give code for data augmentation of image database in matlab

In MATLAB, you can use the imwarp function along with various other image processing functions to perform data augmentation on an image database. Here's a basic example of how you can perform data augmentation on a set of images:

main.m
% Load the image database
imageFiles = dir('path/to/image/database/*.jpg'); % replace with the path to your image database
numImages = length(imageFiles);

% Loop through each image in the database
for i = 1:numImages
    % Read the image
    image = imread(fullfile(imageFiles(i).folder, imageFiles(i).name));
    
    % Apply data augmentation operations
    % Example operations:
    
    % 1. Rotate the image
    angle = randi([-10, 10]); % random rotation angle between -10 and 10 degrees
    rotatedImage = imrotate(image, angle, 'bicubic', 'crop');
    
    % 2. Flip the image horizontally
    flipProb = rand; % random probability for flipping (0 or 1)
    if flipProb > 0.5
        flippedImage = flip(image, 2);
    else
        flippedImage = image;
    end
    
    % 3. Add Gaussian noise to the image
    noiseVar = 0.01; % variance of the Gaussian noise
    noisyImage = imnoise(image, 'gaussian', 0, noiseVar);
    
    % Save the augmented images
    % You can modify the filenames and folder path as per your requirements
    imwrite(rotatedImage, sprintf('path/to/save/rotated_%d.jpg', i));
    imwrite(flippedImage, sprintf('path/to/save/flipped_%d.jpg', i));
    imwrite(noisyImage, sprintf('path/to/save/noisy_%d.jpg', i));
end
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In this example, we apply three different data augmentation techniques to each image in the database: rotation, flipping, and adding Gaussian noise. You can customize these operations or add more operations as per your requirements.

Please note that this is just a basic example, and there are many other data augmentation techniques you can apply depending on your specific dataset and objectives.

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