DOEACC Society 2006 DOEACC C Level CE5 - Image Processing & Computer Vision( ) - Question Paper

CE5-R3: IMAGE PROCESSING AND COMPUTER VISION
NOTE:
Time: three Hours Total Marks: 100
1.
a) What is the major disadvantage of Laplacian operator for edge detection and what is the
remedy to that.
b) “Erosion and dilation are duals with respect to complement operation.” Comment.
c) Depict RGB color model.
d) How can degree of lossiness varied in JPEG.
e) discuss global and local optical flow estimation.
f) elaborate the advantages of Discrete Cosine Transformation (DCT).
g) “Quad-tree representation of image with large homogeneous regions is less expensive.”
Why?
(7x4)
2.
a) elaborate the various categories of images for the purpose of compression, provide
examples.
b) explain run length encoding compression. How is compression ratio described in this
case?
c) What is data redundancy?
d) Derive mean square signal-to-noise ratio fidelity criterion.
(5+5+4+4)
3.
a) discuss different steps in digitization of an image.
b) What is geometric transformation? provide 1 method for pixel co-ordinate transformation.
c) What is brightness interpolation? provide 1 method for brightness interpolation.
(6+5+7)
4.
a) What is an edge? discuss the role of gradient in edge detection.
b) provide various kinds of gradient-based edge detectors.
c) provide Canny edge detector algorithm.
d) elaborate the criteria based on which Canny edge detector performs optimally?
(4+3+8+3)
5.
a) explain algorithm for region convex hull construction.
b) explain region decomposition as shape description process.
c) explain various image understanding control strategies.
(5+5+8)
CE5-R3 Page one of two July, 2006
1. ans ques. one and any 4 ques. from two to 7.
2. Parts of the identical ques. should be answered together and in the identical
sequence.
6.
a) explain filtering in the situation of image processing?
b) provide pseudocode for avg. filtering.
c) In what respect median filtering is superior to mean filtering?
d) explain Gaussian filtering with its advantages.
(4+4+3+7)
7.
a) discuss the separability property of Fourier transform in situation of digital image
processing.
b) If g(x) and f(x) are the functions as provided below,
f(x)=
î í ì
£ £
Otherwise
x
0,
1, 0 1
and g(x) =
î í ì
£ £
Otherwise
x
0,
, 0 one 2
1
obtain the convolution of f(x) and g(x).
c) discuss contour subsequent technique in the situation of boundary detection. What is the
effect of noise in this technique?
(8+6+4)
CE5-R3 Page two of two July, 2006

Earning:   Approval pending.