Some sample code for image processing using Scikit-Image and video processing with OpenCV.

1. denoise.py: sharpen an image using deconvolution.
2. segmentation.py: segmentation using an active cotour model, aka, snake.
3. restoration.ipynb: Jupyter notebook illustrating analysis of a problematic camera image and custum restoration.
4. Data: directory containing image files for illustration purposes.
5. caputure.py: capture video from a webcam using OpenCV.
6. analyze.py: show a plot of the average RGB values for the frames in a movie using OpenCV.
7. split_scenes.py: very naive utility to split a movie into scences, based on rapid changes in RGB intenisty.
8. bouncing_ball_full.avi: movie to test scene_spliiter.py with.
9. follow_ball.py: example of using the camshift algorithm to follow a bouncing ball in a scene.
10. bouncing_ball.avi: movie to test follow_ball.py with.