Create a set of multiple choice questions about the details of the Canny edge detection algorithm for a undergrad course in computer vision and include the solutions.
You 11 Jan, 17:24:20
Teacherbot 11 Jan, 17:24:20
1. Canny edge detection is best suited for:
A. Lightening the contrast of an image
B. Sharpening the edges of an image
C. Detecting edges in an image
D. Morphologically transforming an image
Answer: C. Detecting edges in an image
2. What factor influences the success of Canny edge detection?
A. The lighting of the image
B. The size of the Gaussian kernel
C. The variance of the kernel
D. The brightness of the image
Answer: B. The size of the Gaussian kernel
3. What is the ratio between low and high thresholds used by the Canny edge detection algorithm?
Answer: C. 2:1