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Paper Id: 110253
Sub Code: NCS801
Roll No.
Time: 3 Hours
B.TECH
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(SEM VIII) THEORY EXAMINATION 2018-19
DIGITAL IMAGE PROCESSING
Note: Attempt all Sections. If require any missing data; then choose suitably.
SECTION A
- Attempt all questions in brief.
- Define components of image processing system.
- Name some applications of digital image processing.
- Write down mask of Sobel filter.
- Differentiate between image enhancement and restoration.
- Explain Laplacian filter.
- Define Dilation Process.
- What is the use of Boundary Extraction?
- Define morphological image processing.
- What is geometric transformation?
- What are first order derivative filters?
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2 x 10 = 20
SECTION B
- Attempt any three of the following:
- Consider the image segment shown.
3 2 1 1
2 (p) 1 1 0--- Content provided by FirstRanker.com ---
1 0 1 2
Take V={0,1} and compute the lengths of shortest 4-,8-, and m-path between p and q. If a particular path does not exist between these two points, explain why
(i) the lengths of shortest 4-,8-, and m-path
(ii) Repeat for V={1,2} - What are the linear and non-linear smoothing filters in spatial domain? Compute the new pixel values after applying the 3x3 box filter on the following 5x5 matrix of a 3-bit image.
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2 3 7 0 7
6 4 4 1 5
1 3 2 2 3
4 5 0 6 4
6 1 7 6 4 - Explain edge detection and edge linking. Also write the difference between edge detection and edge linking.
- What is image restoration? Explain in detail the image restoration in presence of noise only.
- Explain the following morphological operations: i. Opening ii. Closing iii. Region Filling.
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- Consider the image segment shown.
3 x 10 = 30
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SECTION C
- Attempt any one part of the following:
- Explain low level, mid level and high level image processing. Also explain sampling and quantization process.
- Explain the process of filtering in frequency domain. Discuss low pass and high pass frequency domain filters.
10 x 1=10
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- Attempt any one part of the following:
- Explain piecewise linear transformations of image enhancement with suitable example.
- Write notes on: i. Bit plane slicing ii. Homomorphic Filter iii. Image histogram
10 x 1=10
- Attempt any one part of the following:
- Discuss order statics filters with suitable example.
- Explain the process of minimum mean square error restoration.
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10 x 1=10
- Attempt any one part of the following:
- Explain thinning and thickening operation operation with suitable example.
- Prove the validity of the following:
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(A©B) = (A©B) and (A ? B).
10 x 1=10
- Attempt any one part of the following:
- Explain i. Stereo Imaging ii.Multi-level thresholding iii.Image Registration
- The so-called compass gradient operators of size 3x3 are designed to measure gradients of edges oriented in eight directions: E, NE, N, NW, W, SW, S, and SE. Give the form of these eight operators using coefficients valued 0, 1, or -1.
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10 x 1=10
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