Template Matching — MCQs | Digital Image Processing

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1. What is the main objective of template matching in image processing?



2. Which metric is commonly used to evaluate similarity in template matching?



3. Which method improves template matching by accounting for brightness variations?



4. Which of the following is a disadvantage of basic template matching?



5. What is the typical shape of a template used in template matching?



6. Which domain is usually used for simple template matching?



7. What is the result of the template matching process?



8. Which technique allows for rotation-invariant template matching?



9. Which of the following improves robustness in template matching?



10. Template matching works best when:



11. Which is a limitation of using raw intensity for template matching?



12. Which matching metric is most sensitive to lighting changes?



13. In template matching, what is a typical size relationship between the template and the input image?



14. Which operation is performed to slide the template over the image?



15. How is template matching affected by noise in the image?



16. What is the main alternative to template matching for object detection?



17. Template matching is considered a:



18. Which technique improves template matching by handling different scales?



19. Which measure in template matching gives the lowest value for a best match?



20. Which template matching method is least affected by changes in contrast?



21. Which feature of an object must remain constant for effective template matching?



22. What is the effect of increasing template size in matching?



23. In normalized cross-correlation, values range between:



24. Why is template matching considered computationally expensive?



25. Which function in most image processing libraries performs template matching?



26. Which property of the image must match the template for accurate detection?



27. What is the primary application of template matching?



28. Which of the following can help detect rotated templates?



29. Which algorithm can accelerate template matching?



30. Which of the following is a local matching method?



31. In template matching, what causes poor results in cluttered backgrounds?



32. Which domain approach is better for real-time matching?



33. What happens when a poor threshold is chosen in similarity map?



34. Which image transformation can help template matching under perspective change?



35. Template matching is best suited for which type of pattern recognition?



36. Which is the simplest method for measuring difference in matching?



37. Which pre-processing step can improve matching accuracy?



38. What is the effect of downsampling the image before matching?



39. What is an advantage of template matching over feature-based methods?



40. Which value of normalized cross-correlation indicates a perfect match?



41. Why does template matching fail in scale-variant images?



42. Which interpolation method is often used while resizing a template?



43. Which of the following is a non-parametric matching method?



44. Which component does template matching rely on most?



45. Which condition improves detection performance in template matching?



46. In practical applications, template matching is best used when:



47. Which method allows for scale-invariant matching?



48. Which of the following best describes template matching?



49. What kind of object movement invalidates template matching?



50. Which matching technique uses pixel-wise comparison between a template and subregions of the input image?



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