📄 image.m
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% images.m loads and displays two Matlab images. It shows how to do simple% modifications such as brightening, reverse video, superimposition,% flipping, and blurring. It also makes a graph of the gray-scale intensity% as a surface and contour graph.orient tallload clownC=ind2gray(X,map); load treesT=ind2gray(X,map);T=T(1:200,1:320);h = fspecial('gaussian',[5 5]); BC = filter2(h,C); BC = filter2(h,BC); BC = filter2(h,BC); BC = filter2(h,BC); BC = filter2(h,BC); BC = filter2(h,BC); computecontrast(C)computecontrast(BC)subplot(4,2,1)imshow(C,64);title('Clown')subplot(4,2,2)imshow(T,64);title('Trees')subplot(4,2,3)imshow(max(max(C))-C,64);title('1 - Clown');subplot(4,2,4)imshow(fliplr(T)+0.4,64)title('Trees + 0.4, reversed');subplot(4,2,5)imshow(C.*C,64);title('Clown * Clown');subplot(4,2,6)imshow((4*C+T)/5,64);title('0.8*Clown + 0.2*Trees');subplot(4,2,7)SC=C(:,[20:320 1:19]);imshow((4*C+SC)/5,64);title('0.8*Clown + 0.2*Shifted Clown');subplot(4,2,8)imshow(BC,64) title('Blurred Clown')figure(2)MC = fliplr(BC')';subplot(2,1,1)mesh(MC)view(-10,50)xlabel('Horizontal');ylabel('Vertical');zlabel('Intensity');title('Surface plot of blurred clown');subplot(2,1,2)contour(MC,40)title('Contour plot of blurred clown')
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