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Line Detection in Digital Image Processing Quiz Questions and Answers PDF Download eBook

Practice Line Detection in Digital Image Processing quiz questions and answers, line detection in digital image processing MCQs with answers PDF to solve image processing worksheet 4 for online graduate programs. Practice "Image Segmentation" quiz questions with answers, line detection in digital image processing Multiple Choice Questions (MCQs) for online university degrees. Free line detection in digital image processing MCQs, line detection in image segmentation, basic edge detection, noise models in dip, fundamentals of image segmentation, line detection in digital image processing test prep for software engineering online courses.

"For finding horizontal lines we use mask of values", line detection in digital image processing Multiple Choice Questions (MCQs) with choices [2 -1 -1; -1 2 -1; -1 -1 2], [-1 -1 -1; 2 2 2; -1 -1 -1], [-1 2 -1; -1 2 -1; -1 2 -1], and [-1 -1 2; -1 2 -1;2 -1 -1] for BSc computer science. Learn image segmentation questions and answers with free online certification courses for software engineering online courses.

Quiz on Line Detection in Digital Image Processing PDF Download eBook

Line Detection in Digital Image Processing Quiz

MCQ: For finding horizontal lines we use mask of values

  1. [-1 -1 -1; 2 2 2; -1 -1 -1]
  2. [2 -1 -1; -1 2 -1; -1 -1 2]
  3. [-1 2 -1; -1 2 -1; -1 2 -1]
  4. [-1 -1 2; -1 2 -1;2 -1 -1]

A

Fundamentals of Image Segmentation Quiz

MCQ: If the inner region of the object is textured then approach we use is

  1. discontinuity
  2. similarity
  3. extraction
  4. recognition

B

Noise Models in Dip Quiz

MCQ: PDF in image processing is called

  1. probability degraded function
  2. probability density function
  3. probabilistic degraded function
  4. probabilistic density function

B

Basic Edge Detection Quiz

MCQ: The horizontal gradient pixels are denoted by

  1. Gx
  2. Gy
  3. Gt
  4. Gs

A

Line Detection in Image Segmentation Quiz

MCQ: To avoid the negative values taking absolute values in lapacian image doubles

  1. thickness of lines
  2. thinness of lines
  3. thickness of edges
  4. thinness of edges

A