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?

<p>It is more computationally efficient than the continuous Laplacian operator (A)</p> Signup and view all the answers

Why is the zero-crossing method sensitive to noise?

<p>Because it is based on the second derivative of the image function (D)</p> Signup and view all the answers

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

<p>Thicker edges (D)</p> Signup and view all the answers

What is the primary advantage of the Canny Edge Detector?

<p>Low error rate of detection and good localization of edges (A)</p> Signup and view all the answers

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

<p>To find the peaks in the image gradient (B)</p> Signup and view all the answers

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

<p>Double response at step changes in gray level (D)</p> Signup and view all the answers

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

<p>Canny Edge Detector (C)</p> Signup and view all the answers

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

<p>To locate edge strings (C)</p> Signup and view all the answers

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