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Digital Image Processing Certification Exam Tests

Digital Image Processing Practice Test 4

Line Detection in Digital Image Processing MCQ Questions and Answers PDF - 4

The e-Book Line Detection in Digital Image Processing MCQ Questions, line detection in digital image processing quiz answers PDF download chapter 6-4 to learn online image processing degree programs. Solve Image Segmentation Test PDF, line detection in digital image processing Multiple Choice Questions (MCQ Quiz) for online college degrees. The Line Detection in Digital Image Processing MCQ Quiz App Download: Free certification app for line detection in digital image processing, fundamentals of image segmentation, noise models in dip, basic edge detection, line detection in image segmentation test prep for software engineering online courses.

The MCQ Quiz For finding horizontal lines we use mask of values: [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] with "Line Detection in Digital Image Processing" App APK Download (Free) for BSc computer science. Study image segmentation questions and answers, Apple Book to download free sample for software engineering online courses.

Line Detection in Digital Image Processing MCQ with Answers PDF Download: Quiz 4

MCQ 16: For finding horizontal lines we use mask of values

A) [-1 -1 -1; 2 2 2; -1 -1 -1]
B) [2 -1 -1; -1 2 -1; -1 -1 2]
C) [-1 2 -1; -1 2 -1; -1 2 -1]
D) [-1 -1 2; -1 2 -1;2 -1 -1]

MCQ 17: If the inner region of the object is textured then approach we use is

A) discontinuity
B) similarity
C) extraction
D) recognition

MCQ 18: PDF in image processing is called

A) probability degraded function
B) probability density function
C) probabilistic degraded function
D) probabilistic density function

MCQ 19: The horizontal gradient pixels are denoted by

A) Gx
B) Gy
C) Gt
D) Gs

MCQ 20: To avoid the negative values taking absolute values in lapacian image doubles

A) thickness of lines
B) thinness of lines
C) thickness of edges
D) thinness of edges

Digital Image Processing Exam Prep Tests

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