matlab实现序列的RandAugment操作

RandAugment是一种数据增强技术，可以随机选择一系列增强操作来增加数据的多样性，从而提高模型的泛化能力。下面是使用MATLAB实现RandAugment操作的示例代码：

% RandAugment函数
function img = RandAugment(img, N, M)
% 参数说明：
% img: 待增强的图像
% N: 随机选择的增强操作的数量
% M: 增强操作的强度

% 可选的增强操作
ops = [
    "AutoContrast"
    "Brightness"
    "Color"
    "Contrast"
    "Equalize"
    "Invert"
    "Posterize"
    "Rotate"
    "Sharpness"
    "ShearX"
    "ShearY"
    "Solarize"
    "TranslateX"
    "TranslateY"
];

% 随机选择N个增强操作
augment_ops = ops(randperm(length(ops), N));

% 对图像进行增强操作
for i = 1:N
    op = augment_ops(i);
    img = apply_augmentation(img, op, M);
end
end

% apply_augmentation函数
function img = apply_augmentation(img, op, M)
% 参数说明：
% img: 待增强的图像
% op: 增强操作名称
% M: 增强操作的强度

switch op
    case "AutoContrast"
        img = autocontrast(img, M);
    case "Brightness"
        img = brightness(img, M);
    case "Color"
        img = color(img, M);
    case "Contrast"
        img = contrast(img, M);
    case "Equalize"
        img = equalize(img, M);
    case "Invert"
        img = invert(img, M);
    case "Posterize"
        img = posterize(img, M);
    case "Rotate"
        img = rotate(img, M);
    case "Sharpness"
        img = sharpness(img, M);
    case "ShearX"
        img = shearx(img, M);
    case "ShearY"
        img = sheary(img, M);
    case "Solarize"
        img = solarize(img, M);
    case "TranslateX"
        img = translatex(img, M);
    case "TranslateY"
        img = translatey(img, M);
end
end

% 自动对比度增强
function img = autocontrast(img, ignore)
img = imadjust(img, [], [], 1);
end

% 亮度增强
function img = brightness(img, magnitude)
img = imadjust(img, [], [], magnitude);
end

% 颜色增强
function img = color(img, magnitude)
img = imadjust(img, [0, 1], [(1-magnitude), magnitude], 1);
end

% 对比度增强
function img = contrast(img, magnitude)
img = imadjust(img, [], [], magnitude);
end

% 直方图均衡化
function img = equalize(img, ignore)
img = histeq(img);
end

% 反色
function img = invert(img, ignore)
img = imcomplement(img);
end

% 色调分离
function img = posterize(img, magnitude)
img = imquantize(img, round(255/magnitude));
end

% 旋转
function img = rotate(img, magnitude)
angle = (magnitude*30) - 15;
img = imrotate(img, angle, "bilinear", "crop");
end

% 锐化
function img = sharpness(img, magnitude)
img = imsharpen(img, "Amount", magnitude);
end

% X方向错切
function img = shearx(img, magnitude)
shear = (magnitude*0.3) - 0.15;
tf = affine2d([1, shear, 0; 0, 1, 0; 0, 0, 1]);
img = imwarp(img, tf, "bilinear", "FillValues", 128);
end

% Y方向错切
function img = sheary(img, magnitude)
shear = (magnitude*0.3) - 0.15;
tf = affine2d([1, 0, 0; shear, 1, 0; 0, 0, 1]);
img = imwarp(img, tf, "bilinear", "FillValues", 128);
end

% 颜色反转
function img = solarize(img, magnitude)
threshold = round((1-magnitude) * 255);
img(img < threshold) = 255 - img(img < threshold);
end

% X方向平移
function img = translatex(img, magnitude)
tx = (magnitude*20) - 10;
tf = affine2d([1, 0, 0; 0, 1, 0; tx, 0, 1]);
img = imwarp(img, tf, "bilinear", "FillValues", 128);
end

% Y方向平移
function img = translatey(img, magnitude)
ty = (magnitude*20) - 10;
tf = affine2d([1, 0, 0; 0, 1, 0; 0, ty, 1]);
img = imwarp(img, tf, "bilinear", "FillValues", 128);
end

使用示例：

% 读取图像
img = imread("image.jpg");

% 进行RandAugment增强
img = RandAugment(img, 3, 3);

% 显示增强后的图像
imshow(img);