README.md

Computer Vision Labs

Laboratories of Computer Vision, Unipd course 2021/22.

Lab 1 - Intro to OpenCV

Topics:

• OpenCV Hello World
• Dealing with the image channels
• Vertical and horizontal gradient, chessboard creation
• Rotation and affine transform

Files: Lab1

Lab 2 - Filters and Histogram

Topics:

• Gray-scale convertion
• Implementation of max/min filters
• Median and Gaussian filters
• Image histogram and histogram equalization

Files: Lab2

Lab 3 - Mouse Callback

Topics:

• Callback functions on mouse click
• Image segmentation and mask
• Change image's colors using mask

Files: Lab3

Lab 4 - Edge Detection

Topics:

• Canny edge detector and trackbars
• Hough transform for lines
• Road sign detection with Hough circular transform

Files: Lab4

Lab 5 - Segmentation

Topics:

• Otsu's optimal threshold (Histogram based)
• Region growing method and Watershed transformation
• Clustering based methods

Files: Lab5

Lab 6 - Image Matching

Topics:

• Evaluating features on images
• Matching features between images
• Compare images' content using different matching strategy

Files: Lab6

Lab 7 - Image Stitching

Topics:

• Creation of a panorama by merging together a set of images
• Cylindrical projection and SIFT feature extraction
• Brute force matcher and findHomography() function

Files: Lab7

Lab 8 - Camera Calibration

Topics:

• Get calibration images using a camera
• Calibrates the camera using the points of the pattern
• Undistorts and rectifies new images

Files: Lab8