Image Processing : Question Paper Dec 2011 - Computer Engineering (Semester 7) | Mumbai University (MU)
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Image Processing - Dec 2011

Computer Engineering (Semester 7)

(1) Question 1 is compulsory.
(2) Attempt any three from the remaining questions.
(3) Assume data if required.
(4) Figures to the right indicate full marks.

Justify/Contradict the following statements:-

1(a) If the energy of the signal is finite its power is zero.(5 marks) 1(b) Laplacian is better than gradient for detection of edges.(5 marks) 1(c) Walsh transform is nothing but sequence ordered Hadamard transform matrix.(5 marks) 1(d) All image compression technique are invertible.(5 marks) 2(a) Find the following sequence are periodic or not. If yes find the fundamental time period.
ii) x2(n)= 3 sin(1/8)n
(10 marks)
2(b) Obtain linear convolution of two discrete time signals as below
h(n)=anu(n), a<1

Show that:
(10 marks)
3(a) Find the cross correlation between given signal.

(5 marks)
3(b) Find z-transformation of x(n) and draw its ROC

(10 marks)
3(c) Determine auto-correlation of following signal

(5 marks)
4(a) Using 4 point FET algorithm, calculate 2-D DFT of

(10 marks)
4(b) Write 8x8 Hadamard transform matrix and its single flow graph. Using butterfly diagram compute Hadamard Transform for x(n)={1,2,3,4,1,2,1,2}(10 marks) 5(a) Peform Histogram Equalization and draw new equalised histogram of the following imagedata.

(10 marks)
5(b) What is image segmentation? Explain the following methods of image segmentation.
i) Region Growing
ii) Region Splitting
iii) Thresholding
(10 marks)
6(a) What are the different types of redundancies in digital image? Explain in detail.(10 marks) 6(b) For the 3 bit 4*4 size image perform following operation.
i) Threshold T=4
ii) Intensity level slicing with background r1=2 and r2=5
iii) Bit plane slicing for MSB and LSB planes
iv) Negation

(10 marks)

Write short notes on (any four):-

7(a) Discrete Cosine Transform(5 marks) 7(b) Wiener Filter(5 marks) 7(c) Difference between Low Pass and Median filter.(5 marks) 7(d) Hough Transform(5 marks) 7(e) Homomorphic filter(5 marks) 7(f) 4,8,m connectivity of image pixels(5 marks)

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