Image Region of Interest (ROI) Selection

This code provides a complete implementation for selecting image regions of interest (ROI) in images and can be directly integrated into projects. The implementation includes core image processing techniques such as coordinate-based ROI extraction, mask generation, and boundary detection algorithms. For enhanced code readability and maintainability, consider adding comprehensive code comments documenting the algorithm workflow and parameter descriptions. Additional image processing algorithms and techniques could be explored to extend functionality, such as implementing adaptive thresholding for automatic ROI detection or integrating morphological operations for refined region selection. These implementations typically utilize key functions like cv2.selectROI() for interactive selection or custom coordinate processing for automated approaches. The code serves as a valuable reference for understanding fundamental ROI selection methodologies in computer vision applications.