Download GTU BE/B.Tech 2019 Winter 7th Sem New 2171712 Image Processing Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Winter 7th Sem New 2171712 Image Processing Previous Question Paper

Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER ? VII (New) EXAMINATION ? WINTER 2019
Subject Code: 2171712 Date: 30/11/2019

Subject Name: Image Processing
Time: 10:30 AM TO 01:00 PM Total Marks: 70

Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.

MARKS

Q.1 (a) What is aliasing and moire pattern in digital image processing? 03
(b) Draw and Explain structure of human eye. 04
(c) With proper block diagram explain key stages in digital image processing 07

Q.2 (a) What is redundancy in image? List different types of redundancies. 03
(b) Explain the power-law transformations. 04
(c) Explain the concept of sampling and quantization in image processing. 07
OR
(c) Briefly explain applications of image processing. 07

Q.3 (a) What is unsharp masking and high boost filtering for sharpening in frequency
domain.
03
(b) Discuss image soothing vs image sharpening. 04
(c) Explain RGB and CMY color models, and their relationship. 07
OR
Q.3 (a) List out arithmetic operations between images and explain any one with
example.
03
(b) How can one decide the quality of image using histogram? 04
(c) Explain LZW coding technique for error free image compression. 07

Q.4 (a) Explain dilation morphological operations. 03
(b) Discuss the effect of gaussian low pass filter on image in frequency domain. 04
(c) Explain Hough transform and its applications. 07
OR
Q.4 (a) Explain erosion morphological operations. 03
(b) Discuss the effect of butterworth low pass filter on image in frequency domain. 04
(c) Discuss detection of points and lines in image. Include mask used for detection. 07

Q.5 (a) Compare performance of gradiant operator and laplacian operator for edge
detection.
03
(b) Explain image segmentation using region splitting and merging. 04
(c) Explain Pseudo-color image processing. What is the application of pseudo-
color image processing?
07
OR
Q.5 (a) Explain the concept of object recognition in image processing. 03
(b) Explain Lossy compression and Lossless compression. 04
(c) Explain HIT-or-MISS Transformation. 07
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