Understanding cv2.boundingRect and Sorting Contours in OpenCV | Python Tutorial
In this video, we dive deeper into OpenCV by exploring the cv2.boundingRect function and how to sort contours effectively. Building on the previous video, we’ll show you how to:
Use cv2.boundingRect to find the smallest upright rectangle enclosing a contour.
Sort contours by their vertical (y) and horizontal (x) positions.
Process and display regions of interest (ROI) extracted from an image.
Learn how to handle noise, identify key regions, and prepare for advanced tasks like filtering contours and drawing bounding boxes (covered in future videos).
📚 Topics Covered:
Syntax and parameters of cv2.boundingRect
Sorting contours (top-to-bottom, left-to-right)
Cropping regions of interest (ROI) from an image
🔗 Reference: OpenCV Contour Features Documentation
https://docs.opencv.org/4.x/dd/d49/tu...