Kizspy | Question: 6
(Choose 1 answer)
When designing your own kernel for edge detection, what is an important consideration when choosing the
weights within the kernel?
A. Assigning the highest weight to the center pixel ensures the most accurate gradient calculation.
B. The weights should be chosen to emphasize the type of edge you want to detect (e.g., stronger weights for
sharper edges).
C. All weights within the kernel must be negative to achieve effective edge detection.
D. Using a random distribution of weights often leads better edge detection results.
