You were on the right track to find the x and y coordinates of all connected neighbors of a specific pixel in an image. I've made a few enhancements to the script to improve its functionality:
1. I've introduced a threshold to determine when the intensity differences between the pixel of interest and its neighbors are small enough to consider them connected. This helps in accurately identifying connected pixels based on intensity similarity.
2. I've added boundary checks to ensure that the neighbor pixel indices are within the bounds of the image. This step is crucial for preventing errors when accessing pixel values, especially at the edges of the image.
You can refer to the attached code snippet below for a clearer understanding:
function connectedNeighbors = findConnectedNeighbors(imagePath, pixelCoords, threshold)
I = imread(imagePath);
J = double(I);
x0 = pixelCoords(1);
y0 = pixelCoords(2);
vpoi = J(x0, y0);
neighbors = [
x0+1, y0;
x0-1, y0;
x0, y0+1;
x0, y0-1
];
connectedNeighbors = [];
for i = 1:size(neighbors, 1)
xn = neighbors(i, 1);
yn = neighbors(i, 2);
if xn > 0 && xn <= size(J, 1) && yn > 0 && yn <= size(J, 2)
vn = J(xn, yn);
a = abs(vn - vpoi);
if a <= threshold
connectedNeighbors = [connectedNeighbors; xn, yn];
end
end
end
end
Hope this works for you!
