Image processing and Machine Vision
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Image processing and Machine Vision
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25 Questions

1. Point out the wrong statement.
2. How the distance between two shapes can be defined?
3. Segmentation is a process of
4. Nearest neighbor Interpolation has an undesirable feature, that is _________
5. A continuous image is digitised at _______ points.
6. How many categories does the color image processing is basically divided into?
7. For pixels p(x, y), q(s, t), the chessboard distance between p and q is defined as:
8. Segmentation algorithms depends on intensity values'™
9. What role does the segmentation play in image processing?
10. Which object recognition process is an error-prone process?
11. How is sampling accomplished when a sensing array is used for image acquisition?
12. Which is the only way to learn about the different kinds of human faces?
13. Let R be a subset of pixels in an image. How can we define the contour of R?
14. Images quantised with insufficient brightness levels will lead to the occurrence of ____________
15. A pixel p at coordinates (x, y) has neighbors whose coordinates are given by: (x+1, y), (x-1, y), (x, y+1), (x, y-1). This set of pixels is called ____________
16. If X(k) is the N-point DFT of a sequence x(n), then what is the DFT of x*(n)?
17. Thresholding is the example of
18. Which of the following step deals with tools for extracting image components those are useful in the representation and description of shape?
19. In which step of the processing, assigning a label (e.g., 'vehicle') to an object based on its descriptors is done?
20. For diagonal edge detection we use
21. What can be represented by using histograms or empirical frequency distributions?
22. Tuple is referred to as
23. Reflection of the rectangular SE is always
24. Among the following image processing techniques which is fast, precise and flexible.
25. How is sampling been done when an image is generated by a single sensing element combined with mechanical motion?

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