Sharpening Spatial Filters MCQ

1. The principle objective of Sharpening, to highlight transitions is ___________________.
a) Pixel density
b) Composure
c) Intensity
d) Brightness


2. How can Sharpening be achieved?
a) Pixel averaging
b) Slicing
c) Correlation
d) None of the mentioned



3. What does Image Differentiation enhance?
a) Edges
b) Pixel Density
c) Contours
d) None of the mentioned


4. What does Image Differentiation de-emphasize?
a) Pixel Density
b) Contours
c) Areas with slowly varying intensities
d) None of the mentioned


5. The requirements of the First Derivative of a digital function:
a) Must be zero in areas of constant intensity
b) Must be non-zero at the onset of an intensity step
c) Must be non-zero along ramps
d) All of the Mentioned


6. What is the Second Derivative of Image Sharpening called?
a) Gaussian
b) Laplacian
c) Canny
d) None of the mentioned


7. The ability that rotating the image and applying the filter gives the same result, as applying the filter to the image first, and then rotating it, is called ______________________.
a) Isotropic filtering
b) Laplacian
c) Rotation Invariant
d) None of the mentioned


8. For a function f(x,y), the gradient of ‘f’ at coordinates (x,y) is defined as a ____________________.
a) 3-D row vector
b) 3-D column vector
c) 2-D row vector
d) 2-D column vector


9. Where do you find frequent use of Gradient?
a) Industrial inspection
b) MRI Imaging
c) PET Scan
d) None of the mentioned


10. Which of the following occurs in Unsharp Masking?
a) Blurring original image
b) Adding a mask to original image
c) Subtracting blurred image from original
d) All of the mentioned