Thursday, May 5, 2016

ANU B.Tech CSE IT Computer Vision April 2016 Question Paper

Acharya Nagarjuna University Question Paper
Course:  B Tech Computer Science and Engineering
[Total No. of Questions : 09]
CS/IT 326 (CR)
3/4 B.Tech Degree Examinations, March / April 2016
Second Semester
Computer Vision
Time : 3 hours
Maximum Marks : 70

Answer question No.1 Compulsory
Answer ONE question from each Unit

1. Briefly explain following [7 x 2 = 14M]
a) What is an image?
b) Edge detection techniques
c) Define segmentation
d) Region properties
e) Inverse perspective projection
f) 2D Vs 3D.
g) Define facet.
h) What is a computer vision?
i) Photogrammetry
j) What is thinning?
k) Techniques for matching.
l) External points
m) Morphological operators for edge detection.
n) Global Vs local features.

UNIT - I [1 x 14 = 14M]

2. Explain the different image pre-processing stages that can be used in a computer vision system. (OR)
3. Explain the important morphological operations: Dilation, Erosion, Opening and Closing in detail. How can these are used in obtaining skeleton of an image.

UNIT - II [1 x 14 = 14M]

4. Explain various techniques used for region analysis. (OR)
5. What is the basic concept in Hough transform? How is Hough transform used in line detection.

UNIT - III [1 x 14 = 14M]

6. a) Give the classification of shapes by labeling of edges.
6. b) Explain back tracking algorithms with suitable examples. (OR)
7. Describe intensity of matching of 1 dimensional and 2 dimensional signals.

UNIT - IV [1 x 14 = 14M]

8. Briefly explain about ordered structural matching with suitable examples. (OR)
9. Discuss about various control strategies in knowledge based vision.
Share This
Previous Post
Next Post

Pellentesque vitae lectus in mauris sollicitudin ornare sit amet eget ligula. Donec pharetra, arcu eu consectetur semper, est nulla sodales risus, vel efficitur orci justo quis tellus. Phasellus sit amet est pharetra


Pen down your valuable important comments below