Grain Size Analysis in Python Using Watershed

Learn how to perform grain size analysis in Python using the watershed algorithm in this 39-minute tutorial. Explore the limitations of threshold-based segmentation for distinguishing features in microscope images and discover how watershed-assisted segmentation can effectively separate grains or cells. Follow along with a code walkthrough using a microscope image of grains and boundaries. Understand key concepts such as watershed definition, segmentation, thresholding, and marker arrays. Implement techniques like distance transformation, marker creation, and clearBorder operations. Access the complete code on GitHub to enhance your microscopy image analysis skills.

Introduction
Code walkthrough
Output
Watershed definition
Watershed segmentation
Watershed thresholding
Coding
Grain boundary pixels
Distance transformation
Thresholding
Markers
Marker array
Watershed
ClearBorder