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.Otsus 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).