design a filter that emphasizes symmetrical light-dark-light transitions in the image and suppresses asymmetrical ones using logical operations in matlab

To design a filter that emphasizes symmetrical light-dark-light transitions in the image and suppresses asymmetrical ones using logical operations in matlab, we can perform the following steps:

1. Read the input image using imread function in matlab.
2. Convert the input image to grayscale using rgb2gray function in matlab.
3. Apply a horizontal edge filter to the grayscale image using edge function in matlab.
4. Compute the absolute difference of the original image and its horizontal edge filtered image.
5. Apply a threshold to the difference image to obtain binary edge map.
6. Use logical AND operation to extract the symmetric edges from the binary edge map.
7. Subtract the symmetric edges from the binary edge map to get the asymmetric edges.

main.m
% Step 1: Read the input image
img = imread('input.jpg');

% Step 2: Convert the input image to grayscale
gray_img = rgb2gray(img);

% Step 3: Apply horizontal edge filter to the grayscale image
edge_img = edge(gray_img, 'Sobel', 'horizontal');

% Step 4: Compute the absolute difference of the original image and its horizontal edge filtered image
diff_img = imabsdiff(gray_img, edge_img);

% Step 5: Apply a threshold to the difference image to obtain binary edge map
threshold = graythresh(diff_img);
binary_img = imbinarize(diff_img, threshold);

% Step 6: Use logical AND operation to extract the symmetric edges
symmetric_edges = binary_img & flip(binary_img, 2);

% Step 7: Subtract the symmetric edges from the binary edge map to get the asymmetric edges
asymmetric_edges = binary_img - symmetric_edges;
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Now, the asymmetric_edges image contains only the edges with asymmetrical light-dark-light transitions.