Region-based segmentation is a technique in image processing that involves partitioning an image into segments based on the properties of connected regions. This method focuses on grouping pixels with similar characteristics, such as color, texture, or intensity, to create meaningful structures for analysis. By identifying and analyzing these regions, it's easier to detect features and anomalies that are critical for structural health monitoring applications.
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