11. What is the basis for numerous spatial domain processing techniques?
A. Transformations
B. Scaling
C. Histogram
D. None of the Mentioned
12. In the _______ image we notice that the components of the histogram are concentrated on the low side of the intensity scale.
A. bright
B. dark
C. colorful
D. All of the Mentioned
13. What is Histogram Equalisation also called?
A. Histogram Matching
B. Image Enhancement
C. Histogram linearisation
D. None of the Mentioned
14. What is Histogram Matching also called?
A. Histogram Equalisation
B. Histogram Specification
C. Histogram linearisation
D. None of the Mentioned
15. Histogram Equalisation is mainly used for ________
A. Image enhancement
B. Blurring
C. Contrast adjustment
D. None of the Mentioned
16. To reduce computation if one utilizes non-overlapping regions, it usually produces the ______ effect.
A. Dimming
B. Blurred
C. Blocky
D. None of the Mentioned
17. What does SEM stands for?
A. Scanning Electronic Machine
B. Self Electronic Machine
C. Scanning Electron Microscope
D. Scanning Electric Machine
18. The type of Histogram Processing in which pixels are modified based on the intensity distribution of the image is called _______________.
A. Intensive
B. Local
C. Global
D. Random
19. Which type of Histogram Processing is suited for minutely detailed enhancements?
A. Intensive
B. Local
C. Global
D. Random
20. In uniform PDF, the expansion of PDF is _________
A. Portable Document Format
B. Post Derivation Function
C. Previously Derived Function
D. Probability Density Function