Question

Write a matlab code for following :

Load image ‘Balloon.tif’ into Matlab

.  Develop a function to mark all pixels in green with 1 and 0 for the rest. Display the result image

 Convert it into a grayscale image, denoted with ‘img1’ 

Create a copy of the clean grayscale image, denoted with ‘img2’, in the memory and add salt and pepper noise to it using imnoise

 Remove salt and pepper noise using function medfilt2 and display the clean (img1) and denoised image side by side (using subplot function)

 Create a copy of the clean grayscale image, denoted with ‘img3’, in the memory and add Gaussian noise using imnoise. Remove Gaussian noise using imgaussfilt

 Enhance the denoised img3 to recover the fine edges

Image link : http://tinypic.com/r/289c2t1/9

Answer 1

a.

in = imread('imin.tif');
inSize = size(in);
out = zeros (inSize(1),inSize(2));
for i=1:inSize(1)
    for j=1:inSize(2)
        if in(i,j,2)>0 && in(i,j,1)==0 && in(i,j,3)==0
            out(i,j) = 1;
        end
    end
end

imShow(out); %part a

img1 = rgb2gray(in);
img2 = imnoise(img1,'salt & pepper',0.08); %part b
k=medfilt2(img2);

figure
subplot(1,2,1);
imshow(img1);

subplot(1,2,2);
imshow(k); %part c

img3 = imnoise(img1,'gaussian',0,0.01);
x = imgaussfilt(img3); %part d
y = imsharpen(x); %part e