Snakes-in-a-Plane

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Snakes-in-a-Plane

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Active contour model (aka snakes) implemented in python.

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# Snakes in a Plane

Active contour model (aka snakes) implemented in python.

An active contour model is an image analysis technique which evolves a curve to find boundaries in images. Skimage [has an implementation of this algorithm](http://scikit-image.org/docs/dev/api/skimage.segmentation.html#skimage.segmentation.active_contour), but like many of their functions, it does a lot of preprocessing "under the hood."

This code requires only the standard python scientific stack: numpy, scipy, matplotlib, and skimage. The main functions are `fit_snake` (and `snake_energy`) in `BKlib.py`; this function will evolve a closed contour to fit an image. Starting with an initial guess for the boundary points, `fit_snake` shifts the points around until they sit at a local minimum of the function `snake_energy`. The snake energy is pretty much as described in [the wikipedia article](https://en.wikipedia.org/wiki/Active_contour_model): internal energy terms penalizing stretching, and encouraging smoothness; and external energy terms that push the curve towards edges.

I've included some examples code and data to demonstrate how it works. Just clone, and run `python snakes_demo.py`. It will show the results of the image preprocessing, initialize the snake/contour from one the of the supplied `.npy` data files, and show an animation of the fitting procedure.

These functions form the basis of the scripts in [one of my other repos](https://github.com/brikeats/Snakes-in-a-Plane).

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