; h1=h1+1;end;for i=1:size(A,1) for j=1:size(A,2) if OldAlpha(i,j)=0 NewImage(i,j,:)=UniBack; else NewImage(i,j,1)=UniBack(1)*(1-OldAlpha(i,j)+RawFore(i,j,1)*OldAlpha(i,j); NewImage(i,j,2)=UniBack(2)*(1-OldAlpha(i,j)+RawFore(i,j,2)*OldAlpha(i,j); NewImage(