How Duolingo Plans to Reach 100M Users

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Thresholding and Morphological Operations Using OpenCV in Python

DigitalSreeni via YouTube

Start learning Write review
Scrimba Ad

Free courses from frontend to fullstack and AI

Learn More → Coursera Ad

Launch a New Career with Certificates from Google, IBM & Microsoft

Learn More →

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 clean up post-thresholding noise in images using morphological operations in OpenCV with Python. Explore erosion, dilation, and opening techniques to effectively remove unwanted artifacts. Gain hands-on experience with practical code examples and understand how to apply median operations for improved image processing results.

Syllabus

Introduction
Code
Erosion
Opening
Median operation

Taught by

DigitalSreeni

Reviews

Start your review of Thresholding and Morphological Operations Using OpenCV in Python

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.