Edge-based Segmentation — MCQs | Digital Image Processing

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1. Which technique is primarily used in edge-based segmentation to detect changes in intensity?



2. Which of the following is a commonly used edge detection operator?



3. Which edge detection method uses the second derivative of intensity?



4. What is the primary goal of edge-based segmentation?



5. Which of the following operators is used to approximate the gradient magnitude?



6. Which edge detector uses non-maximum suppression and double thresholding?



7. Which of the following is NOT a first-order edge detector?



8. What does the Canny edge detector aim to optimize?



9. What is the first step in the Canny edge detection algorithm?



10. Which filter is commonly used before applying the Canny edge detector to reduce noise?



11. In edge-based segmentation, edges are detected based on what?



12. Which of the following is an isotropic edge detector?



13. Which operator calculates the difference between diagonally adjacent pixels?



14. Which technique is effective for detecting edges in noisy images?



15. The gradient magnitude is computed from which two components?



16. Which of the following edge detectors uses a 3×3 convolution mask?



17. Which step in Canny edge detection removes false edges caused by noise?



18. Double thresholding in Canny edge detection is used to:



19. Which operator performs best at detecting vertical edges?



20. In Canny edge detection, which step ensures that edges are as thin as possible?



21. Edge-based segmentation fails in which of the following situations?



22. Which of the following is a disadvantage of edge-based segmentation?



23. What is the main advantage of the Sobel operator?



24. Which method is often combined with edge detection to form complete regions?



25. What does the Laplacian operator detect?



26. Which is an example of a zero-crossing detector?



27. What is the effect of increasing the threshold in edge detection?



28. Which of the following edge detectors does not use convolution masks?



29. Which method uses zero-crossings in the second derivative for edge detection?



30. In edge-based segmentation, what defines a closed region?



31. What does a large gradient magnitude indicate in an image?



32. Which filter combines Laplacian and Gaussian smoothing?



33. What is the purpose of edge thinning in segmentation?



34. Which property is critical for a good edge detector?



35. The Laplacian operator is sensitive to:



36. Which of the following helps in closing small gaps in edge maps?



37. The gradient direction is calculated using:



38. What type of kernel is used in the Prewitt operator?



39. Which step follows non-maximum suppression in Canny edge detection?



40. The direction of the edge is:



41. Edge linking is used to:



42. Which of the following affects edge detection the most?



43. The Roberts operator uses how many pixels for calculation?



44. The Laplacian is a:



45. What shape is the kernel of the Gaussian filter?



46. What does non-maximum suppression do in edge detection?



47. Which edge detection technique performs multi-stage processing?



48. Why is edge detection important in image segmentation?



49. Which type of edge is easiest to detect?



50. Which operator detects diagonal edges best?



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