| scikit-image examples and tutorials |
Comprehensive list of imaging tasks with example code. scikit-image is an imaging library for python. |
http://scikit-image.org/docs/dev/auto_examples/ |
van der Walt et al. (2014) |
| OpenCV tutorials |
A collection of tutorials for OpenCV in C++. OpenCV is a standard computer vision library available in C++, python, and other languages. |
http://docs.opencv.org/2.4/doc/tutorials/tutorials.html |
Bradski and Kaehler (2008) |
| Mahotas documentation |
Mahotas is a python library written in C++. The documentation provides many examples for standard imaging tasks. |
http://mahotas.readthedocs.io/en/latest/ |
Coelho (2013) |
| DIRT tutorials and videos |
DIRT (for Digital Imaging of Root Traits) is an online root phenotyping platform that allows users to submit root images for phenotyping. The website contains tutorials and videos for nontechnical users as well as documentation for developers. It’s source code is freely available. |
Online interface: |
Bucksch et al. (2014) |
| http://dirt.iplantcollaborative.org/get-started |
|
| Source code: |
Das et al. (2015) |
| https://github.com/Computational-Plant-Science/DIRT |
|
| Phenotiki |
Hardware (Raspberry Pi) and software for analyzing growth chamber-collected phenotyping data. |
http://phenotiki.com/getting_started.html |
Minervini et al. (2014) |
|
Giuffrida et al. (2015) |
