Flexible Multi-Region of Interest Selection and Operation in Image Processing

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Resource Overview

This method enables interactive selection and manipulation of multiple regions of interest (ROIs) within images, supporting diverse processing operations for comprehensive image analysis through targeted regional adjustments.

Detailed Documentation

When implementing this approach, users can freely select multiple regions of interest (ROIs) within an image and perform various operations on them. This capability enables more comprehensive image processing, allowing different operations to be applied to distinct regions for achieving higher precision results. From a technical implementation perspective, this typically involves using bounding box or polygon selection tools through computer vision libraries (e.g., OpenCV's cv2.selectROI() function), with each ROI stored as coordinate sets for independent processing pipelines. Common operations include region-specific filtering, morphological transformations, or statistical analysis, which can be implemented through mask-based array operations in frameworks like NumPy or MATLAB.

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