1. “For a very large value of A, a high boost filtered image is approximately equal to the original image”. State whether the statement is true or false?
A. True
B. False
2. Subtracting Laplacian from an image is proportional to which of the following?
A. Unsharp masking
B. Box filter
C. Median filter
D. None of the mentioned
3. A First derivative in image processing is implemented using which of the following given operator(s)?
A. Magnitude of the Gradient vector
B. The Laplacian
C. All of the mentioned
D. None of the mentioned
4. If for an image function f(x, y), the magnitude of gradient vector is given by: mag(∇f)=[G2x+G2y] (1/2), then which of the following fact is correct?
A. The component of the Gradient vector is a linear operator and also the magnitude of the vector
B. The component of the Gradient vector is a linear operator, but the magnitude is not
C. The component of the Gradient vector are nonlinear operators and also the magnitude of the vector
D. The component of the Gradient vector are nonlinear operators, but the magnitude is not
5. What is the sum of the coefficient of the mask defined using gradient?
A. 1
B. -1
C. 0
D. None of the mentioned
6. Gradient is used in which of the following area(s)?
A. To aid humans in the detection of defects
B. As a preprocessing step for automated inspections
C. All of the mentioned
D. None of the mentioned
7. Gradients have some important features. Which of the following are/are some of them?
A. Enhancing small discontinuities in an otherwise flat gray field
B. Enhancing prominent edges
C. All of the mentioned
D. None of the mentioned
8. An image has significant edge details. Which of the following fact(s) is/are true for the gradient image and the Laplacian image of the same?
A. The gradient image is brighter than the Laplacian image
B. The gradient image is brighter than the Laplacian image
C. Both the gradient image and the Laplacian image have equal values
D. None of the mentioned
9. The expression [∂2 f(x,y)/∂x2 +∂2 f(x,y)/∂y2] is considered as _________ where f(x, y) is an input image.
A. Laplacian of f(x, y)
B. Gradient of f(x, y)
C. All of the mentioned
D. None of the mentioned
10. If the Laplacian in the frequency domain is:
A. Laplacian operation
B. Filtering operation
C. Shift operation
D. None of the mentioned