Repo for course MC920, with all practical projects developed for the course.
Uses NumPy, OpenCV and Scikit-Image.
The Images folder contains inputs for all projects, of different dimensions, extensions and types.
Every project has:
- Python script with the project implementations.
- Some outputs.
- Report on the project, with result analysis (in Portuguese).
Project 0 - Small image-related transformations. Grade: 10/10.
Project 1 - Halftoning method to transform greyscale images into black and white, preserving most information. Grade: 10/10.
Project 2 - Analysis of multiple global and local thresholding methods. Grade: 10/10.
Project 3 - Image segmentation and object analysis, using all available library functions. Grade: 10/10.
Project 4 - Steganography encoder and decoder to hide messages inside images. Grade: 10/10.
Project 5 - Principal Component Analysis for compression, using SVD. Grade: 10/10.
Course given by professor Helio Pedrini.
Institute of Computing - UNICAMP (State University of Campinas) - 2019