BME801 Medical Image Processing B.Tech Question Paper : wbut.ac.in

Name of the University : West Bengal University of Technology
Department : Biomedical Engineering
Degree : B.Tech
Sem : VIII
Subject Code/Name : BME-801/Medical Image Processing
Website : wbut.ac.in
Document Type : Previous Year Examination Question Paper

Download Model/Sample Question Paper :
2009 : https://www.pdfquestion.in/uploads/qpaper.wbut.ac.in/6683-2009BME-801.pdf
2010 : https://www.pdfquestion.in/uploads/qpaper.wbut.ac.in/6683-2010BME%20-%20801.pdf
2011 : https://www.pdfquestion.in/uploads/qpaper.wbut.ac.in/6683-2011BME-801(2).pdf
2012 : https://www.pdfquestion.in/uploads/qpaper.wbut.ac.in/6683-2012BME-801(1).pdf
2013 : https://www.pdfquestion.in/uploads/qpaper.wbut.ac.in/6683-2013BME-801(3).pdf

WBUT Medical Image Processing Question Paper

Engineering & Management Examinations,
Semester – 8 :
Time : 3 Hours
Full Marks : 70
** The figures in the margin indicate full marks.
** Candidates are required to give their answers in their own words as far as practicable.

Related : West Bengal University of Technology BME803B Biological Control Systems B.Tech Question Paper : www.pdfquestion.in/6682.html

GROUP – A

( Multiple Choice Type Questions )
1. Choose the correct answer for the following : 10 × 1 = 10
i) ‘Laplacian’ is a
a) First Order Smoothing Filter
b) Second Order Smoothing Filter
c) First Order Sharpening Filter
d) Second Order Sharpening Filter.

ii) If we use a filter whose characteristics is H ( u, v ) = 0, for ( u, v ) = ( M/2, N/2) = 1, otherwise. Then it is a
a) Low-pass Filter b) High-pass Filter
c) Notch Filter d) Butterworth Filter.

iii) In a piecewise linear model of a contrast stretching function, if r 1 = s 1 and r 2 = s 2 , then the function becomes
a) Thresholding function b) Linear function
c) Image Enhancement function d) Logarithmic function.

iv) Using Power Law Transformation Technique if an image biased in the dark zone has to be converted into a higher contrast image, we have to use
a) gamma > 1 b) gamma = 1
c) gamma < 1 d) gamma = 0.

v) In on Order Statistics Filter the most commonly used filter is
a) Min filter b) Max filter
c) Median filter d) Mode filter.

vi) Digitizing the coordinate values of an image is
a) Quantization b) Sampling
c) Restoration d) Equating.

vii) If R is the subset of the pixels in an image, then R is called at region of the image if R is a
a) component of a set S b) connected set
c) disconnected set d) none of these.

viii) Unsharp masking may be expressed as
a) fs ( x, y ) = f ( x, y ) – f – ( x, y )
b) fs ( x, y ) = f ( x, y ) + f 1 ( x, y )
c) fs ( x, y ) = f – ( x, y ) – f ( x, y )
d) none of these.

ix) Butterworth filter of the order 20 exhibits the characteristics of
a) ILPF b) GLPF
c) BPLF d) None of these.

x) Gaussian Filter function is given by the equation
a) H ( u ) = Ae –u2/2s2 b) H ( u ) = Be –u2/2s2
c) H ( u ) = Ae u2/2s2 d) none of these.

GROUP – B

( Short Answer Type Questions )
Answer any three of the following. 3 × 5 = 15
2. With a neat block diagram state the various steps involved in Digital Image Processing.
3. How a re zooming and shrinking of images achieved ? Explain the methods with specialemphasis on different interpolation techniques.

4. Explain in brief the different types of Order Statistics Filter and their use in noise removal.
5. Describe the sampling and quantization process to create a digital image.
6. Why is back propagation learning also called generalized delta rule ?

GROUP – C

( Long Answer Type Questions )
Answer any three questions. 3 × 15 = 45
7. a) What is image restoration ? Give two areas where restoration process can be applied.
b) With a neat block diagram, explain the image degradation model. 5 + 10 = 15
8. a) Explain the various aspects of fidelity criteria in detail.
b) Distinguish between lossy and lossless compression in image processing.
c) What is vector quantization ? Explain briefly. 7 + 4 + 4 = 15

9. a) What are ‘bit-planes’ ? Explain how the different bit-planes contribute to the overall appearance of an image.
b) What do you mean by ‘Histogram’ of an image ? Describe ‘Histogram Matching’ Technique. 7 + 8 = 15

10. a) Write the basic steps of filtering in the frequency domain. Explain in brief the characteristics of an Ideal LPF.
b) What is the foundation of designing Sharpening Spatial Filters ? Explain the advantages and disadvantages of first-order and second-order filters. 7 + 8 = 15

11. Write down the working principle of median filter. Which one is better–median or average filter and why ? Discuss about Prewitt and Sobel operator for detecting edge present in an image. Give a brief overview of Laplacian operator. 3 + 2 + 3 + 3 + 4 = 15

12. What is the principal objective of image enhancement ? What do you mean by Histogram of a digital image ? What is its application ? Define dark, light, low contrast and high contrast image with respect to their histogram analysis. Write down the necessary conditions of the transformation function used in Histogram Equalization technique. What does it guarantee ? 2 + 3 + 2 + 4 + 4 = 15