##To do##

This list needs fleshing out. It should look kinda like something from this example list: http://community.kde.org/GSoC/2011/Ideas

##Clashifier open source image classification##

* Goal: identify wetlands species and/or oil contamination
* http://github.com/jywarren/clashifier
* GPLv3

###Project: abstract Classifiers class to make different classifiers more pluggable###

**Description:** Some structural changes are necessary to allow people to develop and add new classifiers to the system. It should be as easy as having a "classifier.classify()" function which accepts an RGB (or more colors) pixel value, or perhaps an image and x,y coordinates. Some of this work has been started in the /lib/ directory, but it will require some architectural changes.

* Prerequisites: Ruby/Rails, some familiarity with classification algorithms like naive bayes or cartesian, or anything else
* Difficulty level: medium
* Mentor: Jeff Warren (jeff@publiclaboratory.org)

##Spectral Workbench open source spectral analysis##

* Goal: spectrum pattern matching to identify oil contamination
* http://github.com/jywarren/spectral-workbench
* GPLv3

##MapKnitter open source image rectification and GIS##

* Goal: spectrum pattern matching to identify oil contamination
* http://github.com/jywarren/mapknitter
* GPLv3

##open source live NDVI/NRG infrared vegetation analysis from an Android phone##

* (based on code in https://github.com/jywarren/infrared-visible-video-kit)
* MIT license