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