Untitled

WEEK 1 

1. Question: Load an image from a file and display it using MATLAB. 
Solution: 
% Load and display an image 
image = imread('example.jpg'); % Replace 'example.jpg' with your image file 
imshow(image); 
title('Loaded Image'); 
 
 
 
 
 2. Question: Convert a colour image to a grayscale image. 
Solution: 
% Convert image to grayscale 
colorImage = imread('example.jpg'); % Replace 'example.jpg' with your image 
file 
grayImage = rgb2gray(colorImage); 
imshow(grayImage); 
title('Grayscale Image'); 
 
3. Question: Convert a colour image to a grayscale image without using built-in function. 
Solution: Gray=0.2989×R+0.5870×G+0.1140×B 
% Read the color image 
colorImage = imread('example.jpg'); % Replace 'example.jpg' with your image 
file 
 
% Extract the RGB components 
R = colorImage(:,:,1); % Red channel 
G = colorImage(:,:,2); % Green channel 
B = colorImage(:,:,3); % Blue channel 
 
% Compute the grayscale image using the formula 
grayImage = 0.2989 * double(R) + 0.5870 * double(G) + 0.1140 * double(B); 
 
% Convert the result to uint8 
grayImage = uint8(grayImage); 
 
% Display the grayscale image 
imshow(grayImage); 
title('Grayscale Image (Manual Conversion)'); 
 
4. Question: Resize an Image to half its original dimensions. 
Solution: 
% Load the image 
img = imread('peppers.png'); 
 
% Resize the image to half the original dimensions 
smallImg = imresize(img, 0.5); 
 
% Display the resized image 
imshow(smallImg); 
title('Resized Image'); 
 
 

WEEK 2 
1. Question: Image Rotation 
Task: Rotate an image by 45 degrees. 
Solution: 
% Load the image 
img = imread('peppers.png'); 
 
% Rotate the image by 45 degrees 
rotatedImg = imrotate(img, 45); 
 
% Display the rotated image 
imshow(rotatedImg); 
title('Rotated Image by 45 Degrees'); 
2. Question: Image Cropping 
Task: Crop a region of interest from an image. 
Solution: 
% Load the image 
img = imread('peppers.png'); 
 
% Define the cropping rectangle [x, y, width, height] 
rect = [100, 100, 200, 200]; 
 
% Crop the image 
croppedImg = imcrop(img, rect); 
 
% Display the cropped image 
imshow(croppedImg); 
title('Cropped Image'); 
3. Question 5: Perform Edge Detection 
Task: Detect edges in a grayscale image using the Sobel operator. 
Solution: 
matlab 
Copy code 
% Load the image 
img = imread('peppers.png'); 
 
% Convert to grayscale 
grayImg = rgb2gray(img); 
 
% Detect edges using the Sobel operator 
edges = edge(grayImg, 'Sobel'); 
 
% Display the edges 
imshow(edges); 
title('Edge Detection with Sobel Operator'); 
 

4. Write a script to generate negative of an image. 
% Load the image 
img = imread('peppers.png'); % Replace 'peppers.png' with your image 
file 
 
% Convert to grayscale if the image is in color 
if size(img, 3) == 3 
    img = rgb2gray(img); 
end 
 
% Calculate the negative of the image 
negativeImg = 255 - img; 
 
% Display the original image 
subplot(1, 2, 1); 
imshow(img); 
title('Original Image'); 
 
% Display the negative image 
subplot(1, 2, 2); 
imshow(negativeImg); 
title('Negative Image'); 
 
5. write a script to generate negative of an image without using in-built function. 
% Load the image 
img = imread('peppers.png'); % Replace 'peppers.png' with your image file 
 
% Convert to grayscale if the image is in color 
if size(img, 3) == 3 
    % Extract the R, G, and B channels 
    R = img(:, :, 1); 
    G = img(:, :, 2); 
    B = img(:, :, 3); 
     
    % Convert to grayscale using the luminance method 
    grayImg = 0.2989 * R + 0.5870 * G + 0.1140 * B; 
else 
    % Image is already grayscale 
    grayImg = img; 
end 
 
% Initialize the negative image 
[m, n] = size(grayImg); 
negativeImg = zeros(m, n, 'uint8'); % Create an empty matrix of the same size 
 
% Calculate the negative of the grayscale image 
for i = 1:m 
    for j = 1:n 
        negativeImg(i, j) = 255 - grayImg(i, j); 
    end 
end 
 
% Display the original grayscale image 
 

subplot(1, 2, 1); 
imshow(grayImg); 
title('Original Grayscale Image'); 
 
% Display the negative image 
subplot(1, 2, 2); 
imshow(negativeImg); 
title('Negative Image');