Spatial Filtering Fundamentals Quiz
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Questions and Answers

What is the main difference between spatial correlation and spatial convolution?

  • The padding method used
  • The sum of products computation
  • The rotation angle of the kernel (correct)
  • The size of the kernel

    • How does spatial convolution handle an edge of the image when the mask partly falls outside the image?

  • Rotate the kernel
  • Ignore the edges
  • Replicate padding
  • Mirror padding/symmetric (correct)

    • What happens if a kernel used in spatial filtering is asymmetric about its center?

  • Spatial correlation and convolution will give different results (correct)
  • The filtering process fails
  • The output is larger than the original
  • The output is smaller than the original

    • Which type of filter is used to enhance edges and high-frequency components in an image?

    <p>Highpass filter</p> Signup and view all the answers

    In linear spatial filtering, what does a highpass filter mainly emphasize in an image?

    <p>Details and edges</p> Signup and view all the answers

    What does zero padding refer to in spatial filtering?

    <p>Setting all values outside the image to zero</p> Signup and view all the answers

    What is the purpose of smoothing filters in image processing?

    <p>To smooth out false contours caused by insufficient intensity levels</p> Signup and view all the answers

    What is the key difference between high frequency and low frequency components in an image?

    <p>High frequency components have large changes in gray values over small distances, while low frequency components have little changes in gray values over small distances.</p> Signup and view all the answers

    What is the purpose of a low-pass filter in image processing?

    <p>To pass over the low frequency components and reduce or eliminate the high frequency components</p> Signup and view all the answers

    What is the key property of linear spatial filtering?

    <p>It involves convolving an image with a filter kernel</p> Signup and view all the answers

    What is the main parameter that determines the degree of blurring in a smoothing filter?

    <p>Both the size and values of the kernel coefficients</p> Signup and view all the answers

    What is the key property of the box filter kernel?

    <p>It has a separable, rectangular coefficient distribution</p> Signup and view all the answers

    What is the primary purpose of spatial filtering in image processing?

    <p>To modify the image by replacing each pixel value with a function of its neighbors</p> Signup and view all the answers

    What is the key difference between a linear spatial filter and a nonlinear spatial filter?

    <p>Linear filters use a sum-of-products operation, while nonlinear filters do not</p> Signup and view all the answers

    What is another term used to refer to a spatial filter kernel?

    <p>Mask, template, or window</p> Signup and view all the answers

    What is the mathematical expression for a linear spatial filtering operation?

    <p>$g(x, y) = \sum_{i=-1}^{1} \sum_{j=-1}^{1} f(x+i, y+j) w(i, j)$</p> Signup and view all the answers

    What is the purpose of a smoothing (lowpass) spatial filter?

    <p>To reduce noise in the image</p> Signup and view all the answers

    What is the purpose of a sharpening (highpass) spatial filter?

    <p>To enhance the edges in the image</p> Signup and view all the answers

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