用matlab写randaugment

RandAugment是一种数据增强技术，旨在增强训练集中的多样性，从而提高模型的泛化能力。它使用随机选择的多个数据增强方法来增强每个图像，从而创建一个更大的训练集。下面是MATLAB的实现代码：

function augmentedImage = randAugment(originalImage)
% Define the maximum values for magnitude and count of augmentations
MAX_MAGNITUDE = 10;
MAX_COUNT = 3;

% Define the list of augmentations to choose from
augmentations = {
    'AutoContrast'
    'Brightness'
    'Color'
    'Contrast'
    'Equalize'
    'Invert'
    'Posterize'
    'Sharpness'
    'Solarize'
};

% Randomly select the number of augmentations to apply
numAugmentations = randi(MAX_COUNT);

% Randomly select the magnitude for each augmentation
magnitudes = randi(MAX_MAGNITUDE, [numAugmentations, 1]);

% Apply the selected augmentations to the original image
augmentedImage = originalImage;
for i = 1:numAugmentations
    % Randomly select an augmentation from the list
    augmentation = augmentations{randi(numel(augmentations))};
    
    % Apply the augmentation with the selected magnitude
    augmentedImage = augmentImage(augmentedImage, augmentation, magnitudes(i));
end

end

function augmentedImage = augmentImage(originalImage, augmentation, magnitude)
% Apply the specified augmentation to the original image with the specified magnitude

switch augmentation
    case 'AutoContrast'
        augmentedImage = imadjust(originalImage);
        
    case 'Brightness'
        augmentedImage = imadjust(originalImage, [], [], magnitude);
        
    case 'Color'
        augmentedImage = imadjust(originalImage, [], [], [], magnitude);
        
    case 'Contrast'
        augmentedImage = imadjust(originalImage, [], [], magnitude);
        
    case 'Equalize'
        augmentedImage = histeq(originalImage);
        
    case 'Invert'
        augmentedImage = imcomplement(originalImage);
        
    case 'Posterize'
        augmentedImage = posterize(originalImage, magnitude);
        
    case 'Sharpness'
        augmentedImage = imsharpen(originalImage, 'Amount', magnitude);
        
    case 'Solarize'
        augmentedImage = solarize(originalImage, magnitude);
        
    otherwise
        error('Unknown augmentation: %s', augmentation);
end

end

function posterizedImage = posterize(originalImage, numBits)
% Posterize the image to the specified number of bits per color channel

if numBits > 8
    error('Number of bits must be 8 or less');
end

numLevels = 2^numBits;
posterizedImage = uint8(floor(double(originalImage)/(256/numLevels))*(256/numLevels));

end

function solarizedImage = solarize(originalImage, threshold)
% Solarize the image with the specified threshold

if threshold > 255
    error('Threshold must be 255 or less');
end

solarizedImage = originalImage;
solarizedImage(originalImage > threshold) = 255 - originalImage(originalImage > threshold);

end

这个实现使用了MATLAB的图像处理工具箱函数来实现各种增强方法。您可以根据需要添加、修改或删除增强方法，以创建自己的RandAugment实现。