Clashifier

##Clashifier##

Clashifier is open source software, and is part of open source research by the Public Laboratory for Open Technology and Science.

To use Clashifier, you can:

• Train it with a "classname" and a set of corresponding color bands (red, green, blue, near-infrared)
• Find the nearest classname to a set of color bands (and their relative cartesian distance)
• (soon) point it at the URL of an image to get back an image color-coded by classname
• (soon) "draw" on an image in-browser with a colored "pen" to classify pixels from that image and train a model

We hope this will be useful for:

• automatically classifying aerial imagery by land use or type
• detecting and quantifying geographic events like oil spills or chemical seeps
• identifying different plant species, especially in a monoculture as found in wetlands
• (maybe?) identifying crop diseases

This project is in early-stage development and we really need all the help we can get! Get in touch on the Public Laboratory mailing list (sign up at publiclaboratory.org/user/register to join) and pitch in!

######################## Depends on: ########################

• RMagick
• rmagick gems, paperclip

######################## To do: ########################

• start with a few sample images and set up Fred to grab pixel colors based on clicks (naming a class in an input field)
• allow submission of batches of pixels and start collecting sets of pixels based on dragging -- "painting"
  • try coloring what you've "painted"
• Set up image uploading with Paperclip
• histogram an image by classname
• generate a new image colored by classname, with an HTML key
• create an image proxy which colors by classname

Later on:

• Consider normalized RGB: R/(R+G+B) to reduce lighting effects?
• Other classification techniques: SVM, KNN, Neural network

######################## Helpful reading ########################

"Naive Bayes Classification in Ruby using Hadoop and HBase"

• http://findingscience.com/ankusa/hbase/hadoop/ruby/2010/12/02/naive-bayes-classification-in-ruby-using-hadoop-and-hbase.html

"Bayesian marker extraction for color watershed in segmenting microscopic images"

• Olivier Lezoray, Hubert Cardot

"Classifier gem: Classifier is a general module to allow Bayesian and other types of classifications."

• https://github.com/cardmagic/classifier

"Progress in pattern recognition, image analysis and applications"

• Luis Rueda, Domingo Mery, Josef Kittler
• http://books.google.com/books?id=JMQk1HJmhv0C&pg=PA813&lpg=PA813&dq=naive+bayes+color+classification+rgb&source=bl&ots=MJnQgy9Wwf&sig=Z_99zvjO-LsKBbp9v3D29dJ039o&hl=en&ei=TVitTsPmJ-Ld0QGMp-GuDw&sa=X&oi=book_result&ct=result&resnum=2&ved=0CCEQ6AEwAQ#v=onepage&q=naive%20bayes%20color%20classification%20rgb&f=false

"Ways to improve Image Pixel Classification"

• Stack Overflow
• http://stackoverflow.com/questions/6613825/ways-to-improve-image-pixel-classification