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Welcome to the Image Segmentation MCQs Page

Dive deep into the fascinating world of Image Segmentation with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Image Segmentation, a crucial aspect of Digital Image Processing (DIP). In this section, you will encounter a diverse range of MCQs that cover various aspects of Image Segmentation, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Digital Image Processing (DIP).

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Check out the MCQs below to embark on an enriching journey through Image Segmentation. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Digital Image Processing (DIP).

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Image Segmentation. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Image Segmentation MCQs | Page 7 of 18

Discuss
Answer: (b).second derivative
Discuss
Answer: (a).good boundary extraction
Q63.
If the standard deviation of the pixels is positive, then sub image is labeled as
Discuss
Answer: (c).white
Discuss
Answer: (d).binary image
Q65.
Marr hildreth method was introduced in
Discuss
Answer: (a).1980
Discuss
Answer: (c).mid level processes
Q67.
Log function is also called
Discuss
Answer: (d).Mexican hat
Q68.
Segmentation algorithms depends on intensity values'
Discuss
Answer: (d).Both a and b
Q69.
Sudden changes in intensity produces peak in
Discuss
Answer: (a).first derivative
Q70.
Ideal edges occur over the distance of
Discuss
Answer: (a).1 pixel

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Are you eager to expand your knowledge beyond Digital Image Processing (DIP)? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!