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
Artificial Intelligence for RoboticsStanford University via Udacity Intro to Computer Science
University of Virginia via Udacity Design of Computer Programs
Stanford University via Udacity Web Development
Udacity Programming Languages
University of Virginia via Udacity