Connected Components Labeling — MCQs | Digital Image Processing

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1. What is the main goal of connected components labeling in digital image processing?



2. Which type of image is typically used for connected components labeling?



3. Which connectivity type considers horizontal and vertical neighbors only?



4. Which connectivity type includes diagonal neighbors?



5. What is the first step in the two-pass algorithm for connected components labeling?



6. What is done in the second pass of the two-pass algorithm?



7. Which data structure is commonly used to manage label equivalences?



8. What does the Union operation do in the Union-Find algorithm?



9. In connected components labeling, what does a label value represent?



10. Which scan order is commonly used in the first pass of labeling?



11. Which neighborhood is examined during the first pass in 4-connectivity?



12. What causes different regions to be assigned the same label in the first pass?



13. Which of the following can affect the labeling result?



14. Which operation can be used after labeling to determine region properties?



15. What is the minimum number of passes required for the basic connected components labeling algorithm?



16. Which labeling method is faster for hardware implementation?



17. Flood fill algorithm is an example of which labeling approach?



18. Which labeling algorithm is most suitable for small images and teaching purposes?



19. What is a potential disadvantage of recursive flood fill?



20. Which of the following methods avoids recursion and is more memory-efficient?



21. What is the role of equivalence table in connected components labeling?



22. Why might connected components labeling be used before region analysis?



23. What is a typical application of connected components labeling?



24. In which domain is connected components labeling most commonly used?



25. What is the label assigned to background pixels in binary images during labeling?



26. Which step is performed after labeling to extract each component?



27. Which type of connectivity often leads to over-segmentation?



28. Which algorithm is NOT commonly used for connected components labeling?



29. How many neighbors does a pixel have in 8-connectivity?



30. Which of the following is true about 4-connectivity?



31. What happens if you apply 8-connectivity on a cross-shaped object?



32. Which is more sensitive to diagonal connections?



33. What does a label collision indicate?



34. What is one way to improve labeling accuracy?



35. Connected components labeling is not suitable for:



36. Which component is NOT part of two-pass algorithm?



37. Which method ensures that equivalent labels are correctly assigned to connected regions?



38. Which property can be measured after labeling a component?



39. Which operation might precede connected components labeling to reduce false regions?



40. The two-pass algorithm avoids recursion by:



41. What is the complexity of connected components labeling using Union-Find?



42. What does a connected component consist of?



43. Which format is best for applying connected components labeling?



44. Which of the following is true about the one-pass algorithm?



45. What is the major drawback of two-pass algorithm?



46. In a labeled image, how are components typically visualized?



47. What ensures uniqueness of each region in labeling?



48. Which field benefits from connected components labeling for counting cells?



49. What happens when two regions are mistakenly merged?



50. Which process follows labeling in object tracking tasks?



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