Podcast
Questions and Answers
What is the primary function of the gradient operator in image processing?
What is the primary function of the gradient operator in image processing?
- To smooth out noise in the image
- To enhance the contrast of the image
- To detect abrupt changes in image intensity (correct)
- To detect slow changes in image intensity
What is the purpose of the Laplacian operator in image processing?
What is the purpose of the Laplacian operator in image processing?
- To detect local extreme values in an image (correct)
- To threshold the image
- To detect edges in an image
- To blur the image
What is the mathematical representation of the Laplacian operator?
What is the mathematical representation of the Laplacian operator?
- ∂f/∂x - ∂f/∂y
- ∂²f/∂x∂y
- ∂²f/∂x² + ∂²f/∂y² (correct)
- ∂f/∂x + ∂f/∂y
What is the advantage of using the discrete Laplacian operator in image processing?
What is the advantage of using the discrete Laplacian operator in image processing?
Why is the zero-crossing method sensitive to noise?
Why is the zero-crossing method sensitive to noise?
What is the primary effect of 1st order derivatives on an image?
What is the primary effect of 1st order derivatives on an image?
What is the primary advantage of the Canny Edge Detector?
What is the primary advantage of the Canny Edge Detector?
What is the purpose of the non-maximum suppression stage in the Canny Edge Detector?
What is the purpose of the non-maximum suppression stage in the Canny Edge Detector?
What is the result of applying a 2nd order derivative to an image?
What is the result of applying a 2nd order derivative to an image?
What is the name of the algorithm that produces a single response for a single edge pixel?
What is the name of the algorithm that produces a single response for a single edge pixel?
What is the purpose of the hysteresis thresholding stage in the Canny Edge Detector?
What is the purpose of the hysteresis thresholding stage in the Canny Edge Detector?
