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Computer-Vision-and-Image-Processing

Task1: Panorama Creation

  • Found keypoints (i.e. points of interest) in the given images, using SIFT point detector.
  • Used SIFT to extract features for these keypoints.
  • Matched the keypoints between two images by comparing their feature distance using KNN, k=2. I have used “ratio testing” to filter good matches (n0 = 0.75).
  • Computed the homography matrix using RANSAC algorithm.
  • Used the homography matrix to stitch the two given images into a single panorama.

Left and Right Images

Panorama:

Task2: Denoising and Edge Detection

  • Performed Image denoising and Edge detection
  • Implemented a 3x3 median filter to denoise image with salt-and-pepper noise
  • Manually created different filters to detect horizontal, vertical, 45° direction and 135° direction (i.e. diagonal) edges

Noisy image and denoised image:

Edge detection:

Edges along x and y

Edges along 45° and 135°

Task3: Morphology Image Processing

  • Implemented four morphology operations
    • Erode
    • Dilate
    • Open
    • Close
  • Implemented denoising using open and close operations
  • Implemented boundary extraction using erode operation.

Noisy image, Denoised image and Boundary extracted image