Image processcing and computer vision questions. Explain why each question is ei
ID: 3906433 • Letter: I
Question
Image processcing and computer vision questions.
Explain why each question is either true or False. Please Explain do not just tell me it is true or false.
1.The Laplacian-of-Gaussian (LoG) operator performs both smoothing and differentiation
2.The lower the frequency of a sinusoidal, the more samples must be taken to gain an accurate representation of the wave.
3.The Laplacian operator can be used for estimating edge direction.
4.The Hough transform of a point in the image space is a point in the Hough space.
5.Otsu’s method makes no assumptions about histogram shape.
6.The Nyquist theorem applies to band-limited functions only.
7.A gradient magnitude of zero at a given pixel implies that the Laplacian at this pixel is also zero.
8.Median filtering is a sharpening filter.
9.The magnitude of the FT carries more information than its phase.
10.The first step in edge detection is differentiation (i.e., enhancement).
Explanation / Answer
Answer)
1) True. So as to reduce the sensitivity to noice the smoothening is needed and also to reduce the high frequency of the noise differentiation is needed.
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