Hi ,
Your project highlights specific methodologies that were proven innovative in the image processing literature. Lot of research focused primarily on faster techniques for image recognition and classification. In this domain, randomized decision trees and forests were known to be applied and their capacity does not just pertain to bio medical engineering (where we see a lot of applications like using RF to optimally classify complex images with diabetes or cancer) but also extends itself to fingerprints/hand writing etc. R, Matlab and Python. My use of decision trees was limited to R and python evironments but have extensively used Matlab to perform a lot of other engineering design problems.
In addition to RF application, I intend to compare the same with Neural Networks if you are interested in a comparative analysis. I had experience with communicating and writing research articles in addition to performing literature reviews. This project sounds exciting and believe I can address your requirements with robust implementation and documentation.
Please let me know if my profile suits your project.
Thanks,
Vamsi