Region Splitting and Merging — MCQs | Digital Image Processing

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1. Which of the following is a fundamental requirement for region splitting and merging?



2. What is the main goal of region splitting in image segmentation?



3. Which of the following methods can be considered a top-down approach?



4. Which technique starts with the whole image and recursively divides it?



5. In region merging, two regions are merged if they satisfy which condition?



6. What does the region splitting and merging technique combine?



7. What is the minimum region size usually defined for splitting to stop?



8. Which region-based segmentation method is more sensitive to noise?



9. What is the smallest unit into which an image is divided in region splitting?



10. Which of the following can cause over-segmentation in region splitting?



11. What data structure is commonly used in region splitting?



12. Which of the following statements is true about region merging?



13. Region merging can be considered a:



14. Which of these criteria is not typically used in defining homogeneity?



15. What is a common problem in both region splitting and merging?



16. Why is region splitting and merging considered recursive?



17. What is the initial step in region splitting?



18. What typically triggers a split in region splitting?



19. In a quad-tree representation, what does each node represent?



20. What is the termination condition in region merging?



21. Which is an advantage of using region splitting and merging?



22. Which segmentation approach is more sensitive to seed location?



23. What happens when the homogeneity criterion is too strict?



24. What happens when the homogeneity criterion is too loose?



25. Which of the following can not be used as a homogeneity criterion?



26. How many subregions are created in each split using quad-tree?



27. Which operation is applied after region splitting to avoid over-segmentation?



28. What must be checked before merging two regions?



29. Region splitting and merging algorithms work on which domain?



30. What is an application of region splitting and merging?



31. Which approach is more computationally expensive?



32. What is the major limitation of region splitting alone?



33. Which type of image is best suited for region splitting and merging?



34. Region splitting and merging methods are most suitable when:



35. Why is post-processing often applied after splitting and merging?



36. Which of the following algorithms is based on region merging?



37. In what order are operations performed in combined splitting and merging?



38. What is the output of region splitting and merging segmentation?



39. Which of the following tools are used to visualize region splits?



40. When applying merging, adjacent regions are compared for:



41. Which method works best for images with large uniform regions?



42. What is typically required after region merging to refine boundaries?



43. What technique improves segmentation quality after splitting and merging?



44. Which of the following improves performance of splitting and merging?



45. Which segmentation method uses both merging and splitting adaptively?



46. Which mathematical tool can represent splitting structure?



47. What happens if the image is noisy and no preprocessing is done?



48. When are two regions usually merged in quad-tree based methods?



49. Which of the following is most useful for real-time segmentation?



50. What is one key challenge in implementing region splitting and merging?



51. Which of the following is not required in region merging?



52. What is the result when the homogeneity threshold is zero?



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