Region Segmentation Using Connected Component Labeling
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Resource Overview
Implementing region segmentation through connected component labeling with removal of small connected regions to optimize structure and eliminate redundancy
Detailed Documentation
This approach utilizes connected component labeling for region segmentation, which enables clearer visualization of distinct regions. The implementation typically involves scanning the image to assign unique labels to connected pixels, followed by calculating the area of each labeled region. Small connected regions (typically determined by a threshold value) are then filtered out to simplify the overall structure and reduce redundant information. Common implementation steps include: using binary image operations, applying labeling algorithms like Two-Pass or Seed-Filling, computing region properties using functions like regionprops(), and implementing size-based filtering through conditional statements or morphological operations.
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