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Image Stitching — MCQs | Digital Image Processing

1. What is the primary goal of image stitching in computer vision?

(A) Enhancing brightness


(B) Removing noise


(C) Creating a panorama


(D) Compressing images



2. Which key feature is most important for successful image stitching?

(A) Color depth


(B) Feature matching


(C) Image size


(D) Frame rate



3. What does a homography matrix represent in image stitching?

(A) Noise distribution


(B) Image compression ratio


(C) Geometric transformation


(D) Histogram equalization



4. Which technique is commonly used for detecting keypoints in images for stitching?

(A) SIFT


(B) K-Means


(C) PCA


(D) Sobel



5. In image stitching, blending is used to:

(A) Detect edges


(B) Match histograms


(C) Smooth transitions


(D) Convert color space



6. Which projection model is best suited for wide panoramas?

(A) Cylindrical


(B) Affine


(C) Perspective


(D) Planar



7. What problem occurs when images are not properly aligned during stitching?

(A) Color banding


(B) Ghosting


(C) Overexposure


(D) Pixel quantization



8. Which method is used to reduce parallax errors in image stitching?

(A) Histogram equalization


(B) Optical flow


(C) Image warping


(D) Thresholding



9. Which algorithm estimates the transformation between overlapping images?

(A) Mean Shift


(B) RANSAC


(C) KNN


(D) DBSCAN



10. Which component is not essential for image stitching?

(A) Keypoint detection


(B) Feature matching


(C) Image segmentation


(D) Homography estimation



11. What is the purpose of bundle adjustment in image stitching?

(A) To enhance contrast


(B) To correct camera pose


(C) To normalize lighting


(D) To equalize histograms



12. Which descriptor is most robust for matching keypoints under scale changes?

(A) LBP


(B) SURF


(C) RGB Histogram


(D) GLCM



13. Which image blending method handles exposure differences effectively?

(A) Linear blending


(B) Multiband blending


(C) Median filtering


(D) Bilateral filtering



14. Which feature detector is computationally efficient and rotation invariant?

(A) ORB


(B) Gabor


(C) Canny


(D) HOG



15. Which technique is commonly used to stitch images from UAVs?

(A) Fourier Transform


(B) Photometric stereo


(C) Mosaic generation


(D) Optical zoom



16. Which of the following is a common cause of stitching failure?

(A) High contrast


(B) Lens distortion


(C) Large memory


(D) Small resolution



17. What kind of transformation is typically used in aligning images for stitching?

(A) Non-linear transformation


(B) Rigid transformation


(C) Projective transformation


(D) Translation only



18. Which blending technique helps in reducing seams between images?

(A) Low-pass filtering


(B) Alpha blending


(C) Sobel edge blending


(D) Thresholding



19. Which of the following helps in aligning overlapping regions accurately?

(A) Color histograms


(B) Edge detectors


(C) Keypoint correspondences


(D) Segmentation masks



20. What is a major limitation of using only translation for stitching images?

(A) Inability to match colors


(B) Cannot handle parallax


(C) Requires high contrast


(D) Needs GPU acceleration



21. Which of the following is not a feature matching technique?

(A) FLANN


(B) Brute-force matcher


(C) Kalman filter


(D) KNN matcher



22. Why is cylindrical projection used in stitching?

(A) To preserve brightness


(B) To reduce ghosting


(C) To handle wide-angle distortion


(D) To enhance resolution



23. Which step involves computing the relationship between two image planes?

(A) Feature extraction


(B) Homography estimation


(C) Color adjustment


(D) Gradient computation



24. What is used to measure the similarity between two descriptors?

(A) Euclidean distance


(B) Entropy


(C) Mean intensity


(D) Phase correlation



25. Which method ensures robustness against outliers in keypoint matching?

(A) DCT


(B) Laplacian filter


(C) RANSAC


(D) Histogram matching



26. Which component helps improve stitching for scenes with depth variation?

(A) Segmentation


(B) Exposure fusion


(C) Depth map


(D) Binary thresholding



27. What is the first step in the image stitching pipeline?

(A) Blending


(B) Warping


(C) Feature detection


(D) Segmentation



28. What does SIFT stand for?

(A) Scale Invariant Feature Transform


(B) Spatial Interpolation Frequency Technique


(C) Spatial Image Feature Tracking


(D) Shape Integration Function Tool



29. Which descriptor performs best under scale, rotation, and illumination changes?

(A) HOG


(B) LBP


(C) SIFT


(D) Histogram Equalization



30. In which domain are images transformed for frequency-based blending?

(A) Color domain


(B) Frequency domain


(C) Spatial domain


(D) Intensity domain



31. Which step reduces visual discontinuities in stitched images?

(A) Thresholding


(B) Edge detection


(C) Seam optimization


(D) Histogram matching



32. Which descriptor combines FAST keypoints with BRIEF descriptors?

(A) SURF


(B) ORB


(C) SIFT


(D) LBP



33. Why is camera calibration important in image stitching?

(A) To reduce file size


(B) To convert images to grayscale


(C) To correct geometric distortion


(D) To change resolution



34. Which feature matching strategy selects the best match from a set of candidates?

(A) KNN matching


(B) Histogram comparison


(C) Color balancing


(D) Gradient filtering



35. What is the role of the overlap region in image stitching?

(A) Compression


(B) Matching and alignment


(C) Sharpening


(D) Resizing



36. Which image format is best for high-quality stitching output?

(A) JPEG


(B) TIFF


(C) BMP


(D) GIF



37. Which stitching problem is caused by camera movement during capture?

(A) Vignetting


(B) Parallax


(C) Overexposure


(D) Banding



38. What is the main purpose of warping in image stitching?

(A) Brightness adjustment


(B) Shape alignment


(C) Size compression


(D) Gradient enhancement



39. Which process involves minimizing feature alignment error in stitching?

(A) Normalization


(B) Bundle adjustment


(C) Thresholding


(D) Edge sharpening



40. Which technique is least affected by affine transformations?

(A) Canny


(B) ORB


(C) SIFT


(D) Histogram



41. Which method is most effective for blending varying exposures in stitching?

(A) Log transformation


(B) Multiband blending


(C) Thresholding


(D) Dilation



42. Which algorithm is used to align keypoints between images?

(A) RANSAC


(B) Gaussian Blur


(C) Canny Edge


(D) K-Means



43. Which is not a benefit of automatic image stitching?

(A) Reduced manual effort


(B) Faster processing


(C) Higher segmentation accuracy


(D) Consistent alignment



44. Which operation is not typically part of stitching pipelines?

(A) Histogram equalization


(B) Feature matching


(C) Homography estimation


(D) Image warping



45. Which software library is widely used for image stitching?

(A) OpenCV


(B) NumPy


(C) Matplotlib


(D) TensorFlow



46. Which parameter is critical for good feature detection in images?

(A) Brightness


(B) Texture


(C) Blur


(D) Saturation



47. Which keypoint detector is based on intensity differences?

(A) FAST


(B) Canny


(C) Gabor


(D) Laplacian



48. What does an image mosaic refer to in stitching?

(A) A blurred image


(B) An edge map


(C) A composite panoramic image


(D) A thresholded mask



49. Which transformation accounts for rotation, translation, and perspective?

(A) Euclidean


(B) Similarity


(C) Projective


(D) Affine



More MCQs on Digital image Processing

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  4. Image Sampling & Quantization — MCQs | Digital Image Processing

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  8. Contrast Stretching — MCQs | Digital Image Processing

  9. Image Arithmetic (Add, Subtract, Multiply, Divide) — MCQs | Digital Image Processing

  10. Bit-plane Slicing — MCQs | Digital Image Processing

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  17. Low-pass & High-pass Filters — MCQs | Digital Image Processing

  18. Homomorphic Filtering — MCQs | Digital Image Processing

  19. Noise Models (Gaussian, Salt & Pepper, Speckle) — MCQs | Digital Image Processing

  20. Adaptive Filtering — MCQs | Digital Image Processing

  21. Inverse & Wiener Filtering — MCQs | Digital Image Processing

  22. Pseudo-color & True-color Processing — MCQs | Digital Image Processing

  23. Color Space Conversion (RGB ↔ HSV, HSI, YCbCr) — MCQs | Digital Image Processing

  24. Color Image Enhancement — MCQs | Digital Image Processing

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  26. Edge-based Segmentation — MCQs | Digital Image Processing

  27. Region Splitting and Merging — MCQs | Digital Image Processing

  28. Watershed Algorithm — MCQs | Digital Image Processing

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  30. Boundary Extraction — MCQs | Digital Image Processing

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  32. Connected Components Labeling — MCQs | Digital Image Processing

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  34. Shape Descriptors (Perimeter, Area, Compactness, Eccentricity) — MCQs | Digital Image Processing

  35. Statistical Features (Mean, Variance, Skewness) — MCQs | Digital Image Processing

  36. Principal Component Analysis (PCA) — MCQs | Digital Image Processing

  37. Linear Discriminant Analysis (LDA) — MCQs | Digital Image Processing

  38. Feature Matching (SIFT, SURF, ORB) — MCQs | Digital Image Processing

  39. Image Registration — MCQs | Digital Image Processing

  40. Image Stitching — MCQs | Digital Image Processing

  41. Motion Detection & Optical Flow — MCQs | Digital Image Processing

  42. Background Subtraction — MCQs | Digital Image Processing

  43. Object Detection & Tracking — MCQs | Digital Image Processing

  44. Template Matching — MCQs | Digital Image Processing

  45. Pattern Recognition (KNN, SVM, ANN) — MCQs | Digital Image Processing

  46. Image Classification — MCQs | Digital Image Processing

  47. Image Clustering — MCQs | Digital Image Processing

  48. Image Compression (RLE, Huffman, LZW, JPEG, JPEG2000) — MCQs | Digital Image Processing

  49. Video Compression (MPEG, H.264) — MCQs | Digital Image Processing

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  51. Image Watermarking — MCQs | Digital Image Processing

  52. Steganography — MCQs | Digital Image Processing

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  54. Gesture Recognition — MCQs | Digital Image Processing

  55. 3D Image Processing — MCQs | Digital Image Processing

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  57. Medical Image Analysis (CT, MRI, Ultrasound) — MCQs | Digital Image Processing

  58. Remote Sensing Image Processing — MCQs | Digital Image Processing

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  60. Deep Learning for Image Processing (CNN, GANs, Autoencoders) — MCQs | Digital Image Processing

  61. Image Captioning — MCQs | Digital Image Processing

  62. Semantic & Instance Segmentation (Mask R-CNN, U-Net) — MCQs | Digital Image Processing

  63. Super Resolution (SRCNN, ESRGAN) — MCQs | Digital Image Processing

  64. Image Inpainting — MCQs | Digital Image Processing

  65. Image Style Transfer — MCQs | Digital Image Processing

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