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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 online course:
Introduction to Image Analysis for Plant Phenotyping
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This article is from the free online
Introduction to Image Analysis for Plant Phenotyping
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