Image Feature Extraction in OpenCV: Edges and Corners
In the world of computer vision and image processing, the ability to extract meaningful features from images is important. These features serve as vital inputs for various downstream tasks, such as object detection and classification. There are multiple ways to find these features. The naive way is to count the pixels. But in OpenCV, there are many routines to help you extract features from an image. In this post, you will see how OpenCV can help find some high-level features.
After completing this tutorial, you will know:
- Corner and edges can be extracted from an image
- What are the common algorithms available in OpenCV for extracting corners and edges
Kick-start your project with my book Machine Learning in