0
Mcqs

Digital Image Processing Mcqs

Our 1000+ Digital Image Processing MCQs (Multiple Choice Questions and Answers) focus on all areas of Digital Image Processing covering 100+ topics. These topics are chosen from a collection of the most authoritative and best reference books on Digital Image Processing. One should spend 1 hour daily practicing these MCQs for 2-3 months to learn and assimilate the Digital Image Processing subject comprehensively. This way of systematic learning will prepare anyone easily for Digital Image Processing exams, contests, online tests, quizzes, MCQ-tests, viva-voce, interviews, and certifications.

 

Digital Image Processing Multiple Choice Questions Highlights

  • 1000+ Multiple Choice Questions & Answers (MCQs) in Digital Image Processing with a detailed explanation of every question.
  • These MCQs cover theoretical concepts, true-false(T/F) statements, fill-in-the-blanks, and match the following style statements.
  • These MCQs also cover numerical as well as diagram-oriented MCQs.
  • These MCQs are organized chapterwise and each Chapter is further organized topicwise.
  • Every MCQ set focuses on a specific topic of a given Chapter in the Digital Image Processing Subject.

 

Who should Practice Digital Image Processing MCQs?

  • Students who are preparing for college tests and exams such as mid-term tests and semester tests on Digital Image Processing.
  • Students who are preparing for Online/Offline Tests/Contests in Digital Image Processing.
  • Students who wish to sharpen their knowledge of Digital Image Processing Subject.
  • Anyone preparing for an Aptitude test in Digital Image Processing.
  • Anyone preparing for interviews (campus/off-campus interviews, walk-in interviews, and company interviews).
  • Anyone preparing for entrance examinations and other competitive examinations.
  • All - Experienced, Freshers and College / School Students.
Latest Popular
Q:

The expression [?² f(x,y)/?x² +?² f(x,y)/?y²] is considered as _________ where f(x, y) is an input image.

A) Laplacian of f(x, y) B) Gradient of f(x, y)
C) All of the mentioned D) None of the mentioned
 
Answer & Explanation Answer: A) Laplacian of f(x, y)

Explanation: The Laplacian for an image f(x, y) is defined as: ?2 f=?² f/?x² + ?² f/?y² .

View Answer Discuss

Category: Electronics & Electrical MCQs
Sub Category: Digital Image Processing Mcqs

50
Q:

An image has significant edge details. Which of the following fact(s) is/are true for the gradient image and the Laplacian image of the same?

A) The gradient image is brighter than the Laplacian image B) The gradient image is brighter than the Laplacian image
C) Both the gradient image and the Laplacian image has equal values D) None of the mentioned
 
Answer & Explanation Answer: A) The gradient image is brighter than the Laplacian image

Explanation: Because the gradient enhances prominent edges better than Laplacian, so, the Gradient image with significant edge detail has higher value than in Laplacian image.

View Answer Discuss

Category: Electronics & Electrical MCQs
Sub Category: Digital Image Processing Mcqs

50
Q:

Gradient have some important features. Which of the following is/are some of them?

A) Enhancing small discontinuities in an otherwise flat gray field B) Enhancing prominent edges
C) All of the mentioned D) None of the mentioned
 
Answer & Explanation Answer: C) All of the mentioned

Explanation: Since gradient are used in fist order derivative image enhancement that enhances the discontinuities except for in flat areas and produces thick edge for constant slope ramp. So, Gradient has all the mentioned features.

View Answer Discuss

Category: Electronics & Electrical MCQs
Sub Category: Digital Image Processing Mcqs

39
Q:

Gradient is used in which of the following area(s)?

A) To aid humans in detection of defects B) As a preprocessing step for automated inspections
C) All of the mentioned D) None of the mentioned
 
Answer & Explanation Answer: C) All of the mentioned

Explanation: Gradient has a usage in both human analysis as well as a preprocessing step for automated inspections.

View Answer Discuss

Category: Electronics & Electrical MCQs
Sub Category: Digital Image Processing Mcqs

43
Q:

What is the sum of the coefficient of the mask defined using gradient?

A) 1 B) -1
C) 0 D) None of the mentioned
 
Answer & Explanation Answer: C) 0

Explanation: Since, first order derivative of a digital function must be zero in the areas of constant grey values. So, the mask using gradient has a sum 0, so to produce a zero result if applied on constant gray level areas.

View Answer Discuss

Category: Electronics & Electrical MCQs
Sub Category: Digital Image Processing Mcqs

49
Q:

A First derivative in image processing is implemented using which of the following given operator(s)?

A) Magnitude of Gradient vector B) The Laplacian
C) All of the mentioned D) None of the mentioned
 
Answer & Explanation Answer: A) Magnitude of Gradient vector

Explanation: Magnitude of Gradient vector is used for implementation of first derivative in image processing, while Laplacian is for second order implementation in image processing.

View Answer Discuss

Category: Electronics & Electrical MCQs
Sub Category: Digital Image Processing Mcqs

34
Q:

Subtracting Laplacian from an image is proportional to which of the following?

A) Unsharp masking B) Box filter
C) Median filter D) None of the mentioned
 
Answer & Explanation Answer: A) Unsharp masking

Explanation: subtracting Laplacian from an image gives:
f(x,y)- ?² f(x,y) = f(x, y) – [f(x + 1, y) + f(x – 1, y) + f(x, y + 1) + f(x, y – 1) – 4f(x, y)] That on calculation gives 5[1.2 f(x, y) – f ?(x, y)] ? 5[f(x, y) – f(x, y)] Where f(x, y) – f(x, y) is the unsharp masking definition.

View Answer Discuss

Category: Electronics & Electrical MCQs
Sub Category: Digital Image Processing Mcqs

46
Q:

“For very large value of A, a high boost filtered image is approximately equal to the original image”. State whether the statement is true or false?

A) True B) False
 
Answer & Explanation Answer: A) True

Explanation: As the value of A increases, sharpening process contribution becomes less important and so at some very large value A, the contribution becomes almost negligible and so high boost filtered image is approximately equal to the original image.

View Answer Discuss

Category: Electronics & Electrical MCQs
Sub Category: Digital Image Processing Mcqs

40