vertical symmetry candidates for gradient in matlab

To vertically symmetry candidates for gradient in MATLAB, you can follow these steps:

1. Load the image you want to process using the imread function.
2. Convert the image to grayscale using the rgb2gray function.
3. Compute the gradient of the image using the imgradient function.
4. Detect the symmetry along the vertical axis using the imsum function.
5. Find the maximum index of the imsum array.
6. Compute the reflection of the image along the vertical axis using the fliplr function.

Here is the code to accomplish these steps:

main.m
% Load the image
img = imread('image.jpg');

% Convert the image to grayscale
img_gray = rgb2gray(img);

% Compute the gradient of the image
[Gx, Gy] = imgradientxy(img_gray);

% Compute the magnitude of the gradient
Gmag = hypot(Gx, Gy);

% Detect the symmetry along the vertical axis
im_sum = sum(Gmag, 2);

% Find the maximum index of the im_sum array
[~, max_idx] = max(im_sum);

% Compute the reflection of the image
img_reflected = fliplr(img);

% Show the original and reflected images side by side
imshowpair(img, img_reflected, 'montage')
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This code will show the original image and its reflection side by side, and you can see the vertical symmetry along the axis.