Line Detection in Digital Image Processing Quiz Questions and Answers 4 PDF Book Download

Line detection in digital image processing quiz, line detection in digital image processing MCQs answers, DIP quiz 4 to learn cs courses online. College and university courses MCQs, image segmentation quiz questions and answers, line detection in digital image processing multiple choice questions to practice image processing test with answers. Learn line detection in digital image processing MCQs, career test on basic edge detection, noise models in dip, fundamentals of image segmentation, line detection in digital image processing test prep for cisco certifications.

Practice line detection in digital image processing career test with multiple choice question (MCQs): for finding horizontal lines we use mask of values, with choices [-1 -1 -1; 2 2 2; -1 -1 -1], [2 -1 -1; -1 2 -1; -1 -1 2], [-1 2 -1; -1 2 -1; -1 2 -1], and [-1 -1 2; -1 2 -1;2 -1 -1] for online computer science degree. Learn image segmentation questions and answers for scholarships exams' problem-solving, assessment test for IT certifications.

Quiz on Line Detection in Digital Image Processing Worksheet 4Quiz Book Download

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 inner region of 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: Horizontal gradient pixels are denoted by

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

A

Line Detection in Image Segmentation Quiz

MCQ: To avoid 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