How to extract object in an image after boundary detection ?

[shymariyas24]

I've used 'level set based segmentation' method to detect lung boundary in an X-ray image. The boundary is detected, but couldn't segment or extract lung portion from that input X-ray image. Can anyone please help me ? Here the boundary is obtained as a contour . That's y I couldn't correlate it with the input image. Is there any method to convert contour to image form or to extract lung portion from the input X-ray image ? My code is added below..

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clc clear all; close all; im = imread('coins.png'); figure(1),imshow(im);
 
dimension=ndims(im); if dimension==3 im = rgb2gray(im); end Img1 = im; Img=double(Img1); [nrow, ncol]=size(Img); BW = roipoly(Img); figure(8),imshow(BW); title('Polygon'); u=8*(0.5-BW); figure(9);imshow(He, [0, 255]);hold on; [c,h] = contour(u,[0 0],'r'); [Ix,Iy]=gradient(Img); f=Ix.^2+Iy.^2; g=1./(1+f); lambda=5; delt=3; iteration=200; for n=1:iteration u=levelset(u, g, lambda, delt); if mod(n,25)==0 pause(1); figure(10),imshow(He, [0, 255]); hold on; [c,h] = contour(u,[0 0],'r'); iterNum=[num2str(n), ' iterations']; title(iterNum); hold off; end end
 
function u = levelset(u0, g, lambda, delt) u=u0; [vx,vy]=gradient(g); epsilon=1.5; mu=0.2/5; alf=5;
 
for k=1:1 u=weightvalue(u); [ux,uy]=gradient(u); normDu=sqrt(ux.^2 + uy.^2 + 1e-10); Nx=ux./normDu; Ny=uy./normDu; diracU=Dirac(u,epsilon); K=curvature_central(Nx,Ny); weightedLengthTerm=lambda*diracU.*(vx.*Nx + vy.*Ny + g.*K); penalizingTerm=mu*(4*del2(u)-K); weightedAreaTerm=alf.*diracU.*g; u=u+delt*(weightedLengthTerm + weightedAreaTerm + penalizingTerm); % update the level set function end % the following functions are called by the main function function f = Dirac(x, sigma) f=(1/(2.*sigma))*(1+cos(pi*x/sigma)); b = (x<=sigma) & (x>=-sigma); f = f.*b;
 
function K = curvature_central(nx,ny) [nxx,junk]=gradient(nx); [junk,nyy]=gradient(ny); K=nxx+nyy;
 
function g = weightvalue(f) % Make a function satisfy Neumann boundary condition [nrow,ncol] = size(f); g = f; g([1 nrow],[1 ncol]) = g([3 nrow-2],[3 ncol-2]); g([1 nrow],2:end-1) = g([3 nrow-2],2:end-1); g(2:end-1,[1 ncol]) = g(2:end-1,[3 ncol-2]);

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