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Digital Image Processing Digital Image Processing
Typology: Exams
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B.Sc. Engg. CSE 7th^ Semester / B.Sc. Engg. SWE 5th^ Semester
Date: 16 September 2021
Programmable calculators are not allowed. Do not write anything on the question paper. There are 3 (three) questions. Answer all 3 (three) of them. Figures in the right margin indicate marks and corresponding CO & PO are written in brackets.
Special Instructions: i. Limited Open Book Exam: Use the Hardcopy book “Digital Image Processing ” by Gonzalez & Woods, Printed Lectures slides , & Handwritten Class-notes only. ii. No Internet Browsing, No Keyboard use. iii. No softcopy of any kind of Class Material or e-Book. iv. Your full Monitor should be within your camera view.
b) (^) Mathematically prove that multiplying an image f(x,y) with ( 1) x^ y and then applying
M N , i.e.,
Note : Use the term ( 1) x^ ^ y^ ej^^ (^ x^ y ).
c) Suppose, you have a (^3) 3 spatial mask which can enhance the edge structures of an image through convolution operation. How can you produce an equivalent filter that can give you the same output when applied with element-wise multiplication in the Frequency domain?
b) In a 24-bit RGB image, the R, G, and B channels have the horizontal intensity profiles shown in Figure 1.What color would a person see in the middle column ( y=N/2 ) of this image? Here, the column size of the image is N.
Figure 1. c) In an automated assembly application, two classes of parts are to be color coded in order to simplify detection. However, only a monochrome TV camera is available to acquire digital images. Propose a technique for using this camera to detect the two different colors, such as Red and Cyan.
Green (^) Red
b) From a given binary image with printed characters, your objective is to locate and detect all the characters ‘B’ as given in Figure 2. Hit-or-miss transform can be employed for the detection process. Explain how it can detect any given shape. Simplify this Hit-or-miss transform with a single morphological operation for detecting the character ‘B’.
Figure 2.
Note : Consider Black objects as foreground.
c) The top-hat transformation of a grayscale image f is defined as f minus its opening with a structuring element of b :
What kind of effects do you expect in the output image after top-hat transform?