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Edge-based Segmentation — MCQs | Digital Image Processing

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

(A) Region growing


(B) Histogram equalization


(C) Gradient operators


(D) Thresholding



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

(A) Gaussian


(B) Sobel


(C) Mean


(D) Laplace



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

(A) Prewitt


(B) Canny


(C) Laplacian


(D) Roberts



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

(A) Enhance image contrast


(B) Identify object boundaries


(C) Smooth image noise


(D) Convert image to binary



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

(A) Fourier


(B) Median


(C) Sobel


(D) DCT



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

(A) Laplacian


(B) Canny


(C) Roberts


(D) Prewitt



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

(A) Sobel


(B) Prewitt


(C) Roberts


(D) Laplacian



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

(A) Noise reduction only


(B) High contrast only


(C) Detection, localization, and minimal response


(D) Binary conversion



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

(A) Gradient calculation


(B) Smoothing with Gaussian filter


(C) Thresholding


(D) Non-maximum suppression



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

(A) Median


(B) Gaussian


(C) Laplacian


(D) Box



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

(A) Histogram peaks


(B) Pixel connectivity


(C) Intensity discontinuities


(D) Texture patterns



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

(A) Prewitt


(B) Sobel


(C) Laplacian


(D) Roberts



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

(A) Sobel


(B) Roberts


(C) Canny


(D) Laplacian



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

(A) Laplacian


(B) Sobel


(C) Canny


(D) Roberts



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

(A) Vertical and diagonal


(B) Vertical and horizontal


(C) High-pass and low-pass


(D) Red and green



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

(A) Canny


(B) Sobel


(C) Fourier


(D) Histogram



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

(A) Gaussian filtering


(B) Thresholding


(C) Edge linking


(D) Non-maximum suppression



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

(A) Convert image to grayscale


(B) Connect strong and weak edges


(C) Smooth image


(D) Calculate gradients



19. Which operator performs best at detecting vertical edges?

(A) Prewitt


(B) Laplacian


(C) Canny


(D) Sobel



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

(A) Gaussian smoothing


(B) Thresholding


(C) Non-maximum suppression


(D) Edge linking



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

(A) High contrast regions


(B) Textured areas


(C) Noisy images


(D) Smooth gradients



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

(A) Easy to implement


(B) Sensitive to noise


(C) Accurate detection


(D) Fast processing



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

(A) Speed


(B) Diagonal edge detection


(C) Noise suppression


(D) Simplicity and smoothing



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

(A) Histogram equalization


(B) Morphological operations


(C) Region growing


(D) Color enhancement



25. What does the Laplacian operator detect?

(A) First-order intensity change


(B) Mean intensity


(C) Second-order intensity change


(D) Local threshold



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

(A) Sobel


(B) Canny


(C) Laplacian of Gaussian


(D) Prewitt



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

(A) More edges detected


(B) Less edges detected


(C) Better noise suppression


(D) Brighter image



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

(A) Roberts


(B) Laplacian


(C) Canny


(D) Prewitt



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

(A) LoG


(B) Sobel


(C) Roberts


(D) Prewitt



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

(A) Texture boundary


(B) Gradient edge


(C) Continuous edge loop


(D) Histogram bin



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

(A) Constant region


(B) Smooth intensity


(C) Strong edge


(D) No edge



32. Which filter combines Laplacian and Gaussian smoothing?

(A) Prewitt


(B) LoG


(C) Sobel


(D) Median



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

(A) Remove small objects


(B) Sharpen image


(C) Reduce edge thickness


(D) Smooth background



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

(A) Low accuracy


(B) Low sensitivity


(C) High localization


(D) High saturation



35. The Laplacian operator is sensitive to:

(A) Uniform regions


(B) Gradual changes


(C) Sharp transitions


(D) Texture patterns



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

(A) Morphological closing


(B) Histogram stretching


(C) Thresholding


(D) Filtering



37. The gradient direction is calculated using:

(A) Sum of derivatives


(B) Ratio of derivatives


(C) Average of intensity


(D) Standard deviation



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

(A) Gaussian


(B) Median


(C) Averaging


(D) Derivative



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

(A) Gradient calculation


(B) Thresholding


(C) Gaussian filtering


(D) Laplacian transformation



40. The direction of the edge is:

(A) Same as gradient


(B) Perpendicular to gradient


(C) Horizontal


(D) Vertical



41. Edge linking is used to:

(A) Remove noise


(B) Fill in gaps between edge pixels


(C) Segment texture


(D) Increase resolution



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

(A) Contrast


(B) Brightness


(C) Histogram


(D) Saturation



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

(A) 4


(B) 6


(C) 9


(D) 16



44. The Laplacian is a:

(A) Non-linear operator


(B) Smoothing filter


(C) Second-order differential operator


(D) Histogram function



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

(A) Square


(B) Circular


(C) Triangular


(D) Elliptical



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

(A) Removes weak edges


(B) Thins edges by suppressing non-maximum points


(C) Blurs edges


(D) Enhances contrast



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

(A) Sobel


(B) Laplacian


(C) Canny


(D) Roberts



48. Why is edge detection important in image segmentation?

(A) Reduces size


(B) Identifies object boundaries


(C) Changes image color


(D) Improves compression



49. Which type of edge is easiest to detect?

(A) Gradual change


(B) Smooth curve


(C) Sharp edge


(D) Texture boundary



50. Which operator detects diagonal edges best?

(A) Sobel


(B) Roberts


(C) Laplacian


(D) Canny



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