Skip main navigation

Summary and next steps

A summary of week 3 of Introduction to image analysis for plant phenotyping

This week we have looked at a lot of the important building blocks of programming and Python code in particular, while seeing how these tools can be used to code image analysis methods such as dilation and erosion.

This includes:

  • Functions
  • Displaying output with print
  • Variables
  • Use of IDEs such as Spyder
  • Data types: strings, integers, floats
  • Libraries
  • Error messages
  • For and while loops, and if / else statements
  • Manipulating pixel data with Python in both Fiji/ImageJ and OpenCV

Next week we will focus on some more of the common tasks of image analysis, including noise reduction and contrast enhancement, and image segmentation for counting and labelling of image features.

This article is from the free online

Introduction to Image Analysis for Plant Phenotyping

Created by
FutureLearn - Learning For Life

Our purpose is to transform access to education.

We offer a diverse selection of courses from leading universities and cultural institutions from around the world. These are delivered one step at a time, and are accessible on mobile, tablet and desktop, so you can fit learning around your life.

We believe learning should be an enjoyable, social experience, so our courses offer the opportunity to discuss what you’re learning with others as you go, helping you make fresh discoveries and form new ideas.
You can unlock new opportunities with unlimited access to hundreds of online short courses for a year by subscribing to our Unlimited package. Build your knowledge with top universities and organisations.

Learn more about how FutureLearn is transforming access to education