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