You can measure delamination using image processing in MATLAB by following these steps:

1. Preprocessing the Image

• Convert the image to grayscale:img = imread('your_image.jpg'); gray_img = rgb2gray(img);
• Apply noise reduction (if needed):filtered_img = medfilt2(gray_img, [3 3]);

2. Edge Detection

• Use edge detection to highlight delaminated areas:edges = edge(filtered_img, 'Canny');

3. Region Segmentation

• Use thresholding or adaptive thresholding:bw = imbinarize(filtered_img, 'adaptive', 'Sensitivity', 0.5);
• Alternatively, use morphological operations:bw = imopen(bw, strel('disk', 2));

4. Feature Extraction

• Label and analyze connected components:stats = regionprops(bw, 'Area', 'BoundingBox', 'Eccentricity');
• Measure delaminated area:total_area = sum([stats.Area]);

5. Overlay Results on Original Image

• Draw bounding boxes around detected regions:imshow(img); hold on; for k = 1:length(stats) rectangle('Position', stats(k).BoundingBox, 'EdgeColor', 'r', 'LineWidth', 2); end hold off;
• WARM REGARDS SHAHER YAR KHAN