No. of Printed Pages : 4

MMTE-003

r.,-) M.Sc. (MATHEMATICS WITH APPLICATIONS IN COMPUTER SCIENCE) 00 M.Sc. (MACS) Term-End Examination June, 2012 MMTE-003 : PATTERN RECOGNITION AND IMAGE PROCESSING Maximum Marks : 50

Time : 2 hours

Note : Attempt any five questions. Each question carries equal marks.

1.

(a) Explain why discrete histogram 3 equalization does not in general yield a flat histogram ? (b)

Show that a second pass of histogram equalization will produce exactly the same result as the first pass.

3

(c)

Propose a gray level slicing algorithm capable of producing the 2-nd bit plane of an 8-bit monochrome image.

4

MMTE-003

1

P.T.O.

2.

(a) Given that : 1

5

M —1 N-1

g(x, y) -

(m, n)h(x + m, y + n)} m=0 n=0

where f and g are real images and h is a spatial filter : obtain G(u, v), in terms of F(u, v), and H(u, v), the 2-D Fourier transform of g(x, y). (b) Describe homomorphic filtering. Explain why the filtering scheme is effective for the applications it is used. 3.

(a) Explain in detail the adaptive mean and median filters. (b) Obtain mean and variance of the following noise pdfs : (i)

P(Z) =

{tie-az ; Z 0 0 ;Z<0

1 ;tz_sZb p(Z) = {b - a 0 ; otherwise (iii)

MMTE-003

Pa ; Z = a P(Z) = Pb ; Z = b 0 ; otherwise 2

5

4 6

4.

5.

(a) Using 0, 1 or —1 as coefficient values give the form for eight operators that measure gradients of edges oriented in eight directions : E, NE, N, NW, W, SW, S and SE. Specify the gradient direction of each mask.

6

(b) Explain the Graph Theoretic technique for edge detection and linking.

4

(a) Explain in detail Otsu's method for global thresholding.

5

(b) A bullet is 2.5 cm long, 1 cm wide and its range of speed is 750 ± 250 m/s. The bullet in flight is captured by a camera that exposes the scene for K sec and the bullet occupies 10% of the horizontal resolution of 256 x 256 frames.

5

Propose methods for :

6.

(i)

Automatic segmentation of the bullet.

(ii)

Automatic determination of speed of the bullet.

(a) Explain the Lempal - Ziv - Welch coding algorithm. What types of redundancies does it remove ?

MMTE-003

3

5

P.T.O.

(b) Apply the perceptron algorithm to the following pattern classes : W1 =1(0,0,0)T, (1,0,0)T, (1,0,1)T, (1,1,0)T1. W2 = f(0,0,1)T, (0,1,1)T, (0,1,0)T, (1,1,1)11. Let C=1 and W(1) = (-1, —2, —2, 0)T. Sketch the decision surface.

MMTE-003

4

5

Pattern Recognition and Image Processing.PDF

why the filtering scheme is effective for the. applications it is used. 3. (a) Explain in detail the adaptive mean and 4. median filters. (b) Obtain mean and variance ...

26KB Sizes 5 Downloads 239 Views

Recommend Documents

Pattern Recognition and Image Processing.pdf
use for histogram equalization ? 2. (a) Briefly explain the following : (i) Unsharp marking. (ii) High boost filtering. 6. 4. MMTE-003 1 P.T.O.. Page 1 of 3 ...

Image normalization for pattern recognition - National Taiwan University
resulting pattern becomes compact, which we call the compact image. We shall .... where fuy(u, v) is the p.d.f of the distorted image and C denotes the region we ...

Pattern Recognition
Balau 1010. Balau 1011 ..... sion, and therefore the computation takes very long. However tests on the .... Distance (d) is fixed to 1 and the information extracted.

Svensen, Bishop, Pattern Recognition and Machine Learning ...
Svensen, Bishop, Pattern Recognition and Machine Learning (Solution Manual).pdf. Svensen, Bishop, Pattern Recognition and Machine Learning (Solution ...

Structural pattern recognition
Processing of such huge image databases and retrieving the hidden patterns (or features) ... New data retrieval methods based on structural pattern recognition ...

Pattern recognition Notes 1.pdf
J. Corso (SUNY at Buffalo) Introduction to Pattern Recognition 15 January 2013 4 / 41. Page 4 of 58. Pattern recognition Notes 1.pdf. Pattern recognition Notes ...

Machine Learning & Pattern Recognition
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, ... Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython.

Ebook Pattern Recognition Full Online
the text including non-linear dimensionality reduction techniques, relevance feedback, semi- ... including real-life data sets in imaging, and audio recognition.

Pattern Recognition Supervised dimensionality ... - Semantic Scholar
bAustralian National University, Canberra, ACT 0200, Australia ...... About the Author—HONGDONG LI obtained his Ph.D. degree from Zhejiang University, ...

Download Pattern Recognition and Machine Learning ...
The dramatic growth in practical applications for machine learning over the last ... The Elements of Statistical Learning: Data Mining, Inference, and Prediction, ...

ePub Pattern Recognition and Machine Learning
The dramatic growth in practical applications for machine learning over the last ... The Elements of Statistical Learning: Data Mining, Inference, and Prediction, ...