FRACTAL DIMENSTION MODEL MATLAB

[Hussain83kw]

Calculates fractional dimension and visual complexity, with data and image outputs. Fractal Dimension Model (FDM).zip

[Hussain83kw]

% Function 1: Image Preprocessing % Read the image A = imread("Import Image");

% Convert the image to grayscale B = rgb2gray(A);

% Apply Canny edge detection to the grayscale image K = edge(B, 'canny');

% Convert the grayscale image to double C = im2double(B);

% Binarize the grayscale image img_bw = imbinarize(B);

% Function 2: Calculate Box Counting [N, R] = boxcount(img_bw);

% Function 3: Calculate Fractal Dimension FD = -diff(log(N)) ./ diff(log(R));

% Display the Fractal Dimension disp('Fractal Dimension (FD):'); mean_FD = mean(FD); disp(['Mean Fractal Dimension (FD): ', num2str(mean_FD)]);

% Function 4: Create a figure to display the images figure; subplot(2, 2, 1); imshow(A); title('Original Image');

subplot(2, 2, 2); imshow(B, []); title('Grayscale Image');

subplot(2, 2, 3); imshow(img_bw, []); title('Binarized Image');

subplot(2, 2, 4); imshow(K); title('Canny Edge Detection');

% Function 5: Plot Fractal Dimension figure; plot(FD, 'LineWidth', 2); xlabel('Number of Values'); ylabel('Fractal Dimension (FD)'); title('Fractal Dimension Plot');

% Function 6: Automatic Classification of Visual Complexity if mean_FD >= 1 && mean_FD < 1.4 visualComplexity = 'Low Visual Complexity (Low Texture and Low Composition or Low Texture and High Composition)'; elseif mean_FD >= 1.4 && mean_FD < 1.5 visualComplexity = 'Moderate Visual Complexity'; elseif mean_FD >= 1.5 && mean_FD <= 2 visualComplexity = 'High Visual Complexity (High Texture and Low Composition or High Texture and High Composition)'; else visualComplexity = 'Undefined Visual Complexity'; end

% Display Classification Results disp(['Visual Complexity Classification: ', visualComplexity]);