1. Inverse transformation plays an important role in which of the following Histogram processing Techniques?

2. Sets in morphology are referred to as image'™s

3. How the distance between two shapes can be defined?

4. Reflection of the rectangular SE is always

5. What are the characteristics that are used to distinguish one color from the other?

6. Let us suppose an image containing a quite small square under a large dark square with both having very close gray level values. If an image contains some of this such that the small squares can'™t be visualized and some noise blurred enough to reduce its noise content as shown in fig. below, Which of the following method would be preferred for obtaining the small square clear enough?
What is standard deviation value for constant area?"

7. The technique of Enhancement that has a specified Histogram processed image as result, is called?

8. Which is a colour attribute that describes a pure colour?

9. Accuracy of image segmentation can be improved by the type of:

10. Among the following image processing techniques which is fast, precise and flexible.

11. Which provides a framework for studying object recognition?

12. What causes the effect, imperceptible set of very fine ridge like structures in areas of smooth gray levels?

13. In Histogram Matching r and z are gray level of input and output image and p stands for PDF, then, what does p_z(z) stands for?

14. For a local enhancement using mean and variance, what happens if the lowest value of contrast is not restricted as per the willingness of acceptance of value?

15. Validate the statement: 'For a given image in one-dimension given by function f(x, y), to sample the function we take equally spaced samples, superimposed on the function, along a horizontal line. However, the sample values still span (vertically) a continuous range of gray-level values. So, to convert the given function into a digital function, the gray-level values must be divided into various discrete levels.'

16. Which are recognized by vision?

17. What is the full form for PDF, a fundamental descriptor of random variables i.e. gray values in an image?

18. Two pixels p and q having gray values from V, the set of gray-level values used to define adjacency, are m-adjacent if:

19. K-means is not deterministic and it also consists of number of iterations.

20. For pixels p(x, y), q(s, t), the city-block distance between p and q is defined as:

21. What is the step that is performed before color image processing in image processing?

22. If x(n) is a real sequence and X(k) is its N-point DFT, then which of the following is true?

23. The transition between continuous values of the image function and its digital equivalent is called ______________

24. What is pixel?

25. Images quantised with insufficient brightness levels will lead to the occurrence of ____________