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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');
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