With Hafiz Syed Muhammad Rafi

Introduction to Image: Fundamentals Introduction to Image: Image as matrix Image Type Image Class Image Size Image Resolution Read: kid=imread('kid02.jpg'); Image Info: info=imfinfo('kid02.jpg'); or whos kid; [r c]=size(kid); Display: figure; imshow(kid);

Conversion of Class and Type: Write on Disk: imwrite(kid,'kid02gray.png'); imwrite(kid,'kid02gray.jpg’,’quality’,75); % (0:100) imwrite(kid,'kid02gray.tif’,’compression’,’none’,‘resolution’,[m n]); Conversion of Class and Type: B=logical(A); C=im2bw(T); F=Im2double(g); G=im2uint8(H); Image Arithmatic: C=imadd(A,B); C=imsubtract(A,B); C=immultiply(A,B); C=imdivide(A,B); C=imabsdiff(A,B); C=imcomplement(A); 3

Image Flipping and Sizing: C=F(end:-1:1,:); C=F(:, end:-1:1); C=F(1:2:end,1:2:end); Image Cropping: C=F(50:end-20, 50:end-40); Pixel Information Direct: impixelinfo; imdistline; Color Image to Gray: C=rgb2gray(F);

Spatial Domain Processing Histograms H=imhist(A,nbins); H=imhist(A,nbins)/numel(A); % normalized histogram H=histeq(A,nbins); % histogram equalization I = imread('pout.tif'); imhist(I) I2 = histeq(I); imhist(I2) Figure, imshow([I I2])

END MS Image Processing 6