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Welcome to the Intensity Transformations and Spatial Filtering MCQs Page

Dive deep into the fascinating world of Intensity Transformations and Spatial Filtering with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Intensity Transformations and Spatial Filtering, a crucial aspect of Digital Image Processing (DIP). In this section, you will encounter a diverse range of MCQs that cover various aspects of Intensity Transformations and Spatial Filtering, 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 Intensity Transformations and Spatial Filtering. 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 Intensity Transformations and Spatial Filtering. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Intensity Transformations and Spatial Filtering MCQs | Page 15 of 27

Explore more Topics under Digital Image Processing (DIP)

Q141.
In _______ image we notice that the components of histogram are concentrated on the low side on intensity scale.
Discuss
Answer: (b).dark
Q142.
What is Histogram Equalisation also called as?
Discuss
Answer: (c).Histogram linearisation
Discuss
Answer: (b).Histogram Specification
Q144.
Histogram Equalisation is mainly used for ________________
Discuss
Answer: (a).Image enhancement
Q145.
To reduce computation if one utilises non-overlapping regions, it usually produces ______ effect.
Discuss
Answer: (c).Blocky
Discuss
Answer: (c).Scanning Electron Microscope
Q147.
The type of Histogram Processing in which pixels are modified based on the intensity distribution of the image is called _______________.
Discuss
Answer: (c).Global
Q148.
Which type of Histogram Processing is suited for minute detailed enhancements?
Discuss
Answer: (b).Local
Discuss
Answer: (d).Probability Density Function
Q150.
The output of a smoothing, linear spatial filtering is a ____________ of the pixels contained in the neighbourhood of the filter mask.
Discuss
Answer: (c).Average

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