In this tutorial, we’ll learn about a step-by-step implementation and utilization of OpenCV’s Contour Approximation. When I first chanced upon the concept of Contour Approximation, the first question that hit me was: Why? Throughout my journey in Machine Learning and…

Today’s blog post is a followup to a tutorial I did a couple of years ago on finding the brightest spot in an image. My previous tutorial assumed there was only one bright spot in the image that you wanted…

A few weeks ago, I demonstrated how to order the (x, y)-coordinates of a rotated bounding box in a clockwise fashion — an extremely useful skill that is critical in many computer vision applications, including (but not limited to) perspective…

This is the final post in our three part series on shape detection and analysis. Previously, we learned how to: Compute the center of a contour Perform shape detection & identification Today we are going to perform both shape detection…

Last updated on July 7, 2021. This tutorial is the second post in our three-part series on shape detection and analysis. Last week we learned how to compute the center of a contour using OpenCV. Today, we are going to…

Today, we are going to start a new 3-part series of tutorials on shape detection and analysis. Throughout this series, we’ll learn how to: Compute the center of a contour/shape region. Recognize various shapes, such as circles, squares, rectangles, triangles,…

I’m going to start this post by clueing you in on a piece of personal history that very few people know about me: as a kid in early high school, I used to spend nearly every single Saturday at the…