Recognizing Shapes in Images with OpenCV
Offered By: Coursera Project Network via Coursera
Course Description
Overview
In this 1.5 hour long project-based course, you will apply computer vision techniques to process images, extract useful features and detect shapes using Hough transforms.
By the end of this project, you will have analyzed real-world images using industry standard tools, including Python and OpenCV.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Syllabus
- Project Overview
- In this 1.5 hour long project-based course, you will apply computer vision techniques to process images, extract useful features and detect shapes using Hough transforms. By the end of this project, you will have analyzed real-world images using industry standard tools, including Python and OpenCV.
Taught by
Daniel Romaniuk
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Computational Photography
Georgia Institute of Technology via Coursera Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera Introduction to Computer Vision
Georgia Institute of Technology via Udacity