Image Segmentation Notes App | Digital Image Processing Notes e-Book PDF | 16
Digital Image Processing MCQs (Computer Science) From Textbook

Digital Image Processing MCQs – Practice Test 16 (Chapter 6)

Image Segmentation Notes Questions with Answers PDF Download – Test 16

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Image Segmentation MCQs – Practice Test 16 PDF Download

MCQ 76: For line detection we use:

  1. first derivative
  2. second derivative
  3. third derivative
  4. Both A and B

MCQ 77: Marr hildreth method was introduced for:

  1. sharpening
  2. segmentation
  3. edge finding
  4. recognition

MCQ 78: When the desired object is detected segmentation should be:

  1. paused
  2. cleared
  3. continued
  4. stopped

MCQ 79: Similarity approach of segmentation depends upon:

  1. low frequencies
  2. smooth changes
  3. abrupt changes
  4. contrast

MCQ 80: For edge detection we combine gradient with:

  1. sharpening
  2. set theory
  3. smoothing
  4. thresholding

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