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Image Processing: Image Noise and Gradients

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Image Processing: Image Noise and Gradients

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Questions and Answers

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?

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?

∂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?

It is more computationally efficient than the continuous Laplacian operator Signup and view all the answers

Why is the zero-crossing method sensitive to noise?

Because it is based on the second derivative of the image function Signup and view all the answers

What is the primary effect of 1st order derivatives on an image?

Thicker edges Signup and view all the answers

What is the primary advantage of the Canny Edge Detector?

Low error rate of detection and good localization of edges Signup and view all the answers

What is the purpose of the non-maximum suppression stage in the Canny Edge Detector?

To find the peaks in the image gradient Signup and view all the answers

What is the result of applying a 2nd order derivative to an image?

Double response at step changes in gray level Signup and view all the answers

What is the name of the algorithm that produces a single response for a single edge pixel?

Canny Edge Detector Signup and view all the answers

What is the purpose of the hysteresis thresholding stage in the Canny Edge Detector?

To locate edge strings Signup and view all the answers