Recognizing Shapes in Images with OpenCV

Offered By
Coursera Project Network
In this Guided Project, you will:

Recognize shapes in an image using Hough Transforms and OpenCV.

Clock1.5 hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Skills you will develop

  • Opencv
  • Python Programming
  • Hough Transforms

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Load an image from file

  2. Compute image gradients

  3. Detect edges in an image using Canny edge detection

  4. Recognize lines in an image using Hough transforms

  5. Recognize circles in an image using Hough transforms

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.