canny

], mag[i + 1, j]] else: neighbors = [mag[i - 1, j - 1], mag[i + 1, j + 1]] Suppress if not a local maximum if magnitude_current >= max(neighbors): suppressed[i, j] = magnitude_current else: suppressed[i, j] = 0 return suppressed ``` Double Thresholding Classify pixels as strong, weak, or non-edge

% (Implementation involves checking neighboring pixels) ``` Features: Finalizes edge detection. Eliminates isolated weak edges. Pros/Cons: Pros: Ensures continuous edges. Cons: Computationally intensive if implemented naively. Features and

a^2}} \] where \( \sigma \) is the standard deviation controlling the degree of smoothing. Mathematical Insights: The choice of \( \sigma \) balances noise reduction and edge preservation. The convolution ope