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:

Which of the following fact is true for the masks that includes diagonal neighbors than the masks that doesn’t?

A) Mask that excludes diagonal neighbors has more sharpness than the masks that doesn’t B) Mask that includes diagonal neighbors has more sharpness than the masks that doesn’t
C) Both masks have same sharpness result D) None of the mentioned
 
Answer & Explanation Answer: B) Mask that includes diagonal neighbors has more sharpness than the masks that doesn’t

Explanation: Including diagonal neighbor pixels enhances sharpness of the image. So, Mask that includes diagonal neighbors has more sharpness than the masks that doesn’t.

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

66
Q:

Why is scaling of Laplacian filtered images necessary?

A) Because it contain high positive values B) Because it contain high negative value
C) Because it contain both positive and negative values D) None of the mentioned
 
Answer & Explanation Answer: C) Because it contain both positive and negative values

Explanation: A Laplacian filtered image contain both positive and negative values of comparable magnitudes. So, scaling is necessary.

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

61
Q:

An enhanced image can be obtained as: g(x,y)=f(x,y)-∇2 f(x,y), where Laplacian is being subtracted from f(x, y) the input image. What does this conclude?

A) That the center spike would be negative B) That the immediate neighbors of center spike would be positive.
C) All of the mentioned D) None of the mentioned
 
Answer & Explanation Answer: C) All of the mentioned

Explanation: For the above given enhanced image the Laplacian subtraction suggest that the center coefficient of Laplacian mask is negative and so the center spike is negative with its immediate neighbors being positive.

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

58
Q:

Computing the Fourier transform of the Laplacian result in spatial domain is equivalent to multiplying the F(u, v), Fourier transformed function of f(x, y) an input image, and H(u, v), the filter used for implementing Laplacian in frequency domain. This dual relationship is expressed as _________

A) Fourier transform pair notation B) Laplacian
C) Gradient D) None of the mentioned
 
Answer & Explanation Answer: A) Fourier transform pair notation

Explanation: The Fourier transform of the Laplacian result in spatial domain is equivalent to multiplying the F(u, v) and H(u, v). This dual relationship is expressed as Fourier transform pair notation given by: ∇² f(x,y)-[(u – M/2)²+ (v – N/2)²]F(u,v), for an image of size M *N.

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

58
Q:

Assuming that the origin of F(u, v), Fourier transformed function of f(x, y) an input image, has been correlated by performing the operation f(x, y)(-1)x+y prior to taking the transform of the image. If F and f are of same size M*N, then which of the following is an expression for H(u, v), the filter used for implementing Laplacian in frequency domain?

A) H(u, v)= -(u²+ v²) B) H(u, v)= -(u²– v²)
C) H(u, v)= -[(u – M/2)²+ (v – N/2)²]. D) H(u, v)= -[(u – M/2)²– (v – N/2)²].
 
Answer & Explanation Answer: C) H(u, v)= -[(u – M/2)²+ (v – N/2)²].

Explanation: The given operation f(x, y)(-1)x+y shifts the center transform so that (u, v)=(0, 0) is at point (M/2, N/2) and hence the filter is: H(u, v)= -[(u – M/2)²+ (v – N/2)²].

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

236
Q:

Assuming that the origin of F(u, v), Fourier transformed function of f(x, y) an input image, has been correlated by performing the operation f(x, y)(-1)x+y prior to taking the transform of the image. If F and f are of same size M*N, where does the point (u, v) =(0,0) shifts?

A) (M -1, N -1) B) (M/2, N/2)
C) (M+1, N+1) D) (0, 0)
 
Answer & Explanation Answer: B) (M/2, N/2)

Explanation: The given operation f(x, y)(-1)x+y shifts the center transform so that (u, v)=(0, 0) is at point (M/2, N/2) for F and f of same size M*N.

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

71
Q:

Assuming that the origin of F(u, v), Fourier transformed function of f(x, y) an input image, has been correlated by performing the operation f(x, y)(-1)x+y prior to taking the transform of the image. If F and f are of same size, then what does the given operation is/are supposed to do?

A) Resize the transform B) Rotate the transform
C) Shifts the center transform D) All of the mentioned
 
Answer & Explanation Answer: C) Shifts the center transform

Explanation: The given operation f(x, y)(-1)x+y shifts the center transform so that (u, v)=(0,0) is at point (M/2, N/2) for F and f of same size M*N.

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

76
Q:

The Laplacian in frequency domain is simply implemented by using filter __________

A) H(u, v)= -(u²– v²) B) H(u, v)= -(1)
C) H(u, v)= -(u²+ v²) D) none of the mentioned
 
Answer & Explanation Answer: C) H(u, v)= -(u²+ v²)

Explanation: Laplacian in frequency domain is: I[(∂² f(x,y))/∂x² +(∂² f(x,y))/∂y² ]= -(u²+v²)F(u,v), where ℑ is the Fourier transform operator and F(u, v) is Fourier transformed function of f(x, y) and -(u²+ v²) is the filter.

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

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