Pattern Recognition and Image Processing.PDF - Google Drive
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Pattern Recognition and Image Processing.PDF - Google Drive
why the filtering scheme is effective for the. applications it is used. 3. (a) Explain in detail the adaptive mean and 4
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)