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Line Detection in Digital Image Processing Questions and Answers PDF Download eBook - 99

Practice Line Detection in Digital Image Processing trivia questions and answers, line detection in digital image processing quiz answers PDF to solve image processing mock test 99 for online degrees. Practice "Image Segmentation" trivia questions and answers, line detection in digital image processing Multiple Choice Questions (MCQs) for online university degrees. Free line detection in digital image processing MCQs, fundamentals of image compression, preliminaries in morphological image processing, line detection in digital image processing test prep for bachelor's degree in computer science.

"For finding vertical 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] to learn free online courses. Learn image segmentation questions and answers with free online certification courses for computer science programs.

Trivia Quiz on Line Detection in Digital Image Processing PDF Download eBook

Line Detection in Digital Image Processing Quiz

MCQ: For finding vertical 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]

C

Preliminaries in Morphological Image Processing Quiz

MCQ: Structuring elements usually are

  1. square array
  2. circular array
  3. triangular array
  4. rectangular array

D

Fundamentals of Image Compression Quiz

MCQ: In the formula 1-(1/c), C is the

  1. complex ratio
  2. compression ratio
  3. constant
  4. condition

B

Fundamentals of Image Compression Quiz

MCQ: Irrelevant data is said to be

  1. redundant data
  2. meaningful data
  3. raw data
  4. Both A and B

A

Background of Intensity Transformation Quiz

MCQ: In the formula g(x,y) = T[ƒ(x,y)], ƒ(x,y) is the

  1. transformed image
  2. output image
  3. input image
  4. digitized image

C