csc332

Image Processing

Hard Exam Preparation: 5 days
Question Papers (6)
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FM: 60 PM: 24

Image Processing

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Section A

Answer any two questions.

1

What is 8-neighborhood? An image has the following histogram, stretch to the whole dynamic range using histogram equalization. [2 + 8]

Gray level 0 1 2 3 4 5 6 7
Frequency 0 350 0 200 300 150 0 0

 

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2

How do you detect edges using Gradient and Laplacian filters? Explain. [10]

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3

Define dilation and erosion. From the following probability distribution construct the Huffman code for each gray level. [3 + 7]

Gray level 0 1 2 3 4 5
P(r) 0.50 0.10 0.25 0.15 0.30 0.15

 

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Section B

Answer any eight questions.

4

What is image enhancement? Explain Hadamard transformation with its properties. [1 + 4]

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5

Using Hough Transform show that the points (1,1), (2,2), and (3,3) are collinear and find the equation of the line. [5]

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6

Define chain code. How can you make chain code rotation and scaling invariant? [2 + 3]

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7

Explain the different steps in digital image processing. [5]

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8

Explain different types of frequency domain low-pass filters with expressions. [5]

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9

Describe the properties of DFT. [3]

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10

Define pattern and pattern recognition system. Explain the issues with feature selection. [3 + 2]

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11

What is image restoration? Discuss any two noise models. [1 + 4]

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12

How do you split and merge the region? Explain. [5]

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