Image Processing and Pattern Recognition

breezebongΤεχνίτη Νοημοσύνη και Ρομποτική

6 Νοε 2013 (πριν από 3 χρόνια και 11 μήνες)

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POKHARA UNI VERSI TY


Level: Bachelor

Semester


Fall

Year : 200
7

Programme:
BE

Full Marks : 100

Course:
Image Processing and Pattern Recognition

Time : 3hrs.


Candidates are required to give their answers in their own words as far
as

practicable.

The figures in the margin indicate full marks.

Attempt all the questions.



1.

a)
Draw the block diagram of a typical image processing system and explain
it. What are the applications of digital image processing?

b) What is discrete cosine

transform and how can you apply it in digital
image processing? Explain the properties of DCT.

8


7

2.

a)
What is contrast stretching? Explain its algorithm.

b) Briefly explain the following image enhancement technique in spatial
domain.

i) Histogram
s
pe
cification

ii) Intensity level slicing

iii) Digital ne
g
ative

7

8

3.

a)
What is an edge detection filter? Derive the equation for Laplacian filter
and explain
.

b) What is Hadamard Transform? Explain the algorithm and properties of
Hadamard Transform.

7


8

4.

a)
Explain image segmentation by threshold method.

b) What is Hough transform? How it is useful in line detection.

8

7

5.

a)

Explain various components of pattern recognition and also explain
template based pattern recognition.

b) What is feature extr
action? Mention various features of an image.
Explain any one spatial feature extraction technique.

7


8

6.

a)
Explain single layer perception. Give some application of neural network
to pattern recognition.

b)
What do you understand by image data compres
sion? Explain any one
technique for image data compression.

8


7

7.

Write
s
hort notes on

(
Any Two
)
:

a)

Redundancy in digital image

b)

Nearest Neighbour Classifier

c)

Hopfield network

5

2