I have posted an ajax version of the segmentation and false coloring application here.

This application produces an artistic rendering of an image. The options are to have the image rendered in a patchwork of random colors, or to have similar areas of the image colored in the average color of that image. Looks sort of like the image has been smoothed out.

I created an interactive, online version of the Felzenszwalb & Huttenlocher segmentation algorithm.

Here are the details of the engineering behind it:

Efficient Graph-Based Image Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, 59(2) September 2004.

The program takes a color image (PPM format) and produces a segmentation with a random color assigned to each region.

The parameters are: (see the paper for details)

sigma: Used to smooth the input image before segmenting it.
k: Value for the threshold function.
min: Minimum component size enforced by post-processing.

Typical parameters are sigma = 0.5, k = 500, min = 20.
Larger values for k result in larger components in the result.

Also, I reimplemented the average color algorithm