Edge Detection (Sobel, Prewitt, Roberts, Canny, LoG) — MCQs | Digital Image Processing

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1. Which edge detection operator uses a pair of 3×3 convolution masks to detect horizontal and vertical edges?



2. Which edge detection method combines Gaussian smoothing with Laplacian operation?



3. Which operator is best for detecting diagonal edges in an image?



4. Which method is known for using non-maximum suppression in its edge detection process?



5. Which edge detector applies double thresholding to identify potential edges?



6. Which of the following edge detectors performs best in the presence of noise?



7. What is the size of the Roberts operator masks?



8. Which method is a derivative-based edge detector that uses two kernels to approximate gradients?



9. Which edge detection operator uses the square root of the sum of squared gradients?



10. Which operator is considered the simplest in terms of implementation?



11. Which step in the Canny algorithm ensures only the most prominent edges remain?



12. Which edge detection technique uses the second derivative?



13. In which operator are the gradient directions computed using arctangent?



14. Which operator uses a 3×3 kernel with equal weights for vertical and horizontal gradients?



15. Which operator combines edge detection with smoothing in a single step?



16. Which operator is more sensitive to noise due to its small kernel size?



17. Which edge detection operator is directional and not rotationally symmetric?



18. Which of the following is NOT a step in the Canny edge detection process?



19. Which edge detection method gives thick edges and is not ideal for accurate localization?



20. Which method is ideal for detecting edges with low contrast but good noise suppression?



21. Which operator is a discrete differentiation operator?



22. What is the primary limitation of the Roberts operator?



23. Which of the following does Canny use to connect edge pixels?



24. Which of these uses the Laplacian operator after Gaussian filtering?



25. Which method provides better edge continuity?



26. Which operator approximates the gradient magnitude?



27. In LoG, what shape is used to perform convolution?



28. Which edge detector typically produces the thinnest edges?



29. Which operator performs better at corners and curves?



30. Which operator is symmetric and uses weights based on pixel distance?



31. Which operator approximates gradients using central differences?



32. What is the main advantage of the Sobel operator over Prewitt?



33. Which edge detector is best suited for images with high noise levels?



34. Which of the following detects both positive and negative edges?



35. Which operator has diagonal masks for gradient approximation?



36. In edge detection, the gradient is high when:



37. What does hysteresis in Canny help prevent?



38. Which is not a commonly used edge detection method?



39. Which of the following uses a single high-pass filter?



40. Which edge detection method is considered multi-stage?



41. What kernel is used in Sobel for horizontal edge detection?



42. What is the role of Gaussian smoothing in Canny edge detection?



43. Which edge detector has the best localization, detection, and low response?



44. In Canny, edges are marked only if they are:



45. Which edge detection operator is based on zero-crossings?



46. Which operator emphasizes edges more heavily than Prewitt?



47. Which edge detector requires tuning two thresholds?



48. Which operator computes gradient using orthogonal masks?



49. What makes Canny different from other edge detectors?



50. Which step is first in Canny edge detection?



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