AKTU Digital Image Processing (NCS801) Question Paper 2017-18

Note: Attempt all Sections. If require any missing data; then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

1. Define Image. What is range?
2. What is meant by reflectance?
3. What is meant by binary image, color image, grey-scale image?
4. Explain Harmonic mean filter.
5. What is contrast stretching?
6. What do you mean by dilation and erosion?
7. Explain counter predictive coding.
8. List edge detection operators.
9. Explain affine transform.
10. Explain the concept of thresholding.

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

1. . What do you mean by digital image representation.
2. . Compare and contrast between linear spatial filtering and non linear spatial filtering.
3. . What is image restoration? Draw and explain the basic block diagram of the restoration process. Give two areas where restoration process can be applied?
4. .What do you understand by Hit-Miss Transform and why they are used explain in brief?
5. . Prove that prewitt and sobel operator act as a low pass and high pass filter.

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

1. . Explain region based segmentation with an example.
2. . Explain intensity transformations in details. What would happen to the dynamic range of an image if all the slopes in the contrast stretched algorithm (l, m, n) are less than 1? Answer using illustration.

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

1. . Explain intensity transformations in details. What would happen to the dynamic range of an image if all the slopes in the contrast stretched algorithm (l, m, n) are less than 1? Answer using illustration.
2. . Explain the Hough Transforms to join the points. And also explain the problem of HT with their solutions. Given the four points in the x-y plane with the following coordinates (1,1), (2,2),(3,3), (4,4). Use Hough Transform to join these points.

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

1. . What is Histogram Equalization ?
2. . Explain Laplacian Filter.

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

1. . Explain opening and closingoperation for gra scale image processing.
2. . describe fundamental operations of morphological image processing.

Q7

Attempt any one part of the following · 10 × 1 = 10 marks

1. . Write short note on following i- Region Extraction ii-Image Registration
2. . Write short note on following i- Edge detection Algorithm ii- Line detection Algorithm

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