 edge detection algorithm is a multi-stage process that identifies edges
in an image by detecting areas with significant intensity changes. It was developed
by John F. Canny (1986) and remains widely used in computer vision.</p>
<p><strong>Steps of the Canny Algorithm:</strong></p>
<ol class="arabic simple">
<li><p>Gradient Computation â€“ Detects intensity changes.</p></li>
<li><p>Non-Maximum Suppression â€“ Removes non-edge pixels.</p></li>
<li><p>Double Thresholding â€“ Filters weak