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  T490 STCS (Digital Image Processing) Tutor-Marked Assignment, Spring 2016 Cut-Off Date: 03 May, 2016, Total Marks: 100 Question 1 (25 marks)………………………………………………………………2 Question 2 (25 marks)………………………………………………………………2 Question 3 (20 marks)…………………………………………………

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  T490 STCS (Digital Image Processing) Tutor-Marked Assignment, Spring 2016 Cut-Off Date: 03 May, 2016, Total Marks: 100 Question 1 (25 marks)………………………………………………………………2 Question 2 (25 marks)………………………………………………………………2 Question 3 (20 marks)………………………………………………… Empty
مُساهمةموضوع: T490 STCS (Digital Image Processing) Tutor-Marked Assignment, Spring 2016 Cut-Off Date: 03 May, 2016, Total Marks: 100 Question 1 (25 marks)………………………………………………………………2 Question 2 (25 marks)………………………………………………………………2 Question 3 (20 marks)…………………………………………………     T490 STCS (Digital Image Processing) Tutor-Marked Assignment, Spring 2016 Cut-Off Date: 03 May, 2016, Total Marks: 100 Question 1 (25 marks)………………………………………………………………2 Question 2 (25 marks)………………………………………………………………2 Question 3 (20 marks)………………………………………………… I_icon_minitimeالإثنين أبريل 04, 2016 3:36 am


T490 STCS (Digital Image Processing)
Tutor-Marked Assignment, Spring 2016
Cut-Off Date: 03 May, 2016, Total Marks: 100
Question 1 (25 marks)………………………………………………………………2
Question 2 (25 marks)………………………………………………………………2
Question 3 (20 marks)………………………………………………………………3
Question 4 (30 marks)………………………………………………………………4
Plagiarism Warning:
As per AOU rules and regulations, all students are required to submit their own TMA work and avoid plagiarism. The AOU has implemented sophisticated techniques for plagiarism detection. You must provide all references in case you use and quote another person's work in your TMA. You will be penalized for any act of plagiarism as per the AOU's rules and regulations.
Declaration of No Plagiarism by Student (to be signed and submitted by student with TMA work):
I hereby declare that this submitted TMA work is a result of my own efforts and I have not plagiarized any other person's work. I have provided all references of information that I have used and quoted in my TMA work.
Name of Student:………………………………..
Signature:…………………………………………...
Date:……………………………………………………

Part I: Theoretical Concepts (50 Marks)
Question 1: 25 Marks
a) Consider a 2-D function f(x,y) representing an image of size MxN pixels. Provide the mathematical expressions to explain how you can calculate the average value of this function both in the spatial as well as in the Fourier Transform domains. For full marks, you must provide the mathematical expressions both in the spatial as well as the transform domains. (20 Marks)
b) Explain why the Piecewise-Linear Transformation is a powerful technique for image processing but is challenging to implement. (5 Marks)

Question 2 (Critical Analysis): 25 Marks
Perform Critical Analysis of the following:
Consider the following images from 2 face image databases. These databases are intended to be used to train a face recognition system.

Figure 1: Images from face image database 1

Figure 2: Images from face image database 2
a) Which images from both the databases will be difficult to recognise and list at least 2 difficulties/challenges in this regard. (15 Marks)
b) Suggest one image processing technique that you have studied in this course to handle any one of the difficulties/challenges in the above images. (10 Marks)
Hint: You may refer to articles on the web to answer this question but you must provide references to the sources of information you have used in your work.
Part2: Matlab Part (50 Marks): Please include your Matlab code inside the MS Word file that you will submit as your TMA work. Also you must submit all figures and relevant images as part of your work inside the MS Word file. You must sumit only one MS Word file.
Question 3: 20 Marks
Write a Matlab script to perform the following basic operations on the given ‘tape.png’ image: (5 Marks each)
a) Read the given image, convert it into grayscale image and display it.
b) Plot the Histogram of the given image. What kind of Histogram is it?
c) Process the given image so that it’s Histogram is shifted to the right. Plot the Histogram of the processed image. Has the Histogram shifted to the right? Display the processed image itself also.
d) Process the given image so that it’s Histogram is equalised. Plot the Histogram of the processed image. Display the processed image itself also.

Question 4: 30 Marks
Write a Matlab script to perform the following operations on the given ‘tape.png’ image:
a) Use any 2 edge detection methods that you have studied in the course to find edges in the given image in the Horizontal Direction. (5 Marks)
b) Use the selected 2 edge detection methods above to find edges in the given image in the Vertical Direction. (5 Marks)
c) Use the selected 2 edge detection methods above to find overall edges in the given image. (5 Marks)
d) Use the Canny edge detection method to find overall edges in the given image. (5 Marks)
e) Which of the results computed above is better and why? (10 Marks)
End of Questions
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T490 STCS (Digital Image Processing) Tutor-Marked Assignment, Spring 2016 Cut-Off Date: 03 May, 2016, Total Marks: 100 Question 1 (25 marks)………………………………………………………………2 Question 2 (25 marks)………………………………………………………………2 Question 3 (20 marks)…………………………………………………
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