ramomar / basic-computer-vision-2017

Some implementations of basic Computer Vision/Image processing algorithms.

basic-computer-vision-2017

This repo contains some basic Computer Vision algorithms implemented in a Jupyter notebook using numpy and a little OpenCV.

Algorithms

• Grayscale resolution.
• Variance based thresholding (Otsu, 1979).
• Entropy based thresholding (Kapur et al., 1985).
• Line Hough transform.
• Circle Hough transform.
• Custom BFS-based segmentation algorithm.