Image Recognition Project

The purpose of this project is to build efficient software solutions that allow to extract information from images.

Project Description

Imagine you have set of images with colloidal particles and you would like find the distribution of particles with diameter after you changed the parameters of your experiment. Or you captured images of stars in one of constellations of the Universe and you are interested in changes after explosion of supernova. Trying to extract this information manually becomes a tedious and very expensive problem. This is where the smart tool that allows to recignize, extract and present information from images becomes useful. The recognition process is based on the Back Propagation Neural Network.

If you are interested in joining the project, you can email me.
This is not just about stars :).

Team

Alex Dementsov

Useful links

Computer Vision Research Groups
Neural Networks (Wikipedia)
Information Theory, Inference, and Learning Algorithms (Free book)
Back-Propagation Neural Network Tutorial (by Philippe Crochat and Daniel Franklin)
The BackPropagation Network: Learning by Example (by Devin McAuley)