Master Agentic AI, GANs, Fine-Tuning & LLM Apps
MIT Sloan AI Adoption: Build a Playbook That Drives Real Business ROI
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn to implement Random Walker segmentation in Python for complex image analysis using a noisy backscattered electron (BSE) image from an alloy. Explore the limitations of histogram-based segmentation and discover how to overcome them with this advanced technique. Follow along as the tutorial guides you through the process, from introduction to combining segments, with practical code examples available on GitHub for hands-on practice.
Syllabus
Introduction
Image segmentation
Histogram
Markers
Combining segments
Summary
Taught by
DigitalSreeni