Grain Size Analysis in Python Using a Microscope Image

Learn how to perform grain size analysis using Python and microscope images of metal alloys. This 41-minute video tutorial guides you through the image processing steps required to automate grain analysis for quality control and research purposes. Explore techniques for denoising, thresholding, and labeling microscope images to extract grain properties. Discover how to generate a comprehensive grain analysis summary and export the results to a CSV file. Follow along with provided code examples and gain practical skills in using Python for microscopy applications. Access the complete source code on GitHub to further enhance your understanding and apply these techniques to your own projects.

Intro
microscope image
notes
steps
load image
define pixels
denoising
Histogram
Thresholding
Running the code
Defining kernel
Converting to binary image
Labels
Properties in clusters
Properties list