用matlab做纹理合成,图像纹理合成的matlab例程

纹理合成是一种将多个图像中的纹理组合成一个新的图像的技术。在MATLAB中实现纹理合成需要使用图像处理工具箱中的函数和算法。

下面是一个简单的MATLAB例程，展示了如何使用纹理合成算法来创建一个新的纹理图像。

% Load the source texture image
source_image = imread('source_texture.jpg');

% Load the target image
target_image = imread('target_image.jpg');

% Define the patch size for the texture synthesis
patch_size = 25;

% Define the number of iterations for the synthesis algorithm
num_iterations = 500;

% Perform the texture synthesis
synthesized_texture = texture_synthesis(source_image, target_image, patch_size, num_iterations);

% Display the synthesized texture
imshow(synthesized_texture);

% Save the synthesized texture to a file
imwrite(synthesized_texture, 'synthesized_texture.jpg');

% Texture synthesis function
function synthesized_texture = texture_synthesis(source_image, target_image, patch_size, num_iterations)

    % Convert the source and target images to grayscale
    source_image = rgb2gray(source_image);
    target_image = rgb2gray(target_image);

    % Calculate the size of the synthesized texture
    num_rows = size(target_image, 1);
    num_cols = size(target_image, 2);

    % Initialize the synthesized texture with random noise
    synthesized_texture = uint8(rand(num_rows, num_cols) * 255);

    % Define the search window size for patch matching
    search_window_size = 50;

    % Define the weight for the patch matching and texture synthesis terms
    alpha = 0.5;

    % Loop through the specified number of iterations
    for i = 1:num_iterations

        % Find the best matching patch in the source image for each patch in the synthesized texture
        for r = 1:patch_size:num_rows-patch_size+1
            for c = 1:patch_size:num_cols-patch_size+1

                % Get the current patch from the synthesized texture
                current_patch = synthesized_texture(r:r+patch_size-1, c:c+patch_size-1);

                % Find the best matching patch in the source image
                best_patch = find_best_patch(source_image, current_patch, search_window_size);

                % Replace the current patch in the synthesized texture with the best matching patch
                synthesized_texture(r:r+patch_size-1, c:c+patch_size-1) = best_patch;

            end
        end

        % Apply the texture synthesis term to the synthesized texture
        synthesized_texture = alpha * synthesized_texture + (1-alpha) * target_image;

        % Display the current iteration
        disp(['Iteration ', num2str(i), ' of ', num2str(num_iterations)]);

    end

end

% Patch matching function
function best_patch = find_best_patch(source_image, current_patch, search_window_size)

    % Calculate the size of the source image
    num_rows = size(source_image, 1);
    num_cols = size(source_image, 2);

    % Initialize the best patch and its error to be infinite
    best_patch = zeros(size(current_patch));
    best_error = Inf;

    % Loop through the search window
    for r = 1:search_window_size:num_rows-search_window_size+1
        for c = 1:search_window_size:num_cols-search_window_size+1

            % Get the current patch from the source image
            source_patch = source_image(r:r+size(current_patch,1)-1, c:c+size(current_patch,2)-1);

            % Calculate the error between the current patch and the source patch
            error = sum(sum(abs(current_patch - source_patch)));

            % Update the best patch and its error if the current patch is a better match
            if error < best_error
                best_patch = source_patch;
                best_error = error;
            end

        end
    end

end

这个例程实现了基本的纹理合成算法，并使用了MATLAB的图像处理工具箱中的函数和算法。在实践中，你可以根据需要进行修改和扩展，以适应不同的纹理合成场景。