Histogram Processing MCQ

1. What is the basis for numerous spatial domain processing techniques?
a) Transformations
b) Scaling
c) Histogram
d) None of the Mentioned


2. In _______ image we notice that the components of histogram are concentrated on the low side on intensity scale.
a) bright
b) dark
c) colourful
d) All of the Mentioned


3. What is Histogram Equalisation also called as?
a) Histogram Matching
b) Image Enhancement
c) Histogram linearisation
d) None of the Mentioned


4. What is Histogram Matching also called as?
a) Histogram Equalisation
b) Histogram Specification
c) Histogram linearisation
d) None of the Mentioned


5. Histogram Equalisation is mainly used for _________________________.
a) Image enhancement
b) Blurring
c) Contrast adjustment
d) None of the Mentioned


6. To reduce computation if one utilises non-overlapping regions, it usually produces ______ effect.
a) Dimming
b) Blurred
c) Blocky
d) None of the Mentioned


7. What does SEM stands for?
a) Scanning Electronic Machine
b) Self Electronic Machine
c) Scanning Electron Microscope
d) Scanning Electric Machine


8. 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


9. Which type of Histogram Processing is suited for minute detailed enhancements?
a) Intensive
b) Local
c) Global
d) Random


10. In uniform PDF, the expansion of PDF is ____________________________.
a) Portable Document Format
b) Post Derivation Function
c) Previously Derived Function
d) Probability Density Function